Once upon a time, there was an analyst. And that analyst had some data. She used that data to do some analysis, and from that analysis she real...
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Attend any conference for any topic and you will hear people saying after that the best and most informative discussions happened in the bar after the show. Read any business magazine and you will find an article saying something along the lines of "Business Analytics is the hottest job category out there, and there is a significant lack of people, process and best practice." In this case the conference was eMetrics, the bar was….multiple, and the attendees were Michael Helbling, Tim Wilson and Jim Cain (Co-Host Emeritus). After a few pints and a few hours of discussion about the cutting edge of digital analytics, they realized they might have something to contribute back to the community. This podcast is one of those contributions. Each episode is a closed topic and an open forum - the goal is for listeners to enjoy listening to Michael, Tim, and Moe share their thoughts and experiences and hopefully take away something to try at work the next day. We hope you enjoy listening to the Digital Analytics Power Hour.
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#234: Establishing Expectations for Analysts from 2023-12-12T05:30
It would be a fool's errand to try to list out every expectation for an analyst's role, but where should you draw the line? How specific do you need to be? And ho...
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#233: Analytics Mentors (Having One, Being One) from 2023-11-28T05:30
To mentor, or not to mentor, that is the question: whether 'tis more productive to hole up in a cubicle and toil away without counsel, or to hold close one's experience to the benefit of no one ...
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#232: The Reality of Uncertainty Meets the Imperative of Actionability with Michael Kaminsky from 2023-11-14T05:30
It's been said that, in this world, nothing is certain except death and taxes, so why is it so hard to communicate uncertainty to stakeholders when delivering an ...
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#231: Estimating the Effort for Analytics Projects from 2023-10-31T04:30
Have you ever noticed that recipes that include estimates of how long it will take to prepare the dish seem to dramatically underestimate reality? We have! And th...
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#230: First, We Must Discover. Then, We Can Explore. With Viyaleta Apgar from 2023-10-17T04:30
Seemingly straightforward data sets are seldom as simple as they initially appear. And, many an analysis has been tripped up by erroneous assumptions about either...
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#229: Data and the ABCs (SERIES A, B, and C, That Is!) with Samantha Wong from 2023-10-03T04:30
Most of the time, we think of analytics as taking historical data for a business, munging it in various ways, and then using the results of that munging to make d...
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#228: What AI Can't Do with Dr. Brandeis Marshall from 2023-09-19T04:30
It's a lot of work to produce each episode of this show, so we were pretty sure that, by this time, we would have just turned the whole kit and kaboodle over to A...
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#227: Demystifying Complex Data Science Concepts for Non-Technical Audiences with Dr. Nicholas Cifuentes-Goodbody from 2023-09-05T04:30
One of the biggest challenges for the analyst or data scientist is figuring out just how wide and just how deep to go with stakeholders when it comes to key (but,...
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#226: Training Analysts to be Curious and Use Business Context with MaryBeth Maskovas from 2023-08-22T04:30
We were curious about… curiosity. We know it's a critical trait for analysts, but is it an innate characteristic, a teachable skill, or some combination of both? ...
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#225: From Stakeholder Buy-In to Stakeholder Knowledge of What That Means from 2023-08-08T04:30
This topic was such a big deal that we managed to have no guests, and yet we had five people on the mic! Why? Because this episode doubles as a marker of a shift ...
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#224: The Chronic Undervaluing of Analyst Communication Skills from 2023-07-25T04:30
On the one hand, analysts generally know and accept that part of their responsibility is to not only conduct analyses, but to effectively communicate the results ...
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#223: Explainability in AI with Dr. Janet Bastiman from 2023-07-11T04:30
To trust something, you need to understand it. And, to understand something, someone often has to explain it. When it comes to AI, explainability can be a real ch...
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#222: A is for… Analytics. Agency. Acquisitions! with Bob Morris from 2023-06-27T04:30
There comes a time in every analyst's career where they consider starting up their own consultancy. Or, if not that, then at least joining an agency or a consulta...
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#221: Causal Inference Revisited (...DAGnabbit!) with DJ Rich from 2023-06-13T04:30
What causes us to keep returning to the topic of causal inference on this show? DAG if we know! Whether or not you're familiar with directed acyclic graphs (or… DAGs) in the context of causal in...
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#220: Product Management for Data Products and Data Platforms with Austin Byrne from 2023-05-30T04:30
Data gets accessed and used in an organization through a variety of different tools (be they built, bought, or both). That work can be quick and smooth, or it can...
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#219: To Generalize or to Specialize? That is the Question! from 2023-05-16T04:30
There are only so many hours in a day and only so many days in a year. Logically, then, the best way to grow a career as a data worker is to spend as many hours a...
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#218: Delivering Value by Listening for Problems with Matty Wishnow from 2023-05-02T04:30
Do you ever feel like the experiments and analyses you're working on feel a little bit like a trip on a hamster wheel — properly grounded in hypotheses, perhaps, ...
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#217: Rethinking Privacy with Jodi Daniels from 2023-04-18T04:30
Are you already inwardly groaning a little bit because our latest episode is all about privacy? Yeah. We know. We've been tracking your emotions, along with your ...
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#216: Operationalizing a Culture of Experimentation with Lukas Vermeer from 2023-04-04T04:30
How does one build a strong culture of experimentation at an organization (and what does that even mean)? One way is to spend a few years working at a company tha...
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#215: (A Very) Real Talk about Simulation with Frances Sneddon from 2023-03-21T04:30
When it comes to simulation, we're all really asking the same question: are we living in one? Alas! We did not tackle that on this episode. Instead, with <...
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#214: Impostor Syndrome. Wait. Are We Even Qualified to Discuss That? with Julie Hoyer and Val Kroll from 2023-03-07T05:30
Do you listen to this podcast because you're pretty sure that you're a professional fraud, and you're hoping-hoping-hoping that you will absorb enough knowledge t...
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#213: Data Contracts: What They Are, Their Role, and Their Evolution with Shane Murray from 2023-02-21T05:30
When it comes to data, there are data consumers (analysts, builders and users of data products, and various other business stakeholders) and data producers (softw...
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#212: Innovation Through Analytics Within the Enterprise with Dr. Tiffany Perkins-Munn from 2023-02-07T05:30
What's more sexy: analytics or innovation? What about combining them! That sounds great, and Thomas Davenport would be so proud if you pulled it off, but the real...
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#211: What To Do Next? from 2023-01-24T05:30
We've been on a bit of a streak of culture and career discussions, which means we want to assure you that Tim is not actually tied up in a basement with no access to our content calendar. Actual...
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#210: Starting the Year with Culture with Aaron Dignan from 2023-01-10T05:30
Happy new year! We're not really resolution-making types, but the incrementing of the annum is a good time to take a breath and think about some ways we might wan...
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#209: 2022 Year in Review with Josh Crowhurst from 2022-12-27T05:30
It's that one-time-of-the-year when we do a little bit of navel-gazing, a little bit of prognostication, and, when the year is a year like 2022, a little more cur...
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#208: Charting Your Path into Data Leadership with Katie Bauer from 2022-12-13T05:30
You've got some solid experience under your belt, and you're starting to feel like you're ready to move into a data leadership role. What does that even mean? Shi...
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#207: Data Visualization in a Low-Attention World with Philip Bump from 2022-11-29T05:30
As analysts, we conduct analysis on behalf of the business to (hopefully) provide them with clear and objective information to help with making decisions. We use visual...
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#206: AI Through a Social Justice Lens with Renée Cummings from 2022-11-15T05:30
Ethics in AI is a broad, deep, and tough subject. It's also, arguably, one of the most important subjects for analysts, data scientists, and organizations overall...
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#205: Nailing the Data Science / Analytics Job Interview with Jay Feng from 2022-11-01T04:30
So, you finally took that recruiter's call, and then you made it through the initial phone screen. You weren't really expecting that to happen, but now you're fac...
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#204: Data as a Product with Eric Weber from 2022-10-18T04:30
Have you ever built a data-related "thing" — a dashboard, a data catalog, an experimentation platform, even — only to find that, rather than having the masses rac...
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#203: Is Analytics Addicted to Complexity? with Frederik Werner from 2022-10-04T04:30:10
Do analysts make things more complicated than they need to be, or is the data representing a complex world, so that is just the nature of the beast? Or is it both...
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#202: Owning vs. Helping in Analytics from 2022-09-20T04:30:59
Here at the Analytics Power Hour, we have a very clear delineation of who owns what when it comes to the show production. And ownership is the topic of this episo...
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#201: Getting to Clarity About (Statistical) Uncertainty with Dr. Rebecca Goldin from 2022-09-06T04:30:01
Our podcast junkie co-host heard the following statement on Listen
#200: Hey, Jim, You Don’t Look a Day Over 200 Episodes! with Jim Cain from 2022-08-23T04:30:48
We try not to navel gaze too much on this show, but our 200th episode felt like just enough of a milestone that we could do a mid-year "look back, look forward" s...
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#199: Media Measurement Revisited: Matched Markets, Media Mix, and More with John Wallace from 2022-08-09T04:30:14
Multi-touch attribution, media mix modeling, matched market testing. Are these the three Ms of marketing measurement (Egad! The alliteration continues!)? Seriously. What's with all the Ms here? ...
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#198: Live from Marketing Analytics Summit from 2022-07-26T04:30:50
We've always said that the genesis of this podcast was the lobby bar of analytics conferences across multiple continents, and this year's Marketing Analytics Summit in Las Vegas was a reminder o...
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#197: Did the Dungeon Master Just Pass the Turing Test? with Hilary Mason from 2022-07-12T04:30:42
Sure. GPT-3 and large language models in general can take a prompt and spin out in any of a million human-sounding directions. That's neat, but maybe not exactly what you'd want to turn loose as...
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#196: Offline Customer Data in a Connected World with Angela Bassa from 2022-06-28T04:30:48
Every consumer is now aware, at some level, that they are constantly generating data simply by moving through the world. And, every organization that puts physica...
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#195: Web3, Web4... Whatever it NFTakes with Anthony Mandelli from 2022-06-14T04:30:26
The Web3 world—blockchain, cryptocurrency, NFTs, and more—seems to be everywhere these days. And, as analysts, how could we not salivate at the idea of a data set that is just one flat, immutabl...
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#194: Can Data Help Optimize the Post-COVID Office? with David Stella from 2022-05-31T04:30:59
The workplace is changing! Even before COVID, the look, feel, and layouts of offices went through various phases: the rise of cubicles in the 1960s (ick!) and then, decades later, the rise of the o...
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#193: The Modern Data Culture Stack with Prukalpa Sankar from 2022-05-17T04:30:01
It's easy to get sucked into the "technology" side of things when it comes to improving the effectiveness and scaling up data teams, but, much to Tim's dismay, shoring up the people, process, and c...
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#192: One Dimension of Data Strategy: Approaching Data Work Strategically with Emilie Schario from 2022-05-03T04:30:50
If you're like most data workers, you probably spend a little bit of time reacting to and servicing data requests, a bit more time on some larger analysis projects, and then you've got a big pile o...
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#191: People Analytics: Data in the Service of Workforce Effectiveness with Andrew Marritt from 2022-04-19T04:30:28
"The people" are often the most valuable asset for a company, so getting the ones who are a good fit, supporting them in their work and their careers, and figuring out what motivates (and demoti...
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#190: I See Your Data Layer and Raise You a Metrics Layer with Benn Stancil from 2022-04-05T04:30:51
"Modern art" was a terrible label because, ya' know, time would pass and here we are 50 years after the end of that period shaking our heads at what a short-sighted semantic gaff that was. We share...
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Announcing Analytics Power Hour… Plus! from 2022-04-01T04:30:09
We are excited to announce APH+, a subscription that includes bonus content and other perks for our most dedicated li...
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#189: The Many Hats of the Chief Data Officer with Mai AlOwaish from 2022-03-22T04:30:17
Can a digital analyst make it to the C-suite? And, if she does, will she wonder, "Oh, dear. WHAT have I gotten myself into?!" The answer to the first question is "Yes!" And our guest for this ep...
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#188: Machiavelli for International Women’s Day with Stacey Vanek Smith from 2022-03-08T05:30:18
What does Machiavelli have to do with International Women's Day? It turns out, if you read his writings through the lens of the challenges that women face in the ...
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(Bonus) Women in Analytics and the DataConnect Conference with Rehgan Avon from 2022-03-01T05:30:41
Remember how we used to have bonus episodes? With International Women’s Day coming up in a week, it seemed like a good time to bring them back. Tim is joined by Listen
#187: K.P.I. - Three Letters at the Root of Analytical Angst from 2022-02-22T05:30:54
How do we measure the performance of this podcast? With well-formulated KPIs, of course! With targets set for them. Since Tim is the taskmaster who insists we revisit our KPIs every year, we decide...
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#186: Where to Work: So Many (Types of) Companies to Choose From! from 2022-02-08T05:30:14
With so many types of companies to work for, and analysts being in high demand, we're at a point where many of us find ourselves in the enviable position of being able to pick which company — an...
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#185: These Are Some (More) of Our Favorite Tips from 2022-01-25T05:30:49
Hey, buddy, we've got a good tip for you: buy low, sell high! If you want a more succinct tip, then we've got one word: plastics! If you would like some ACTUAL tips that you might actually want to ...
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#184: Psychological Safety and Analytics with J.D. Long from 2022-01-11T05:30
Mistakes happen. In healthy work environments, not only is that fact acknowledged, it's recognized as an opportunity to learn. That's something Listen
#183: 2021 Year in Review with Josh Crowhurst from 2021-12-28T05:30:16
We did it! Another year in the books, and 2021 was a bit of a ride. As we do every year, on this episode we reflect a little bit on the podcast and then a lot on the...
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#182: Making Better Decisions and Being Useful with Cassie Kozyrkov from 2021-12-14T05:30:45
Some would say that, given the breadth and depth of data that is available to businesses these days, a surefire path to business value is to load up a department ...
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#181: Qualitative + Quantitative = A Meet Cute for the Ages with Jenni Bruckman from 2021-11-30T05:30:55
It's a podcast episode. That's WHAT it is. But… WHY should you listen to it? Exactly. Or, perhaps, that's exactly WHY! Are you confused? You won't be after checking out our discussion with Jenni...
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#180: Media Mix Modeling - Does It Deserve at Least a Third of Our Love? from 2021-11-16T05:30:15
Hey there, mister. That's a mighty nice multi-touch attribution model you're using there. It would be a shame to see it get mixed up with a media model. Or... would it? What happens if you think...
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#179: Teaching Data Nerds How to Work with... People with James Hayes from 2021-11-02T04:30:58
What does neuroscience have to do with the work of the analyst? It turns out that neuroplasticity is to the modern analyst what plastics were to Benjamin Braddock...
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#178: The Modern Dashboard Dilemma from 2021-10-19T04:30:27
One of our KPIs for the show is to keep the Topic Repeat Rate (TRR) below 1.2%. From carefully monitoring our show dashboard, we had an actionable insight: we could finally revisit episode #002. Co...
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#177: Design Thinking, Empathy, and the Analyst with Hilary Parker from 2021-10-05T04:30:56
What is a system without empathy? What is a show summary without an attempt to overly distill the discussion to the point of sounding like nonsense? On this episode, Hilary Parker (who you may k...
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#176: Analytics on the High Seas: Data at the Helm of an Aircraft Carrier with Capt. Paul Lanzilotta from 2021-09-21T04:30:10
Stop for a minute and think about the highest stakes campaign or test you've ever run. Were you nervous? Now, instead, imagine that you're on an aircraft carrier ...
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#175: Searching to Be a Better Analyst with Wil Reynolds from 2021-09-07T04:30:22
As analysts, it can be easy to get so focused on the data that we lose sight of the imperative that we answer meaningful questions (aka: validating relevant hypot...
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#174: Who Sits Where and Why and How...with the Data? from 2021-08-24T04:30:17
Have you ever worked in a large organization where the data team(s) are perfectly structured to deliver efficient, harmonious, and meaningful results to the business with 'nary a gap nor a redun...
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#173: Finding (Baseball) Diamonds in the Analytical Rough with Ben Lindbergh from 2021-08-10T04:30:24
Have you ever thought, "you know, it would be interesting to take my analytical knowledge and just totally ...
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#172: Data Translator? How About a Data Detective? with Tim Harford from 2021-07-27T04:30:13
Data is everywhere and it's simply not going away. Plenty of people do seem to ignore it to their peril, but if we are trying to make sense of the world, making g...
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#171: We're Back! Plus: "Cassie's Ideas" from 2021-07-13T04:30:54
We're baaaaaaack…! Shorter show name, a rebrand, some minor formatting and structural updates, but still "Moe Kiss with a couple of guys who listeners can't keep str...
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#130 (Rebroadcast): Data Stories with Nancy Duarte from 2021-06-29T04:30
#065 (Rebroadcast): Digital Analytics from a Psychological Perspective with Dr. Liraz Margalit from 2021-06-15T04:30
We can watch (sort of) what users do on our sites. That's web analytics. We can ask them how...
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# 84 (Rebroadcast): Bayesian Statistics and the Digital Analyst with Dr. Elea Feit from 2021-06-01T04:30
Do you model professionally? Would you like to? Or, are you uncertain. These are the topics of this episode: Bayesian...
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#117 (Rebroadcast): What’s in a Job Title? Maybe the Data Shows! with Maryam Jahanshahi from 2021-05-18T04:30
What’s in a job title? that which we call a senior data scientist by any other job title would model as predictively…
This, dear listener, i...
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#126 (Rebroadcast): When the Data Contradicts Conventional Wisdom with Emily Oster from 2021-05-04T04:30
Did you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV...
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#070 (Rebroadcast): The Case for Customer Lifetime Value with Dr. Peter Fader from 2021-04-20T04:30
Is your organization customer-centric? Does your product team dive into the demographics of your customers to figure out what features will make them as happy as possible? If so, then you're doi...
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#088 (Rebroadcast): User Research Meets Analytics with Els Aerts from 2021-04-06T04:30
Thanks for stopping by. Please get comfortable. We’re going to be taking a few notes while you listen, but pay that no mind. Now, what we’d like you to do is listen to the podcast. Oh. And don’t...
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#051: The 1-Person Digital Analytics Team (Rebroadcast) from 2021-03-23T04:30
Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literall...
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#110 (Rebroadcast): Creating Balanced Teams (and Avoiding Groupthink) with Aubrey Blanche&Alison Vorsatz from 2021-03-08T05:30
In recognition of International Women's Day, and because it's a really important topic, this is a very special episode. The two st...
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#161: Preparing for Being an OOO Analyst from 2021-02-23T05:30
As analysts, we often have unique knowledge of the data, specialized responsibilities for data-related deliverables, and an expectation that we'll be at the ready to dive into high priority requ...
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#160: Data Reliability and Observability with Barr Moses from 2021-02-09T05:30
You know that sinking feeling: the automated report went out first thing Monday morning, and your Slack messages have been blowing up ever since because revenue f...
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#159: Is Digital Advertising a Bubble Ready to Burst? with Tim Hwang from 2021-01-26T05:30
As we put the awfulness of 2020 in the rearview mirror, we thought it might be fun to look back to another bleak period: the 2007-2008 financial crisis! Why? Beca...
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#158: The Evolution of Testing&Optimization: Looking Back and Looking Forward with Ton Wesseling from 2021-01-12T05:30
Google bought Urchin in 2005 and, virtually overnight, made digital analytics available to all companies, no matter how large or how small. Optimizely was founded...
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#157: 2020 Year in Review Episode from 2020-12-29T05:30
As unlikely as it seemed at many times throughout the year, 2020 actually IS finally drawing to a close, and that means it's time for our annual look back on the year: what happened with the pod...
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#156: Giving Back to the Community and Solving Talent Challenges with Rob Jackson from 2020-12-15T05:30
It's the holiday season and, despite Tim's 27-slide deck making a case for why we should do an A...
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#155: Attribution Without Cookies with Dr. Joe Sutherland from 2020-12-01T05:30
Cookies are getting aggressively expired or blocked outright. Referring site information is getting stripped. Adoption of Brave as a browser is on the rise! Yet, ...
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#154: Podcast Movie Club: The Social Dilemma from 2020-11-17T05:30
We didn't want to have a discussion about Netflix's The Social Dilemma, but, somehow, we just felt compelled to do so. It was almost like we had ...
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#153: Remote from the Start: Consulting without Headquarters with Laura Stude from 2020-11-03T05:30
Do you know someone who works remotely? Wait. What's that? Oh. It's 2020. I guess a better question would be: do you know any analysts who are NOT working remotely? But, that's not the question ...
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#152: Fostering a Positive Data Culture from 2020-10-20T04:30
What is data culture? And, more importantly, what is the optimal ratio of agar and the ideal temperature of the corporate petri dish to make a data culture thrive? Moe, Michael, and Tim put thei...
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#151: The Rise of the Analytics Engineer with Claire Carroll from 2020-10-06T04:30
Do you long for the days when your mother could ask you, "Now, what do you actually do for your job?" and "all" you had to do was explain websites and digital ana...
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#150: The Curiosity of the Analyst with Dr. Debbie Berebichez from 2020-09-22T04:30
Did curiosity kill the cat? Perhaps. A claim could be made that a LACK of curiosity can (and should!) kill an analyst's career! On this episode, Dr. D...
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#149: Making Statistics Accessible with Chelsea Parlett-Pelleriti from 2020-09-08T04:30
How does a Bayesian tell what time it is? She starts with an estimated time as her prior and then makes a video for TikTok. If you've ever made a joke like that a...
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#148: Forecasting (of the Political Variety) with G. Elliott Morris from 2020-08-25T04:30
Once every four years in the United States, there is this thing called a "presidential election." It's a pretty boring affair, in that there is so much harmony amongst the electorate, and the tw...
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#147: The Podcast Book Club from 2020-08-11T04:30
Do you know someone who always seems to have read the latest books and can cite concepts and ideas and authors and titles in any situation? Do you hate that person? ...
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#146: The Manager/Analyst Relationship from 2020-07-28T04:30
Analytics is hard (so they say... but we're not going to open THAT can of worms). Do you know what's harder? Managing<...
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#145: COVID-19 Analysts, Policy, and Black Swans with Gary Angel from 2020-07-14T04:30
A wise man once said, "All forecasts basically assume that tomorrow is going to be very similar to today, just with an adjustment or two." That wise man was Listen
#144: Landing the Dream Data Job with Ollie Darmon from 2020-06-30T04:30
Remember back when the global economy was booming and analysts were both in the sexiest job of the century and on the favorable side of the supply-demand curve for talent? Those were th...
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#143: These Are a Few (More) of Our Favorite (Analytics) Tips from 2020-06-16T04:30
No one has ever been disappointed by a sequel, right? Especially when the original was well-received both by the critics and at the box office. Well, Episode #134: "These Are a Few of Our Favori...
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#142: Analytics Tribe of Mentors with Jen Yacenda from 2020-06-02T04:30
A hallmark of the analytics community is the generosity with which ideas and wisdom are shared. One of the largest analytics conferences each year is Adobe Summit. One of the most followed Tims ...
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#141: The State of Martech, Analytically Speaking, with David Raab from 2020-05-19T04:30
It sometimes seems like there must be a Moore's Law of marketing technology (or "martech," as the cool kids call it, and our site is on a .io domain, so we’re definitely the cool kids) whereby t...
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#140: The Analyst as Cartographer: Customer Journey Mapping with Monica Weiler from 2020-05-05T04:30
The promise of digital—and the steady shift of consumers' interactions with brands to that medium over the course of the past two decades—is that we can now see s...
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#139: Workshops: When the Best Analysis Is Actually Human Collaboration with Jody Weir from 2020-04-21T04:30
Sometimes, the best way to get alignment, generate new ideas, hash out different perspectives, or just effectively collaborate is to shift a gathering of peers from being a "meeting run by the o...
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#138: Pants-Optional Spreadsheeting: When the Analyst Works Remotely from 2020-04-07T04:30
These are interesting times in which we work, are they not? For many analysts, "remote work" is what they call "every weekday" or, for those who don't have things fully figured out, "every day t...
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#137 - Data Science + Words: An NLP Meet Cute for Analysts with Dr. Joe Sutherland from 2020-03-24T04:30
Did you know that there were monks in the 1400s doing text-based sentiment analysis? Can you name the 2016 movie that starred Amy Adams as a linguist? Have you ev...
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#136: An Analyst and a CRO Walk Into a Podcast with Michele Kiss and Valerie Kroll from 2020-03-08T05:30
For our special International Women's Day episode, we committed a type one error and peeked at our results, so we are releasing this winner three days early. As good analysts, we set ...
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#135: Superweek 2020 – the Last Mile of Analytics from 2020-02-25T05:30
Have you heard the one about the four analysts who run a podcast who walked into a resort in Hungary? Well, now you can! Or, at least get a taste of that experience. Michael, Moe, Tim, and Josh ...
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#134: These Are a Few of Our Favorite (Analytics) Tips from 2020-02-11T05:30
"QA and patience and reviews by a peer. Data viz testing, hold no chart too dear. Don’t be an asshole; automate 'til it stings. These are a few of our favorite thi...
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#133: Server-Side vs. Client-Side Tracking with Mike Robins from 2020-01-28T05:30
Once upon a time, website behavioral data was extracted from the log files of web servers. That data was messy to work with and missing some information that analysts really wanted. This was the...
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#132: Reporting vs. Analysis from 2020-01-14T05:30
Who would have thought that we'd get to 2020 and still be debating whether recurring reports should include "insights?" As it turns out, Tim did an ad hoc analysis back in 2015 where he predicte...
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#131: 2019 Year in Review from 2019-12-31T05:30
It's the end of the year, and we know it, and we feel fiiiiine. Or, maybe we have a little anxiety. But, for the fifth year in a row, we're wrapping up the year with a reflective episode: reflec...
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#130: Data Stories with Nancy Duarte from 2019-12-17T05:30
Once upon a time, there was an analyst. And that analyst had some data. She used that data to do some analysis, and from that analysis she realized she had some recommendations she could make to...
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#129: Data Accuracy and Completeness with Yali Sassoon from 2019-12-03T05:30
How accurate is your data? How accurate is any of our data? If our data is more accurate, will we make better decisions? How MUCH better? Why do the show blurbs o...
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#128: Neuroscience, the Customer Experience, and the Data Therein with Diana Lucaci from 2019-11-19T05:30
READ ME!!! LISTEN!!! DO YOU KNOW WHY THIS IS IN ALL CAPS?! IS IT RAISING YOUR HEART RATE?! IS IT MAKING YOU A LITTLE IRRITATED?! IT MIGHT BE! IF IT IS, WE COULD MEAS...
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#127: Is Multi-Touch Marketing Attribution Dead? Should It Be? With Priscilla Cheung from 2019-11-05T05:30
Multi-touch attribution is like fat free cheese: it sounds like a great idea, it seems like technology would have made it amazing and delicious by now, and, yet, ...
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#126: When the Data Contradicts Conventional Wisdom with Emily Oster from 2019-10-22T04:30
Did you hear the one about the Harvard-educated economist who embraced her inner wiring as a lateral thinker to explore topics ranging from HIV/AIDS in Africa to ...
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#125: Modern Browsers and the Destruction of the Analyst's Dreams with Cory Underwood from 2019-10-08T04:30
Are you down with ITP? What...
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#124: Image-ine What the Analyst Can Do Using Machine Vision with Ali Vanderveld from 2019-09-24T04:30
Have you ever noticed that 68.2% of the people who explain machine learning use a "this picture is a cat" example, and another 24.3% use "this picture is a dog?" Is there really a place for mach...
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#123: Ad Fraud with Augustine Fou from 2019-09-10T04:30
What percentage of digital ad impressions and clicks do you think is actually the work of non-human bots? Pick a number. Now double it. Double it again. You’re ge...
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#122: Dealing with Disparate Stakeholders with Astrid Illum from 2019-08-27T04:30
It’s 1:00 AM, and you can’t sleep. The paid search manager needs to know whether brand keywords can be turned off without impacting revenue. The product team needs the latest A/B test results an...
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#121: Onboarding the Analyst from 2019-08-13T04:30
Somewhere between "welcome to the company, now get to work!" and weeks of tedious orientation sessions (that, presumably, include a few hours with the legal department explaining that, should yo...
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#120: Causal Inference with Bradley Fay from 2019-07-30T04:30
Listen. Really. That's what you can do. You can listen to this episode and find out what you learn. Or you can NOT listen to the show and NOT find out what you learn. You can't do both, which me...
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#119: What Grinds Our Gears - MAS 2019 from 2019-07-16T04:30
Have you ever thought it would be a great idea to have a drink or two, grab a microphone, and then air your grievances in a public forum? Well, we did! This episo...
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#118: Ethics in AI with Finn Lattimore from 2019-07-02T04:30
Did you hear the one about how the AI eliminated cancer? It just wiped out the human race! As machine learning and artificial intelligence are woven more and more into the fabric of our daily li...
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#117: What's in a Job Title? Maybe the Data Shows! from 2019-06-18T05:00:49
What's in a job title? That which we call a senior data scientist by any other job title would model as predictively...
This, dear listener, is why the hosts of this podcast cru...
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#116: Analytics Education at Scale with Justin Cutroni from Google from 2019-06-04T04:30
Remember that time you ran a lunch-and-learn at your company to show a handful of co-workers some Excel tips? What would have happened if you actually needed to fully train them on Exce...
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#115: Build vs. Buy with June Dershewitz from Twitch from 2019-05-21T04:30
A simple recipe for a delicious analytics platform: combine 3 cups of data schema with a pinch of JavaScript in a large pot of cloud storage. Bake in the deployment ...
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#114: ITP 2.0? 2.1? Whatever it takes! from 2019-05-07T04:30
We're not sure what's going on with this episode. For some reason, we have a bunch of first-time listeners, and they're all from Apple devices! Maybe it's because the show only comes out every t...
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#113: Getting the Most Out of Conferences from 2019-04-23T04:30
Have you ever attended a conference? Did you know that analysts over-index towards introversion?* Have you ever struggled to figure out how to start a conversation over a cold pastry and a cup o...
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#112: Demystifying Data Science with Ian Thomas from 2019-04-09T04:30
Are you a data scientist? I mean, are you really a data scientist? What does that even mean...other than a healthy salary increase? On this episode of the show, Listen
#111: Automation in Analytics with Erik Driessen from 2019-03-26T04:30
We thought we deserved a break from the podcast, so we went looking for some AI to take over the episode. Amazon Polly wasn't quite up to the task, u...
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#110: Creating Balanced Teams (and Avoiding Groupthink) from 2019-03-07T19:00
In recognition of International Women's Day, and because it's a really important topic, this is a very special episode. The two st...
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#109: RAD Podcast Analytics with Stacey Goers from NPR from 2019-02-26T05:30
Do you know something that is really simple? Really Simple Syndication (aka, RSS). Did you know that RSS is the backbone of podcast delivery? Well, aren't you clever! What's NOT really simple is...
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#108: Smart Speaker Measurement with Steve Mulder from NPR from 2019-02-12T05:30
"Hey, Google! How do you measure yourself?" "I'm sorry. I can't answer that question. Would you like to listen to a podcast that can?" National Public Radio has long been on the forefront of the...
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#107: Bringing Data Science to the Enterprise with Dr. Katie Sasso from 2019-01-29T05:30
What does it really take to bring data science into the enterprise? Or... what does it take to bring it into your part of the enterprise? In this episode, the gang sits down wi...
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#106: SQL and the Digital Analyst with Pawel Kapuscinski from 2019-01-15T05:30
WHERE were you the first time you listened to this podcast? Did you feel like you were JOINing a SELECT GROUP BY doing so? Can you COUNT the times you've thought to yourself, "Wow. These guys ar...
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2018 Year in Review! from 2019-01-01T05:30
Happy New Year! Sure. The ball has dropped in Times Square, and a new year means an opportunity to look forward. But, we wanted to take a quick look back first --...
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#104: Getting the Data Collection Right with Adam Greco from 2018-12-18T05:30
Have you ever had stakeholders complain that they're not getting the glorious insights they expect from your analytics program? Have you ever had to deliver the news that the specific data they'...
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#103: Customer Data Platforms Revisited with Todd Belcher from CDP Resource from 2018-12-04T05:30
What's the hot new technology of 2018? AI? Deep Learning? Listen
#102: Data and Disasters (of the Natural Kind) from 2018-11-20T05:30
Perspective is a good thing. We've all agonized about a misreported metric or an unsatisfying entry page analysis and had to remind ourselves that we're not exactly saving lives with our work. O...
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#101: Diving into Data Lakes with Rohan Dhupelia from Atlassian from 2018-11-06T05:30
Remember when you used to keep all of your data packed into data boxes and stacked up on a bunch of data shelves in your state-of-the-art data warehouse? Well, it might be time to fire up the da...
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#100 - Listener Questions Answered! from 2018-10-23T04:30
To think, it was barely-considered subtle humor that we used two trailing zeros in episode #001. But, despite our best efforts to destroy our reputations or our livers long before we ce...
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#099: How Technical Should the Analyst Be? With Simo Ahava! from 2018-10-09T04:30
Are you deeply knowledgable in JavaScript, R, the DOM, Python, AWS, jQuery, Google Cloud Platform, and SQL? Good for you! If you're not, should you be? What does "technical" mean, anywa...
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#098: Successfully Managing the Analyst from 2018-09-25T04:30
As the axiom goes: people don’t leave companies; they leave their managers. And, good analysts are constantly being approached with new opportunities. So, what’s the secret formula for hanging o...
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#097: Spotting and Assessing Analytics Talent with Simon Rumble from 2018-09-11T04:30
Tell me about a time you produced an amazing analysis. Please provide your response in the form of a Jupyter notebook that uses Python or R (or both!) to pull words from a corpus that contains a...
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#096: Analyzing Online Learning Options for the Analyst with Lizzie Allen-Klein from 2018-08-28T04:30
Mama always said: life is like a box of chocolates, and online learning is sometimes like on...
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(Bonus) 1:1 with Jodi Daniels: GDPR and CCPA (Privacy!) Updates from 2018-08-21T04:30
For this mini-episode, Tim sits down (virtually) with Episode #077 guest Listen
#095: The Rise of BI with Taylor Udell from 2018-08-14T04:30
Business Intelligence. It’s a term that’s been around for a few decades, but that is every bit as difficult to nail down as “data science,” “big data,” or a jellyfish. Think too hard about it, a...
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#094: Scaling a Culture of Experimentation with Andrea Burbank from Pinterest from 2018-07-31T04:30
The company: "Hey, you. That's a mighty nice test you've run. We should be doing that a lot more of those." You: "Um...okay. But, I'm only one person." In this episode, the gang chats with Listen
#093: The Proclivities and Personal Perspectives of the Analyst from 2018-07-17T04:30
Humans are creatures of habit. And analysts — those of us who haven’t been so drawn into the world of artificial intelligence that we have become cyborgs, at least — are humans. In this episode,...
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#092: A Special Report - Data Journalism Meets Business Analytics with Walt Hickey from 2018-07-03T04:30
Once upon a time, there was some data. And that data cried out to be extracted and analyzed and packaged up like the most exquisite of gifts and then presented gloriously to an eager and excited...
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#091: Data Literacy and (at!) MEE! from 2018-06-19T04:30
Are you reading this? If so, then you are literate. But, are you (and are your stakeholders) data literate? What does that even mean? On this episode -- recorded in front of a live audi...
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(Bonus) 1:1 with Michele Kiss: Finding Time to Learn Stuff (like BigQuery) from 2018-06-13T00:16:03
Under the 'guise of a discussion about making the leap into a new technology, this bonus mini-episode (hopefully) clears up the on-going confusion about the Kiss Sisters. Moe sat down with her b...
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#090: A New Paradigm for Privacy with Sergio Maldonado from 2018-06-05T04:30
Put this in your pipe and smoke it: all of the tracking we try to do of people is actually technology designed to track content. And, even that tracking of content was a hacked...
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#089: Bringing Statistics to Digital Analytics Data with Matt Policastro from 2018-05-22T04:30
Regression. Correlation. Normality. t-tests. Falsities of both the positive and negative varieties. How do these terms and techniques play nicely with digital analytics data? Are they t...
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#088: User Research Meets Analytics with Els Aerts from 2018-05-08T04:30
Thanks for stopping by. Please get comfortable. We're going to be taking a few notes while you listen, but pay that no mind. Now, what we'd like you to do is listen to the podcast. Oh. And don't...
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(Bonus) 1:1 with Chad Sanderson: The Pitfalls of A/B Testing from 2018-05-01T04:30
Bayesian vs. Frequentist. False Positive vs. False Negative. Truth vs. Uncertainty. It's the world of A/B testing! In this bonus mini-episode, Moe sat down with Listen
#087: Offline Data in an Online World with James Fogelberg from 2018-04-24T04:30
If you have a smartphone nearby and you are not wearing a foil hat, chances are that some brand somewhere -- and probably several brands in many places -- know where you are. Is that creepy? May...
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#086: Avoiding Analytics Rabbit Holes from 2018-04-10T04:30
Have you ever walked out of a meeting with a clear idea of the analysis that you're going to conduct, only to find yourself three days later staring at an endless ocean of crunched data and wond...
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(Bonus) 1:1 with Krista Seiden: Growth Marketing from 2018-04-03T04:30
That's right. We're trying to grow the reach of this podcast, so we figured we needed to do some growth h---...NO! No. No. NO!!! We're NOT going to use that term. But, it turns out that growth m...
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(Bonus) Hot Takes from Adobe Summit 2018 with Michael and Tim from 2018-03-30T00:08:27
Michael, Tim, and 12,998 of their closest friends descended on Las Vegas for Adobe Summit the last week of March. With ...
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#085: Moving Beyond Microsoft Excel from 2018-03-27T04:30
Some people (possibly even one of the co-hosts of this podcast...on this very episode) have been known to say, "People have this dependency on Excel, which is freakin' weird!" We know it wasn't ...
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#084: Bayesian Statistics and the Digital Analyst with Dr. Elea Feit from 2018-03-13T04:30
Do you model professionally? Would you like to? Or, are you uncertain. These are the topics of this episode: Bayesian statistician (among other official roles that are ...
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(Bonus) 1:1 with Aurélie Pols: Privacy and GDPR from 2018-03-06T05:30
Moe sat down for a chat with privacy and GDPR expert Aurélie Pols to dive in to some of the questio...
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#083: KPIs in the Absence of a Clear Conversion with Amy Sample from 2018-02-27T05:30
Raise your hand if you work for a company that sells exclusively low-consideration products and only sells them online. Anyone? Anyone? We only see a couple of hands out there. For al...
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#082: Superweek 2018 - GDPR, Machine Learning, and Tim's Hair from 2018-02-13T05:30
For the second year in a row for the podcast -- but the first appearance since Moe joined the crew -- we headed to the Listen
(Bonus) 1:1 with Lee Isensee: The Measure Slack Team from 2018-02-06T05:30
In this, our initial bonus audio, Tim sits down with Lee Isensee, creator and curator of the Listen
#081: The Career Growth Conundrum: Lead People or Crunch Data? from 2018-01-30T05:30
You love analytics. Great. You even love your job (hopefully)! But, you're thinking about the future, and it looks like there is a fork in the road. Should you take the path that leads you down ...
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#080: Making Sh** Happen with Evan LaPointe from 2018-01-16T05:30
Do you ever feel like you've got the analytics blues because you see what needs to happen, and it's something innovative, and all the signals say it's the right thing to do... but the r...
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#079: When the Stakeholder Just. Doesn't. Get It! with Rusty Rahmer from 2018-01-02T05:30
Happy new year! Nothing says a new year like a new year's resolution. And, what's a better professional resolution than to work with stakeholders more effectively? Unfortunately, we've all come ...
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#078: 2017 - The Year in Review from 2017-12-19T05:30
2017 was a big year for both the digital analytics industry and for the Digital Analytics Power Hour. Join us, won't you, as we (figuratively!) gaze upon our navels? From the traction the #women...
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#077: Lions and GDPR and Bears, Oh My! with Jodi Daniels from 2017-12-05T05:30
Are you a data subject? If you're a person, then you better believe you are! And, so is every person who visits your website. And, if you are in the EU, or you have visitors from the EU...
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#076: Insights, Please. Actionable Ones! from 2017-11-21T05:30
When you find a true insight, it can make your head spin. But, will your head spin in a different direction if the insight is found in Australia than if it is found in the United States? On this...
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#075: Corralling the Cross-Device Visitor from 2017-11-07T05:30
It's a challenge as old as the smartphone (or...technically... a little bit older): we want to track and know people, but, when they're visiting us from their phone, their tablet, their...
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#074: The Google Cloud Platform with Mark Edmondson from 2017-10-24T04:30
You’re listening to this podcast, so you’re, obviously, well-attuned to the cutting edge of all things digital. But, in this episode, we’re going to discuss a couple (or countless) products/plat...
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#073: When the Analyst Goes Independent with Adam Ribaudo from 2017-10-10T04:30
Do you have a spare shingle lying around? Have you been thinking about painting, "Analyst for Hire - Will Work for Cookies" on it and hanging it up on your front door? It seems like a lot of ana...
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#072: The Future Digital Analyst Redux with Corry Prohens from 2017-09-26T04:30
Have you learned R yet? No? Well, then Tim is disappointed in you. Or, maybe that's totally okay! Way back on Listen
#071: Reinforcement Learning with Matt Gershoff from 2017-09-12T04:30
Let's pretend your goal as an analyst is to eloquently and accurately explain reinforcement learning. Now, let's pretend that you get to try that explanation again and again, and we'll give you ...
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#70: The Case for Customer Lifetime Value with Dr. Peter Fader from 2017-08-29T04:30
Is your organization customer-centric? Does your product team dive into the demographics of your customers to figure out what features will make them as happy as possible? If so, then you're doi...
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#069: The Bias of the Analyst from 2017-08-15T04:30
Are you biased? Either you answered, “Yes,” or you’re in denial. Or you’re an AI, in which case you should just go and start your own podcast instead of listening to this one. UNLESS ...
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#068 - Engaging with Your Local Analytics Community from 2017-08-01T04:30
The conceit of this podcast is having real analysts hang out with each other -- enjoying each other's company and talking a little shop. But, for you, dear listener, that hanging out is occurrin...
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#067 - R You Considering Python? (With Ryan Praskievicz) from 2017-07-18T04:30
WHY does Tim simply not give Python its due? Isn't Python a perfectly acceptable -- possibly even better -- option when it comes to diving into programming with data? It's open source, too. Some...
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#066: The Democratization of the Data from 2017-07-04T04:30
It's another one of those on-going lobby bar topics: how much of the data should be made available to whom and in what form? Should all of an organization's data be completely and freely availab...
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#065 - Digital Analytics from a Psychological Perspective with Dr. Liraz Margalit from 2017-06-20T04:30
We can watch (sort of) what users do on our sites. That's web analytics. We can ask them how they felt about the experience. That's voice of the customer. But, can we (and should we?) actually a...
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#064: Analog (In-Store) Analytics with Gary Angel from 2017-06-06T04:30
Back in the day, we explained the difference between a visitor, a visit, and a pageview to stakeholders using an analogy of a person walking into a physical store. Now, digital channels are domi...
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#063: The Trials and Tribulations of Tool Transitions from 2017-05-23T04:30
Change. It's scary. It's exhilarating. It's a song by Churchill. Sometimes, be it due to you...
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#062: When and Where Does the Role of the Analyst End? from 2017-05-09T04:30
It seems like a simple couple of questions: 1) When and where does the analyst’s role start?, and 2) When and where does the analyst’s role end? And, do the answers to either of these...
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#061: Selling the Value of Analytics with Sayf Sharif from 2017-04-25T04:30
"Psssst! Hey! Buddy! Want some analytics? Whatcha' lookin’'for? Insights? Recommendations? Maybe some implementation? I got anything you want, and I got it at a great price!…" Sound familiar? No...
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#060: The People and Personality Side of Analytics from 2017-04-11T04:30
Do you want to know something about analysts? They're people. And, not only are they people, but they work with people. And people have personalities. Even the hosts of this podcast have persona...
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#059: Display Ads and Ad Fraud with John Nardone from 2017-03-28T04:30
Well into our third year of the show, we decided it was time to show that we've become hard-hitting audio journalists by bringing on a heavy-hitter in the world of display media and grilling him...
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#058: Analytics in an Agile Organization with Simo Ahava from 2017-03-14T04:30
FINALLY! It's a show all about Google Tag Manager! Oh. Wait. What's that? We had Simo Ahava on the show and actually covered a differ...
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#057: Open Data with Brett Hurt and Jon Loyens from 2017-02-28T05:30
So, knowledge management and data manag...
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#056: Live from Superweek! from 2017-02-14T05:30
Have you ever been to a really great analytics conference and had just one great conversation after another with other attendees? We have! And, for this episode, we decided to head up into the h...
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#055: Systems Thinking with Christopher Berry from 2017-01-31T05:30
The world is an oyster. It's also a system. A complex system! Companies are components in that system, and they're systems unto themselves! And marketing departments, and digital marketing, and ...
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#054: Pop Analytics with Kevin Hillstrom from 2017-01-17T05:30
Pop psychology is fun, if not that useful. Pop analytics can be dangerous! What IS pop analytics? It's a term coined (as far as we can tell) by analytics legend Kevin Hillstrom, and we managed t...
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#053: Customer Data Platforms with Todd Belcher from 2017-01-03T05:30
Do you care about acquiring customers? Do you care about data? Do you like wearing shoes that have soles that are 2-3″ thick? Put those three things together and it means you care — or should ca...
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#052: The Year in Review - 2016 from 2016-12-20T05:30
2016 is almost in the books! In just over a week, we'll be ringing in the new year, and we have it on Very Good Authority that 2017 will be the Year of Mobile. But, this episode is as much about...
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#051: The 1-Person Digital Analytics Team with Moe Kiss from 2016-12-06T05:30
Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literall...
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#050: Internal Analytics Organizational Structures from 2016-11-22T05:30
Step right up! Step right up! We've got your org charts here! If an analyst falls in the woods, and she reports into a hub-and-spoke model, is the result best illustrated with a 3D pie chart? Jo...
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#049: The Future of Tag Management from 2016-11-08T10:55:08
If you're in the U.S., happy election day! In the spirit of the mayhem and controversy that the political process brings, we're tackling a topic that is every bit as controversial: tag managemen...
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#048: Social Media Analytics with Hayes Davis from 2016-10-25T10:00
You know what season it is? Well, in the United States, we're closing out a 4-year, never-ending cycle of electing a president. The tweets are getting tweeted and retweeted, the Facebook posts a...
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#047: Assessing Analytics Job Descriptions from 2016-10-11T04:30
Have you ever read an analytics job description? Have you found yourself wondering, "Is it just me, or is there something fishy going on here?" Who better to verbally cogitate this question writ...
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#046: Measuring Podcasts at NPR with Steve Mulder from 2016-09-27T04:30
Do you listen to podcasts? Well, of course you do! Are you working in or involved with analytics? If you listen to this podcast, you almost certainly are! Where do those two interests intersect?...
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#045: Identifying and Prioritizing Hypotheses from 2016-09-13T04:30
The intro bumper for this podcast says "the occasional guest," and, yet, the last five episodes have had guests. That's hardly "occasional," so Tim and Michael had a choice: either change the in...
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#044: Artificial Intelligence with Dennis Mortensen from 2016-08-30T04:30
The machines are coming! The machines are coming! Artifiicial Intelligence is here. But what is it, and how long will we have to wait for the technology to completely take over all analysis work...
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#043: Open Source Analytics with Simon Rumble from 2016-08-16T08:50:23
Somebody wants to overthink their analytics tools? Tell 'em their dreamin'! We wanted to talk about open source and event analytics and Snowplow sits right at that intersection. Our guest Simon ...
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#042: Data Storytelling with Brent Dykes from 2016-08-02T04:30
Once upon a time, in an industry near and dear, lived an analyst. And that analyst needed to present the results of her analysis to a big, scary, business user. This is not a tale for the faint ...
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#041: The Productization of Customer Intelligence with Blair Reeves from 2016-07-19T04:30
What IS customer intelligence? What is a customer? Is the customer best understood by breaking the word down into its component parts: "cuss" and "tumor?" Would that be an intelligent thing to d...
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#040: Google BigQuery with Michael Healy from 2016-07-05T04:30
In this episode, we dive deep on a 1988 classic: Tom Hanks, under the direction of Penny Marshall, was a 12-year-old in a 30-year-old's body... Actually, that's a different "Big" from what we ac...
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#039: In Defense of Excel from 2016-06-21T04:30
As Dr. Phil says, "Never put more into a relationship than you can afford to lose." Not sure what that has to do with Excel but it sounds vaguely wise, which is the whole point. Tim and Michael ...
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#038: To Outsource or Not Outsource -- That Is the Question from 2016-06-07T04:30
To outsource or not to outsource -- that is the question:
Whether 'tis more efficient to tap
The skills and talents of those who bill by the hour,
Or to bring resources inside ...
#037: Growing Your Career without Changing Companies from 2016-05-24T04:30
If you're like most analysts, you've probably changed jobs since the last episode of this podcast hit your earbuds two weeks ago. Or, if you haven't actually changed jobs, then you've at least b...
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#036: Attribution Revisited with Jim Novo from 2016-05-10T04:30
Back by popular demand: attribution! This time, we brought in an adult on the subject: Jim Novo of The Drilling Down Project. A lot of questions get tackled in this episode: Should "gut feel" ev...
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#035: Is Data Science the Future of Web Analytics? from 2016-04-26T04:30
Are you a data scientist? Have you pondered whether you're really a growth hacker? Well...get over yourself! Picking up on a debate that started onstage at eMetrics, Michael, Jim, and Tim discus...
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#034: Live from eMetrics...it's the Digital Analytics Power Hour! from 2016-04-12T04:30
I know what you're thinking: they're world-class podcasters when they hide behind editing tools and autotune, but can they do it LIVE? This special recording from the final keynote spot at Listen
#033: Winning with Analytics from 2016-03-29T04:30
You know what it's time we do? It's time we make analytics great again. How can we do that? With three guys who know about winning. Maybe not winning with real estate. Or with steaks. But winnin...
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#032: Questions and Answers with Tom Miller from 2016-03-15T04:30
What is life but a series of questions? Does that question even make any sense? We'll never know, as this wasn't a question that got asked on this episode. Instead, Listen
#031: Personalization: The OTHER Faustian Bargain from 2016-03-01T05:30
We've got the technology. We've got the behavioral data. We've got the content (or at least tell ourselves we do). We're all set to develop personalized experiences that knock consumers socks of...
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#030: 2016 Predictions for Digital Analytics from 2016-02-16T05:30
As an analyst, it's never a good idea to make predictions without data. With that said, for our first predictions episode, we've chosen to make some big and small predictions for the digital ana...
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#029: (Reflections on) The History of Digital Analytics with Jim Sterne from 2016-02-02T05:30
Philosopher, poet, and essayist George Santayana wrote, "Those who cannot remember the past are condemned to repeat it." We thought we'd have him on to reflect about the history of digital analy...
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#028 Attribution! from 2016-01-19T05:30
Attribution is like a box of chocolates. It can be really expensive, or it can be really cheap. It requires making a lot of decisions as to how you actually want to consume it. It may leave you ...
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#027: Digital Transformation with Gary Angel from 2016-01-05T05:30
What better time to ask Big Questions about analytics than the start of a new year? In this episode, Gary Ange...
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#026: The Power Hour Year in Review from 2015-12-22T05:30
One year of shows. It was our initial Big Hairy Audacious Goal, and we did it. We hoped you had as much fun this year listening as we did recording, and we'd like to take a chance to reflect. Di...
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#025: A/B Testing with Kelly Wortham from EY from 2015-12-08T05:30
We had a hypothesis that our listeners might be interested in hearing an expert on digital optimization. In this episode we test that hypothesis. Listen and learn as Listen
#024: Women in Digital Analytics with Krista Seiden from 2015-11-24T05:30
Have you noticed that neither Michael, Jim, nor Tim are women? They did! But that didn't stop them from taking on the subject of women in digital analytics (with diversions into the subjects of ...
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#023: A European View of Analytics with Matthias Bettag from 2015-11-10T05:30
From a sophisticated analysis of the names and timestamps of many of our commenters, we discovered something that surprised us: digital analytics is a profession that is practiced outside of Nor...
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#022: Wearables, Measurement, and Monetization, Oh My! with David McBride from 2015-10-27T04:00
It's hard enough keeping up with the times when digital analytics is exclusively Desktop/Mobile/Tablet devices. Now, what if we had to work with data that came from everything? Join us this epis...
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#021: Analytics in Sports with Ben Gaines from 2015-10-13T04:30
In this episode, we've simulated a lobby bar at the end of Adobe Summit, with Ben Gaines dropping by a...
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#020: Can Data Curtail Culture and Creativity? A Corporate Conundrum! from 2015-09-29T04:30
Sometimes...well...MOST times...a lobby bar conversation starts on one topic and ends up somewhere ent...
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#019: R U Curious About R? from 2015-09-15T04:30
In honor of Talk Like a Pirate Day (and by popular demand), we donned our eyepatches, poured ourselves...
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#018: Analytics Advice for the Recent Grad from 2015-09-01T04:30
Have you been listening to the three of us and thinking "Man, if those guys can be digital analysts, A...
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#017: Data Visualization and Communication with Lea Pica from 2015-08-18T04:30
They say a picture is worth a thousand terabytes of data (probably). If you are a regular listener of ...
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#016: Digital Analytics Without a Clear Online Conversion from 2015-08-04T04:30
It's a nasty rumor, but we heard that there are a couple of domains out there on the interwebs that ar...
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#015: Digital Analyst Skills vs Talents from 2015-07-21T04:30
Scads has been written about the distinction between skills and talents. But, how does that distinctio...
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#014: Mobile Measurement with Lee Isensee from 2015-07-07T04:30
It's not only the year of mobile...AGAIN, but it's the year of mobile measurement! While our intrepid ...
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#013: Musings on the Measurement of Display Media from 2015-06-23T04:30
Can the media analyst and the web analyst get along? Can the chasm between clicks and visits every be ...
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#012: The Governance of the Data from 2015-06-09T04:30
Most people find the concept of governance about as interesting as an afternoon of quality control wor...
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#011: These Are a Few of Our Favorite Insights from 2015-05-26T04:30
Sure I like your theory guys, but I want to hear some stories from the trenches! Episode 11 is all abo...
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#010: Reviewing the Latest CMOsurvey.org Survey Results from 2015-05-12T04:30
Want to hear Jim Cain wing it for 40 minutes as he discusses a survey he never read? Interested in hea...
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#009: Working with Business Stakeholders from 2015-04-28T04:30
If a report falls in the forest, and no one is there to read it, will it still lead to business improv...
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#008: Building an Analytics Team from 2015-04-14T04:30
Building your chops as an analyst is hard enough. Building an analyst team is even harder. In this epi...
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#007: How Can Analysts Effectively Build Out Their Technical Chops? from 2015-03-31T04:30
Digital analysts crunch numbers, sure. But, in order to crunch those numbers in a meaningful way, they...
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#006: What Is the Space for Tools that Aren't Google Analytics or Adobe Analytics from 2015-03-17T04:30
Fifteen years ago, digital analytics tooling was pretty straightforward (something that looks at log f...
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#005: Big Data -- What an Executive Needs to Know from 2015-03-03T05:30
The power of big data is a curious thing, Make a one man weep, make another man sing. Change a hawk to...
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#004: As an Analyst, When Is It Time to Move On? from 2015-02-17T05:30
What’s good at math and has more suitors than Taylor Swift? A digital analyst. There’s an unprecedente...
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#003: Taming the Digital Analytics Technology Stack from 2015-02-03T05:30
To win at digital measurement in 2015, you need more data capture tools than just your web analytics t...
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#002: What is a Dashboard? from 2015-01-20T05:30
Episode 002 finds Michael, Tim and Jim tackling one of the most important, powerful and sometimes frus...
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#001: Becoming a Better Digital Analyst from 2015-01-03T04:04:56
In this inaugural episode of the Digital Analytics Power Hour, Michael, Jim, and Tim discuss how a digital analyst working today can become better at what he or she does. Tending bar? Cold calli...
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