2207: Xactly - Demystifying Statistical Analysis and Forecasting Technology - a podcast by Neil C. Hughes

Jeffrey Partyka, Principal Data Science Engineer at Xactly, joins me on Tech Talks Daily in a discussion about the rise of data scientists and their value for companies. Jeffrey shares how forecasting models work, the importance of statistical analysis, and how wider teams can utilize data to create better business products. He discusses how this role has evolved and is better institutionalized in recent years.

We also explore Xactly's survey report - Insights on The Sales Talent Crisis of more than 400 U.S. sales leaders, and the lessons learned from the great resignation.

Jeffrey Partyka has been a principal data science engineer at Xactly since July 2020, actively conducting and overseeing numerous machine learning/statistical projects relating to sales forecasting, churn, cross-selling, and other sales areas. Jeff has worked in data science since 2007 as a Big Data engineer, data science team lead, research & development manager, and part-time professor across multiple domains, including geospatial indexing, psychometrics, productivity optimization, and sales performance management.

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