“Leo Breiman was still a statistician, and while he critiques parts of his profession he’s not … Statistics Denial Myths #13-14, Minimizing The ProfessionRead more
Author: Randy Bartlett
Randy Bartlett, Ph.D. CAP® PSTAT® is a statistician/statistical data scientist with 20+ years of practice experience analyzing and reviewing data analysis; and leading business analytics teams. He is currently a Business Analytics Leader at Blue Sigma Analytics. He provides services for everything from strategic consulting for business analytics to data analysis and data management. His services are reflected by his book, workshops, and presentations.
He designed 'A Practitioner’s Guide to Business Analytics' (McGraw-Hill, 2013) (https://tinyurl.com/jx8rcru) to be the foremost reference on how corporations can better implement business analytics and in this era of Big Data and the Internet of Things. He discusses strategic topics, including culture, organization, planning, and leadership for business analytics, in Chapters 1-6 and in Day I of his workshop. For tactics, he discusses Statistical Qualifications, Diagnostics, and Review; and Data Collection, Software, and Management in Chapters 7-12 and during Day II of his workshop. He previously contributed to the Encyclopedia for Research Design and writes blogs (including a series on Statistical Denial), case studies (AIG, AstraZeneca, big pharma, Google Flu Trends, et al.), and articles (two in Analytics Magazine).
Specialties: Leading quants; addressing Big Data; making and supporting analytics-based decisions; performing statistical review; evaluating datasets and software needs;and re-organizing analytics teams.
Blog 12: Statistics Denial Myth #12, Publications Straw Man
Von Moltke the Elder said, “No plan of battle survives the first contact with the enemy.” … Blog 12: Statistics Denial Myth #12, Publications Straw ManRead more
Debunking the Myth that None of Statistics Works for Big Data
‘Over the last half-century, statistical analysis has been adopted by every single scientific discipline, from archaeology to … Debunking the Myth that None of Statistics Works for Big DataRead more
3 Statistics Denial Myths on the Volume of Big Data
“Raw data is a viscous fluid containing information“ Myth #7: Big Data Volume (Or Large N) … 3 Statistics Denial Myths on the Volume of Big DataRead more
Why Statistical Significance Does Work For Big Data
“The key element for a successful (big) data analytics and data science future is statistical rigor and … Why Statistical Significance Does Work For Big DataRead more