Thomas W. Dinsmore

Disruptive Analytics (eBook, PDF)

Charting Your Strategy for Next-Generation Business Analytics

• Format: PDF

Produktdetails

• Verlag: Apress
• Seitenzahl: 262
• Erscheinungstermin: 27. August 2016
• Englisch
• ISBN-13: 9781484213117
• Artikelnr.: 46923020

Autorenporträt

Thomas W. Dinsmore is Knowledge Expert in Customer Analytics at The Boston Consulting Group. He previously served as Director of Product Management for Revolution Analytics; Analytics Solution Architect for IBM Big Data Solutions; and Principal Consultant for SAS Professional Services. Dinsmore has more than twenty-five years of experience in predictive analytics. He led or contributed to analytic solutions for more than five hundred clients across vertical markets-including AT&T, Banco Santander, Citibank, Dell, J. C. Penney, Monsanto, Morgan Stanley, Office Depot, Sony, Staples, United Health Group, UBS, and Vodafone-and around the world-including the United States, Puerto Rico, Canada, Mexico, Venezuela, Brazil, Chile, the United Kingdom, Belgium, Spain, Italy, Turkey, Israel, Malaysia, and Singapore. Although his roots are in hands-on customer analytics, in the past fifteen years Dinsmore has expanded the scope of his experience to include analytic software applications and broader solutions including database integration and web applications. As a project lead, he has worked with DB2, Oracle, Netezza, SQL Server, and Teradata. Dinsmore is certified in SAS 9 and has working experience with the Hadoop ecosystem and the leading analytic tools in the market today, including SAS, R, SPSS, and Oracle Data Mining. Dinsmore is the author of Modern Analytics Methodologies (FT Press, 2014) and Advanced Analytics Methodologies (FT Press, 2014) and runs The Big Analytics Blog. He holds his MBA from the Wharton School, The University of Pennsylvania, and his bachelor's from Boston University.

Inhaltsangabe

Chapter 1: Disruption.- Chapter 2: A Short History of Business Analytics.- Chapter 3: Open Source Analytics.- Chapter 4: The Hadoop Ecosystem.- Chapter 5: In-Memory Analytics.- Chapter 6: Streaming and Real Time.- Chapter 7: Analytics in the Cloud.- Chapter 8: Machine Learning.- Chapter 9: Self-Service Analytics.- Chapter 10: Handbook for Managers.