About William Schmarzo

As Hitachi Vantara CTO of IoT and Analytics, Bill drives Hitachi Vantara’s “co-creation” efforts with select customers to leverage IoT and analytics to power digital business transformations. With his breadth of experience delivering advanced analytics solutions, the “Dean of Big Data” brings a balanced approach regarding data and analytic capabilities that drive business and operational outcomes. See more of his posts on his LinkedIn handle.

William Schmarzo Posts (34)

• Identifying Variables That Might Be Better Predictors - 02 Feb 2017
  
  This blog serves to expand on the approach that the data science team uses to identify (and quantify) which variables and metrics are better predictors of performance.
• Citizen Data Scientist, Jumbo Shrimp, and Other Descriptions That Make No Sense - 30 Dec 2016
  
  No one would say “Citizen Lawyer” or “Citizen Nuclear Physicists” or “Citizen Physician.” I guess a “Citizen Physician” would be someone who “practices medicine but whose primary job function is outside of the field of medicine (meaning that they’ve had no training in medicine or medical procedures).”
• Internet of Things (IoT) Challenge: The Sensor That Cried Wolf - 23 Dec 2016
  
  William Schmarzo, the "Dean of Big Data," shares a personal story that identifies a tangible issue related to technology in general, and which carries an important message for the Internet of Things (IoT) in particular.
• Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part 2 - 04 Nov 2016
  
  Read the second and final part of this overview of the CDO Toolkit, which integrates the disciplines of economics and analytics to help the CDO to ascertain the economic value of the organization’s data and data sources.
• Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part 1 - 24 Oct 2016
  
  CDOs are the new hot role to rock. Read about the CDO Toolkit, which integrates the disciplines of economics and analytics to help the CDO to ascertain the economic value of the organization’s data and data sources.
• Big Data Dilemma: Save Me Money Versus Make Me Money - 07 Sep 2016
  
  Does your organization see Big Data as an opportunity to “Save Me More Money”, or does your organization see Big Data as an opportunity to “Make Me More Money”?
• Determining the Economic Value of Data - 30 Jun 2016
  
  This post introduces a data economic valuation process that uses an organization’s key business initiatives as this basis for establishing prudent value.
• Big Data Business Model Maturity Index and the Internet of Things (IoT) - 07 Jun 2016
  
  This post explores how organizations could use the Big Data Business Model Maturity Index (BDBMMI) to exploit the Internet of Things (IoT).
• Tips for Data Scientists: Think Like a Business Executive - 18 May 2016
  
  Thinking like a Data Scientist is important; it puts businesses and business leaders in an analytical frame of mind. But it is also important for Data Scientists to be able to think like business executives. Read on to find out why.
• The “Thinking” Part of “Thinking Like A Data Scientist” - 26 Apr 2016
  
  People have a tendency to blindly trust claims from any source that they deem credible, whether or not it conflicts with their own experiences or common sense. Basic stats - common sense = dangerous conclusions viewed as fact.