In this podcast, Bill Schmarzo talks about the ingredients of successful data science practice, team, and executives. Bill shared his insights on what some leaders in the industries are doing and some challenges seen in the successful deployment. Bill shared his key take on ingredients for some of the successful hires. This podcast is great for growth mindset executives willing to learn about creating a successful data science practice.
0:29 Bill’s journey.
5:05:00 Bill’s current role.
7:04 Data science adoption challenges for businesses.
9:33 The good side of data science adoption.
11:22 How is data science changing business.
14:34 Strategies behind distributed IT.
18:35 Analysing the current amount of data.
21:50 Who should own the idea of data science?
24:34 The right background for a CDO.
25:52 Bias in IT.
29:35 Hacks to keep yourself bias-free.
31:58 Team vs. tool for putting together a good data-driven practice.
34:54 Value cycle in data science.
37:10 Maturity model.
39:17 Convincing culture heavy businesses to adopt data.
42:47 Keeping oneself sane during the technological disruption.
46:20 Hiring the right talent.
51:46 Ingredients of a good data science hire.
56:00 Bill’s success mantra.
59:07 Bill’s favorite reads.
1:00:36 Closing remarks.
Bill’s Recommended Read:
Moneyball: The Art of Winning an Unfair Game by Michael Lewis http://amzn.to/2FqBFg8
Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2tlZAvP
Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power the organization’s key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the “Big Data MBA” course.
Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.
Bill holds a master’s degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science, and Business Administration from Coe College.
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