Session 1 of data science and analytics thought leadership series.
Despite companies investing millions of dollars in analytics to improve their competitiveness, the majority of data science projects fail to deliver on expected benefits. Skepticism among executives about the promise of data science is far too common, and data science professionals feel that they can’t win. While digitally-born companies tend to fare better, this is a global problem that is plaguing organizations of all sizes across industries. Solutions have been hard to sustain, patience is waning and the pace of disruption continues to accelerate. Is this an expectations problem? Is it a capability problem? Or, is it something else? In this lively webinar series, we aim to bring the messy reality of how elusive and hard to sustain value is in data science.
By connecting seasoned practitioners and researchers, we combine the best of both worlds to provide insights that practitioners can use to establish a roadmap that is consistent with their own context. Our approach is not just food for thought but also food for practical action. The series consists of the following webinars:
Feb 25: Why DSA? And What’s the big deal?
Mar 25: Establishing and maintaining a successful Data Strategy
Apr 29: Infrastructure for data collection and consumption
May 27: Organization for Data Science and Analytics
Jun 24: Managing data integrity and timelines and tailoring
Jul 29: Value management in DSA: From problem formulation to the last mile and beyond
Aug 26: The tug of war between operational excellence and resilience. Can they co-exist?
Sep 30: Implement a Data Governance Framework