Friday, April 16, 2021
Digital transformation is being affected in nearly every industry but accomplishing true transformation requires not only technological advancement but reformation of culture and processes to embrace that transformation. At the core of digital transformation is a shift toward data-driven decisioning and action. The tools and capabilities that are produced by data scientists can be very powerful, but without the data translator, without someone to link projects to business initiatives and strategies, achieving enterprise transformation and AI adoption is impossible.
Why Can’t My Data Scientists and the Business Stakeholders Understand Each Other? Bridging the Gap Between the Business and Data ScienceJoin on Crowdcast
Businesses are hungry to transform into data driven organizations. However, despite hiring top data science talent, businesses often encounter challenges implementing data science solutions. This talk will give concrete advice about how executives can structure their organizations to reduce the frustration and failure that often comes with data science projects. Executives and managers will come away with concrete practices they can adopt to make their own data science projects succeed.
This presentation focuses on the four critical elements of Business Analytics Journey for any organization.
- Start with the customer (Internal and External) Understand the current process • Map the journey • Identify the bottlenecks and pick the three biggest ones. • Look for any known/unknown pain-points
- Value Realization • Near-term • Short-term
- Communication • Story-telling • Make it simple enough (think 5th grade level 😊) • Ongoing communication (Agile Delivery)
- Expand the Footprint/Business Development • Your analytics and dashboard can be more valuable to others • Build on the success.