whiteboard explainer videos

Episode 12: How can you promote a culture of data-driven decisions in your organization? This video explains with a case study.

Episode 11: From lack of data literacy to absence of data culture, what are the 5 biggest challenges in #DataScience projects? Find out with real-world examples how you can overcome these hurdles.

Episode 10: How can you create a #DataScience strategy for your organization? This video uses examples to present a simple framework with ten key elements.

Episode 09: Why do you need Decision Intelligence (DI) to unlock business value in your projects? What does DI really mean? Another buzzword? In this video, I explain the key disciplines in DI with a business example.

Episode 08: What’s the best way to identify your ROI from #DataScience? We share a 4-step process with examples. And, the one thing you must do before you even get started.

Episode 07: What are the 5 Roles that every Data Science team needs to hire? What would happen if you skip even one of these? In this video, we explain the roles with an example.

Episode 06: How should you identify the right data science projects to ensure business alignment & value? In this video, we share an approach we evolved at Gramener, with an example.

Episode 05: Do you need humans in your AI solution? How can this impact user adoption and business ROI? Human-in-the-loop is a design choice. In this video, we share success and failure scenarios.

Episode 04: How explainable should your Data Science solution be? Our latest whiteboard video shares a useful framework for data leaders.

Episode 03: While talking with CIOs and data leaders, we recommend that they ask 4 better, sharper questions. This helps you make sense of accuracy and take the right business decision. Check out the video to explore this new perspective.

Episode 02: Choosing the right initiatives (functional projects, or process revamp projects, or people upskill projects) can help you move up the maturity curve. In this video, we share a framework that’s helped our clients at Gramener get the best ROI from data.

Episode 01: Many businesses get off to a great start in Data Science, but then stagnate. What happens mid-way? From our learnings at Gramener, we share the challenges and 5 ways to avoid getting stuck.