
Cindi Howson
Chief Data Strategy Officer at ThoughtSpot and host of The Data Chief podcast, thought leader in analytics and BI.
Top 3 podcasts with Cindi Howson
Ranked by the Snipd community

29 snips
Sep 4, 2023 • 39min
#153 From Data Literacy to AI Literacy with Cindi Howson, Chief Data Strategy Officer at ThoughtSpot
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and a renowned expert in data analytics, discusses the rise of data and AI literacy in organizations. She emphasizes the cultural shift needed to embrace generative AI, highlighting its profound impact on job roles and the importance of bridging business needs with technology. Cindi explains how AI literacy complements data literacy and reveals how generative AI can enhance data accessibility, transforming data management and empowering a new generation of data professionals.

26 snips
Mar 29, 2023 • 41min
[Radar Recap] Building an Enterprise Data Strategy that Puts People First
Cindi Howson, Chief Data Strategy Officer at ThoughtSpot and a thought leader in analytics, joins Valerie Logan, Founder and CEO of The Data Lodge and advocate for data literacy. They delve into the importance of placing culture and people at the heart of data strategies. Key insights include effective change management for fostering data culture, the necessity of aligning data initiatives with business goals, and the pivotal role of leadership in promoting data literacy. Their discussion is packed with practical advice for navigating the complex data landscape.

12 snips
Dec 9, 2025 • 56min
#286: Metrics Layers. Data Dictionaries. Maybe It's All Semantic (Layers)? With Cindi Howson
Cindi Howson, Chief Data & AI Strategy Officer at ThoughtSpot and a seasoned expert in business intelligence, discusses the resurgence of semantic layers in data strategy. She explains how these layers provide essential business context to raw data, reducing misunderstandings across departments. Cindi debates the need for multiple, context-driven semantic implementations rather than a single monolithic layer. She also highlights the importance of data modeling skills for analysts and offers practical tips for creating effective semantic layers.


