Product Update: "Teams" Are Now Called "Spaces"

When we first introduced Teams in Databox, the goal was to give every team a “home base”, a shared space where they could collaborate around the metrics, Databoards, and Reports that mattered most. Executives could monitor company-wide performance at a glance. Team leaders could use it to organize dashboards around key initiatives and keep their teams aligned. And individual contributors could quickly access the data most relevant to their role. For many of you, that was the case.

The Modern Data Stack Blueprint: From Data Lake to Dashboard

You collect massive amounts of data every day: streaming logs, transaction records, user interactions, and sensor data. The goal is transforming this into valuable near real-time analytics and business intelligence. But here’s the problem: most data lakes turn into data swamps where valuable insights get buried under poor organization and slow performance. Apache Iceberg and Trino provide the foundation for organized, high-performance data storage and querying.

How Stripe, Uber Eats & Intercom Use In-App Analytics to Hook Users

Embedded analytics are vital for user engagement. Companies like Stripe, Uber Eats, and Intercom use them to provide real-time, in-app insights. Instead of building this complex functionality from scratch, a solution like Yellowfin allows you to quickly embed powerful, white-labeled analytics, providing a great user experience with less development effort. Don’t just take our word for it - try Yellowfin for yourself by requesting a free trial.

The Story Behind Forecasts: Why We're Rebuilding It (and What We're Learning)

When I took over the forecasting feature at Databox, one thing was clear: users weren’t adopting it the way we’d hoped. To change that, we made several improvements based on user feedback. We added support for seasonality and holidays. Introduced a confidence score to help teams understand how reliable their projections were. And made it possible to save forecasts for future comparison. Each update made the feature more powerful, but even with all those changes, adoption barely moved.

Unlocking the Autonomous Enterprise, with ThoughtSpot CEO

The next generation of analytics is here. In this episode of The Data Chief, ThoughtSpot CEO Ketan Karkhanis explains why AI is the new BI, and the future of analytics is autonomous. Karkhanis shares his vision for the autonomous enterprise, where AI agents act on insights and automate workflows. He also explains why a culture of trust and experimentation is crucial for unlocking AI's full potential. Don't miss this discussion on how to fundamentally rethink how organizations interact with data to drive better business outcomes and build an autonomous enterprise.

Ep 39 | Enabling the Future of AI with Donna Beasley

AI can’t transform businesses if organizations aren’t prepared to embrace it. Donna Beasley, Chief AI Enablement Officer, joins The AI Forecast to explore thoughtful AI deployment in an organization. She and host Paul Muller dive into the challenges and opportunities of AI adoption, from ensuring data quality to driving organizational change management. They discuss the importance of collaboration across departments, strategies for overcoming resistance, and the critical role of training and meeting individuals where they are in their openness with AI.

Leading with Data: AI-Driven Strategies for Tomorrow

In this interview with Nick Johnson-Hill, VP Data Group for Crum and Foster, we dive into what it takes to lead a modern team of data professionals and leverage modern data strategies for creating maximum impact. Nick also discusses the role and effectiveness of leveraging Generative AI for augmenting data teams.