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The Cure for Complexity: How Consolidation is Reshaping the Data Landscape

Sep 11, 2025 By Drew Clarke In Qlik

We’re at a pivotal moment in the data integration market. For years, the rallying cry for data professionals was to adopt the "modern data stack" (MDS), with the promise of a "best-of-breed" approach. This vision led many organizations to assemble a collection of specialized, single-purpose tools—one for ingestion, another for transformation, a third for quality, and so on—to create a highly effective data environment. However, reality has proven far more complex.

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Top Data and AI Opportunities | A Conversation With Snowflake CIO Mike Blandina

Sep 11, 2025 By Snowflake Inc. In Snowflake

Snowflake CIO Mike Blandina talks with "Data Cloud Now" Anchor Ryan Green about issues that are top of mind for CIO's across all industries as they move their organizations through digital transformation journeys and evaluate the potential of GenAI. They discuss the challenge of separating hype from reality, the potential of AI agents, and the strategies company executives can employ to measure impact and ROI.

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

Sep 11, 2025 By Grega Cej In Databox

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.

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The Story Behind OKRs: Why We're Building Them in Databox

Sep 11, 2025 By Uroš Soukup In Databox

OKRs were designed to help companies turn strategy into execution. In practice, though, that’s not always the case. When I first started working on the OKRs feature at Databox, I interviewed customers to understand how they apply OKRs and similar frameworks in their companies today.

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The Modern Data Stack Blueprint: From Data Lake to Dashboard

Sep 11, 2025 By InsightSoftware In InsightSoftware

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.

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

Sep 11, 2025 By Yellowfin Team In Yellowfin

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.

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Agility is the new growth strategy

Sep 11, 2025 By Ali Orlando Wert In Databox

Volatility is the new default. Uncertainty rivals pandemic-era chaos. Go-to-market leaders are stuck between long-term planning cycles and short-term fire drills. That’s a lot of bad news… but Kathleen Booth, SVP of Marketing & Growth at Pavilion, says it doesn’t have to be that way.

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Unify and activate financial data with Fivetran and Databricks

Sep 11, 2025 By Sydney Ceccato In Fivetran

Fivetran and Databricks combine to help financial services teams unify data, accelerate AI adoption, and drive real-time, personalized insights at scale.

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

Sep 10, 2025 By Katja Pozeb In Databox

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.

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Unlocking the Autonomous Enterprise, with ThoughtSpot CEO

Sep 10, 2025 By ThoughtSpot In ThoughtSpot

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.