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databox

10 Best Google Data Studio (formerly Looker Studio) Alternatives for Analytics in 2026

Jun 19, 2026 By Nevena Rudan In Databox
On April 11, 2026, Google renamed Looker Studio back to Data Studio to end years of confusion with the enterprise Looker product. The rename did not change the underlying architecture: Data Studio remains a visualization layer, not a data integration platform. That means the moment you need sources beyond Google Analytics, Google Ads, and BigQuery, you are handling extraction, transformation, schema changes, and cross-platform normalization on your own, or paying for connectors that do it for you.
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astera

Your AI Projects Need a Platform

Jun 18, 2026 By Ibrahim Surani In Astera
In my younger days, eons ago in tech years, I worked on many enterprises IT projects or saw them up close. Failure rates of these projects were incredibly high. There was a mortgage system that was expected to be live in six months but ended up taking over five years and went live with a small fraction of the features originally planned. Many other projects never got out of the development phase.
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confluent

Meeting Data (and Analytics) Engineers Where They Are: Introducing the dbt Adapter for Confluent Cloud

Jun 18, 2026 By Zander Matheson In Confluent
dbt is the most commonly used tool by data engineers to define SQL transformations (as models), write tests, generate documentation, and deploy through CI/CD and now it’s available with Confluent Cloud too! The magic of dbt is that it brings the engineering rigor to modern data work and data engineering, regardless of the underlying compute source - Snowflake, BigQuery, Databricks, Redshift or Confluent. You can find out more about the launch in our Q2 Confluent Cloud Launch post and the keynote.
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Ready Set Code! The Telemetry Tsunami

Jun 18, 2026 By Snowflake Inc. In Snowflake
Welcome to Ready Set Code! The game show where data engineers face off to prove who can build faster. In today's episode, "The Telemetry Tsunami," three contestants face a massive flood of nested JSON telemetry data. Their mission: flatten the arrays, join it to customer tables, and deploy a secure automated pipeline. Who will separate themselves as a data driver vs. a data downer? Find out now! Type Less. Build More.
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Streaming highlights from Databricks Data + AI Summit

Jun 18, 2026 By LensesIO In Lenses
Join Tun Shwe and Jeremy Frenay as they stream live from the floor of the Databricks Data + AI Summit! They’ll break down the biggest announcements, key takeaways, and cutting-edge trends shaping the intersection of AI and data streaming. Register to get an insider look at the future of data AI streaming.
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keboola

Guessing AI vs. Verifiable AI: Why the Difference Matters in Finance

Jun 18, 2026 By K In Keboola
I asked Claude what the cash position would be at year-end. The answer was about 30% off. A CFO said this at a finance leaders breakfast in Prague. Almost every CFO in the room had a version of the same story. The problem is not the model. Claude is not bad at maths. The problem is what the model was reasoning over - raw financial data with no governed definitions, no intercompany rules, no agreed methodology for what 'cash position' means at that specific company.
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keboola

Why Your Rolling Forecast Is Always Stale

Jun 18, 2026 By Kristyna Kaucka In Keboola
Every FP&A team knows the feeling. The reforecast was published on Monday. By Wednesday, someone in sales has closed a deal that changes the revenue picture. By Friday, procurement has flagged a cost overrun that nobody modelled. The forecast is four days old and already partially wrong. This is not a forecasting problem. It is a data pipeline problem. Finance teams hired analysts for their analytical skills.
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keboola

Why Your Chart of Accounts Breaks at Every Acquisition

Jun 18, 2026 By Kristyna Kaucka In Keboola
You closed the deal. The press release went out. Integration planning is underway. And somewhere in the finance team, a controller is opening a spreadsheet and starting to map 1,400 account codes from the acquired company's ERP into your group chart of accounts. This is the moment the chart of accounts breaks. Not dramatically. Not all at once.
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How Structured Content Improves Financial Product Communication

How Structured Content Improves Financial Product Communication

Jun 18, 2026 By SystemsDigest In SystemsDigest
Financial product communication has to be clear, accurate, and easy to understand. Customers often compare banking products, insurance options, investment services, loans, credit cards, payment solutions, and savings accounts before making a decision. Each product may include detailed information about fees, eligibility, benefits, terms, risks, application steps, and support options. When this information is presented in a confusing or inconsistent way, customers may struggle to understand what a product offers and whether it is right for their needs.
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