Data strategy articles
How Plainsight thinks about data strategy: data products the business actually uses, getting your data ready for AI and Copilot, talking to your data with answers you can trust, and turning a strategy into a roadmap people follow.
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Data StrategyWill we soon just talk to our data?
Conversational AI finally promises real self-service analytics. Whether talking to your data gives you answers you can trust depends less on the data agent than on the foundation beneath it. A Plainsight point of view, based on the work we are doing with our first clients.
Power BICopilot Gives Bad Answers? Fix Your Data First.
Copilot misses the mark when your Power BI semantic model isn't prepared for AI. Two concrete steps (clean up your model and use Prep Data for AI) turn unusable answers into ones you'd happily share with your manager.
Data EngineeringImplementing Data Mesh with dbt: From Principles to Practice
Most traditional organizations rely on a centralized data team to own, build, and maintain everything data related. This team supports every business domain…
More on Data strategy
StrategyAre We Still Thinking? The Hidden Risk in Every AI Rollout
AI is reshaping every workflow, but cognitive surrender, deskilling and a shifting skill mix are the blind spot most AI strategies miss. Here is what to do about it.
Don't Let Your Data Stack Be a Showroom
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Is Your Business Unhappy with Your Data Products?
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Business Only Cares About Gold -- And Why You Should Too
Nobody ever asked for a beautifully maintained bronze layer. Go for Gold keeps only the layers that earn their place between raw data and insight.
From Data Products to Roadmap
From a long list of data product ideas to a build order: score business impact against technical feasibility and turn the result into a roadmap.
Translate Your Data & Analytics Capabilities to Business Outcomes
How business outcomes, data products and the capabilities underneath them fit together: the framework we use to connect data work to strategy.
How Decentralized Are Your Data Products?
A four-axis check of how decentralized your data products really are: people, process, technology and data, and where the balance should sit.
From Insights to Impact: The Ultimate Guide to Landing Your Data Strategy
Our framework for landing a data strategy: the 10,000 feet business view, data products, a ground level roadmap, and outcomes you can measure.