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Outgrown Excel as a database? Build on it with Datahub
Using Excel as a database? Turn its contents into a shared source in Datahub with definitions, ownership and connections while keeping Excel usable.
Outgrown Excel as a database? Build on it with Datahub
Using Excel as a database? Turn its contents into a shared source in Datahub with definitions, ownership and connections while keeping Excel usable.
From signal to steering: the growth path of your company brain
Nobody starts with automation. The route towards it, yes.
From signal to steering: the growth path of your company brain
Nobody starts with automation. The route towards it, yes.
From Excel copies to working together in Datahub
Collaboration takes more than a shared Excel file. Datahub connects its contents to definitions, ownership and history so your team uses the same source.
From Excel copies to working together in Datahub
Collaboration takes more than a shared Excel file. Datahub connects its contents to definitions, ownership and history so your team uses the same source.
Digital sovereignty: control over your data, your meaning and your AI
Data in Europe is not sovereignty yet. Control is.
Digital sovereignty: control over your data, your meaning and your AI
Data in Europe is not sovereignty yet. Control is.
Excel as a starting point: version control and collaboration with Datahub
Use your Excel file as a starting point for Datahub. Govern its contents with ownership, change history and access rules and work from the same source.
Excel as a starting point: version control and collaboration with Datahub
Use your Excel file as a starting point for Datahub. Govern its contents with ownership, change history and access rules and work from the same source.
Connect once, not once per agent
Every agent you add has to be identified, authorised, networked and trusted, and then kept that way. You solve that once, centrally, or you turn it into a permanent job that grows with every agent you run.
From your critical Excel file to the Datahub company brain
Start with your critical Excel file in Datahub. Capture definitions and source references and prove the company brain’s value before expanding the platform.
You do not own what you cannot take with you
Sovereignty decides where your intelligence runs. Ownership decides whether you can leave with it. Most AI platforms hand you neither, and the gap only shows on the day you try to go.
An agent's bill is set before it runs
A customer interaction that cost four cents in 2023 now costs about $1.20. The token bill is the visible part; what an agent really costs is decided by the foundation it runs on.
Start with one number
Two departments, two figures for the same thing. How to turn that one contested number into an agreement a team dares to steer on, in a single afternoon.
Everyone is buying the same AI
Almost everyone buys the same models from the same vendors. Your edge is not in the model but in the layer beneath it: your definitions, your owners, your meaning.
Data quality has two owners
Every test passes and still nobody trusts the number. Data quality holds two questions: is the data technically correct, and is the right thing being computed?
Technology only creates value once people work differently
The platform runs, the numbers add up, and still nothing changes. Value shows up when the work around the system changes, in small steps.
A data platform finds the fault. It does not change behaviour.
A test reports the deviation reliably, day after day. Still the alert sits there. Why data quality only moves when ignoring it hurts, and what agentic AI changes about that.
From meaning to decision. How a company brain works inside.
Two numbers for the same question is not a data problem but a meaning problem. Four steps from a disputed figure to a decision a team steers on.
What is a data contract?
A data contract is an agreement about what data means, who supplies it and what happens when it changes. It is how a definition gets an owner instead of an opinion.
What is a company brain?
A company brain is the layer where your organization''s knowledge is captured, so people and AI can build on the same understanding. Not a dashboard, not a chatbot: a foundation.
What does AI Native mean?
AI Native does not mean you bought AI. It means your organization is set up so intelligence can do real work in it: definitions captured, data reliable, decisions owned.
The company brain: where your organization's knowledge lives
Every organization has a brain. In most, it is scattered across systems, spreadsheets and people''s heads. This is the mental model: the layers a company brain is made of, why meaning is the foundation, and how to build it without building a whole platform first.
Lean, Six Sigma, Agile, and now: managing intelligence
Every era of business has had a discipline that defined how good organizations operated. A fourth is now forming, and its subject is intelligence.
AI needs your own knowledge. The industry now agrees.
Databricks and Microsoft renewed their partnership around one principle: AI delivers value only once it is grounded in your own knowledge. The principle is settled. Two questions are not: where does it start, and whose is it?
AI is not a miracle. It is craftsmanship.
AI does not fix chaos. What works is the order: processes first, then definitions, then trustworthy data. Only then does AI become the brain at the heart of your organization.
Related
Start with one decision that has to get better
Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.