Uncategorized

Your team knows how to build a dashboard, reconcile a forecast, or improve a model. Explaining how that work supports the business often requires a separate effort: finding the right files, identifying who depends on them, and assembling a progress report from scattered notes. MyDataWork brings those connections into one workspace. It links analytical assets

What MyDataWork holds about your estate, what it never holds, and why structure answers the questions your data can’t. “We only read metadata” reads as either reassuring or limiting, depending on where you stand. It’s good news if you’re trying to adopt something new without waiting weeks to clear a security review. It can sound

Inflation. Weather. Employment. Energy prices. Who lives in the trade area, and how that changed. The context your forecasts are missing is published, current, and free — and most teams never get to it. Not because it wouldn’t help, but because working out which source fits, before you commit to building anything, takes an afternoon

A semantic layer tells an agent what the numbers mean. It will not tell it who owns the work, or what breaks when that work changes. Gib Bassett · Founder, MyDataWork In March, Jason Cui and Jennifer Li published Your Data Agents Need Context on the Andreessen Horowitz website, a16z. It is the clearest account

Introducing Architecture & Value — the leadership view that turns the work your team already tracks into a single portfolio of tools, value, and dependencies. Deterministic, aggregate, and built for the team lead. A two-minute walkthrough of Architecture & Value, from the tool portfolio to the audited full-workspace view. A dozen tools, and no single

Your data work has never had a home before. That’s not a criticism of your tooling — it’s the simple reality this product exists to change. The spreadsheets, queries, dashboards, and notebooks that run your part of the business live in folders and memory, and until now there’s been no system whose job was to

Everyone is racing to give AI agents more autonomy. The hard part isn’t wiring an agent to tools — it’s deciding which agentic use case is worth building, which systems it needs, and what guardrails keep it safe. Agent Studio is the place you answer those questions, from the systems you already work with, before

Most data-lineage tools are strongest where the work is governed, centralized, and platform-visible: warehouse tables, SQL transformations, dbt models, semantic layers, and dashboards connected to known sources. Inside that world, they can be genuinely useful. But a lot of analytical work still happens outside that clean boundary. It happens in Excel, in Alteryx, in local

Open any analyst’s working folder and you will find the same thing: spreadsheets, SQL scripts, Alteryx workflows, dashboards, notebooks, a model or two, and a handful of exports. Each file is the product of real effort and real judgment. And not one of them can tell you why it exists. A file named dc_starting_inventory.xlsx does

How MyDataWork Applies AI to Real Data Work Most software that advertises AI starts with a chat box and leaves the rest to you. MyDataWork has an AI help assistant too, because users should be able to get guidance wherever they are in the app. But the assistant is not the main AI story. It is