Unstructured: The MyDataWork Blog

Alteryx workflows have a way of becoming infrastructure. A workflow starts as a practical solution: blend the Excel assumptions file, clean up the partner CSV, join it to staged SQL, produce the forecast, push the output downstream. Then people begin to depend on it. Finance builds a dashboard from the output. Supply chain uses it in planning. A manager starts asking for the number every Monday. Months later, the workflow is no longer just an

Dataiku gives you a lot. The Flow is one of the most complete analytical surfaces in the market — a visual DAG of datasets, recipes, models, and outputs that captures an end-to-end pipeline from raw input to deployed model. You get real lineage out of the box: column-level dependencies, a data catalog across projects, and visibility into how data transforms through every recipe step. Add Dataiku Govern and you get governance workflows, sign-offs, metrics, attachments,

Snowflake gives you a lot. Centralized data, elastic compute, robust governance primitives, query history, fine-grained access controls. For most analytics teams, it’s the most operationally mature surface in their stack. If you’re running dbt on top of Snowflake, you have even more: a strong dependency graph across your transformations, model descriptions, owner tags, lineage in the dbt docs site. The combination is genuinely powerful. But there’s a layer above all of this that neither Snowflake

Every organization is being asked to “do something with AI.” The vendors selling AI agents assume your analytical work context exists in a form they can use. In most organizations, it doesn’t — not yet. Your analyses live in folders, dashboards, scripts, and individual memory. The agents your leadership is about to deploy need that work to be visible, structured, and connected before they can do anything useful with it. MyDataWork’s Explorer plan is 90

One way MyDataWork makes a difference in your data work   The Tableau workbook is where exploration lives. A sales VP filters the executive scorecard by region and finds a territory that’s been underperforming for two quarters. A marketing analyst slices campaign performance by channel and segment to figure out why last month’s spend underdelivered. An operations lead drills into a service-level dashboard and traces a delay back to one upstream process. The interactivity is

One way MyDataWork makes a difference in your data work   You build dashboards in Power BI. That’s your primary surface for the work that matters — the executive KPI views, the regional sales drilldowns, the operational dashboards leadership checks on their phones. Power BI gives you a lot. The Lineage View in Power BI Service shows you the dataflows feeding your semantic models, the registered external sources behind those dataflows, and the reports and