Latttice — Have a conversation with your data
Latttice — the Data Product Workbench for Collibra, now on the Collibra MarketplaceLatttice — the Data Product Workbench for Snowflake70% Less Complexity with LattticeDeliver Trusted Data 80% FasterLower the Cost of Building and Operating Data Products by 70%Latttice is available where business teams work — Slack, Excel, LattticeGPTLatttice the Data Product Workbench brings trusted, fit-for-purpose data to the point of decisionsLatttice the Data Product Workbench is the bridge between the Business and Data TeamsLatttice delivers active governance at the point of data access, so trusted data products are created, controlled, and used with confidenceDesigned in North Carolina, USA
Data for Decisions Assessment

Is your data ready at the point decisions are made?

Data is everywhere. But is it decision-ready in your organization? Eight quick questions to see where your business stands — and what's holding it back.

Anonymous and confidential. We collect the answers — never any identifying information — to understand where the data community is on its journey to decision-ready and AI-ready data. This assessment is a guide for you. The answers help shape Latttice into the future. We're data practitioners who pride ourselves on actively listening to the data community.

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  1. 1

    Does your business currently treat data as a product — packaged, reusable, governed assets the business relies on?

  2. 2

    Who builds the data products your business uses?

  3. 3

    When your business teams need data for a decision, how quickly can they get it?

  4. 4

    Do the people making decisions understand the context behind the data they're using?

  5. 5

    When a key decision needs data from multiple systems (e.g. CRM + billing + operations), how does it usually come together?

  6. 6

    How much of your data budget goes to building and re-building the same things?

  7. 7

    How long does it take to deliver a new trusted data product to the business?

  8. 8

    Is governance helping or slowing the business down?

  9. 9

    Are your AI initiatives grounded in trusted, governed data products?

  10. 10

    When a business team needs a new metric or trusted data product, what typically happens?

Submissions are anonymous — no name, email, or account required.