DataDash™ from Promethium

Bringing collaboration to analytics


Data Analytics for Business Users

Self-service analytics is a strategic imperative for any business that wants to be a data-driven powerhouse, but significant cost, complexity and time requirements remain.


People can use plain language queries in a search engine to access all the world’s data for answers to complex questions. Why can’t enterprises do the same?

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DataDash from Promethium

Introducing Promethium’s DataDash™, the first AI-powered collaboration tool for Analytics that combines natural language processing (NLP) for simplified data discovery.  In short, DataDash is a

no-code data management & BI tool.

With DataDash, non-technical or business users can simply
Retrieve answers to questions already asked
Search for semantically and contextually similar questions.
Ask a new question that initiates a workflow between the Data Team / IT and the business.

With a searchable catalog of answered questions and analysis, business users can get answers quickly.  Data teams can avoid spending time on work that has already been done.


Achieve Big Goals
True Self Service

DataDash is a user friendly self service solution for the customers of the Data Team's services.

Business users use intuitive natural language search to find questions that have already been answered and analysis that has already been done.

With DataDash customer wait times are decreased, duplicated request are eliminated and Data Team's are free to focus on the highest priorities.

Collaborate in Real Time

DataDash is the collaboration solution for Data Teams and the people who depend on their services.

All requests from the business are centrally captured, time stamped and assigned to the Data Team.

With status updates and communication in real time projects finish faster with better results.

"Promethium has positioned itself well, as its Data Navigation System (DNS) provides data analysts with AI-driven and automated self-service access to data without requiring data to be migrated to a new platform."


Matt Aslett

Research Director, Data, AI & Analytics | London, UK