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Why sharing knowledge about your data across your team is so important

  • John Morrell
  • November 22, 2021

Sharing knowledge about your data across your team leads to high-quality analytics.

Knowledge about your data is everywhere.  Sharing this knowledge is essential for high-quality analytics and driving greater data literacy.

Data engineers tend to know more about the data itself – where it resides, how it is structured and formatted, and how to get it – and less about how the business uses the data. Their role is highly focused on managing data.

Data analysts and scientists know less about the data itself but have a complete understanding of how the business would use the data and how it would be incorporated into analytics. They may have varying technical skills but would prefer to spend more time on what they are good at – analysis – and less on coding data transformation.

Business teams need to know what the data means and if they can trust it.  This allows business teams to properly interpret analytics results, make decisions, and take effective actions to drive optimal outcomes.

This issue with most data transformation tools

A critical problem with most data transformation tools is that they are programmatic IDEs that do not support collaboration and information sharing.  They do little to allow data engineers and analysts to work together to solve data problems and the information captured about the data is rudimentary.

How to get your team collaborating

Besides offering low- and no-code data transformation UIs for non-programmers, Datameer also supports collaborative processes and workspaces where team members can work together to model and transform data.  This allows each team member to use their unique skills and expertise about the data to get the best analytics results and answer business questions quickly and easily.

Datameer also offers a rich suite of catalog-like data documentation features that allows the entire team to share knowledge.  This includes auto-generated documentation and properties and user-supplied documentation such as descriptions, tags, comments, and business metadata.  This allows all information about the data to be captured and shared, while also giving business teams an easily understandable window into the data to facilitate trust and transparency along with confident actions.

Do you want to see Datameer in action and explore these unique data modeling and transformation capabilities?  Schedule a personalized private preview with our team today.

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