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Submitted URL: https://mail.datameer.com/e3t/Ctc/GD+113/cGr5k04/VX4wyM7PhKTrW53kyzb810mh3VrHz2f4J7XTFN8pR4Bm5nCT_V3Zsc37CgJDZW5Wg57G7_RKM...
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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.


NO-CODE DATA TRANSFORMATION

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HOW TO REEL-IN DATA ENGINEERING COSTS

Data volumes continue to grow at an astronomical rate. IDC’s Global DataSphere
claimed that...

 * John Morrell
 * January 2, 2022


HOW TO GET YOUR TEAM COLLABORATING ON YOUR DATA

Data volumes are more extensive than ever. And the data is coming from an
ever-growing number of ...

 * John Morrell
 * January 1, 2022


HOW TO GET THE DATA YOU NEED

Common obstacles preventing you from getting the data you need. Data is
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 * January 15, 2022

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