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HOW PITNEY BOWES SAVES 30+ HOURS/MONTH WITH SELECT STAR’S AUTOMATED DATA
CATALOGING



Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides
technology, logistics, and financial services to more than 90 percent of the
Fortune 500. Small business, retail, enterprise, and government clients around
the world rely on Pitney Bowes to remove the complexity of sending mail and
parcels.

30+
hours saved on data troubleshooting
67%
more efficient data asset cataloging



Industry:
Commerce
Company size:
11,000+ employees
Integrations:
Snowflake, Tableau, Azure AD SAML SSO
Integrations:



CHALLENGE

Too much time manually cataloging data assets

As part of the Data Management team, Vishal Shah, Solutions Integration and
Deployment Architect, is tasked with supporting Pitney Bowes’ end users,
including developers, data scientists, and other internal data consumers looking
for pieces of data.

But before Select Star, it wasn’t easy. Pitney Bowes’ data was organized in a
Data Mesh pattern—multiple teams producing and also consuming data
independently. Manually untangling ETL queries to understand how different data
assets were connected was time-consuming and overwhelming for Vishal and his
team.

The data management team needed a more efficient way to query datasets and find
answers to data questions. Pitney Bowes’ end users frequently need these
insights to inform strategic decisions. Inaccurate or mismanaged data results in
costly delays.With so much at stake, Pitney Bowes needed a better way to
organize, discover, and govern data.

I’m saving at least 30 hours a month easily just by automating schema changes.
If I factor in the time to get new assets added to the catalog, we’re talking
about additional days of time savings.

Vishal Shah

Solutions Integration & Deployment Architect




SOLUTION

Select Star for data discovery and governance

Select Star, an intelligent data discovery platform, solves Pitney Bowes’
biggest challenges and helps their data management team organize and understand
data. They use Select Star to:

‍Organize and govern data
‍Customizable tagging and dynamic metadata help users quickly find the exact
information they need to complete tasks and even create repeatable procedures
for querying data sets

‍Understand the impact of column changes
‍The data lineage view lets users see how changes in one table will affect
others. This allows Vishal’s team to trace errors upstream dependencies and
identify all of the assets downstream that might be affected

‍Capture tribal knowledge
‍By automatically detecting and displaying how a data set is being used inside
the company, Pitney Bowes’ developers know at a glance which field they should
use for each specific use case.

‍Ensure data security
‍Select Star is AICPA SOC 2-compliant, providing peace of mind to Pitney Bowes’
data management team.

No matter what information a user wants, it is easy to find it with the Select
Star interface. And when someone accesses a database with a thousand tables in
it, the data lineage view helps them know what to do with all of that data.



Eliminate manual processes
‍One-click integrations with Snowflake, Tableau, and Azure AD SSO helped end
onerous manual processes of metadata ingestion and reduce the risk of human
error

‍Search for, find, and understand data
‍An intuitive user interface makes it easy for end users to glean the insights
they need.After only one month with Select Star, Vishal’s team was able to
 accomplish what they couldn’t do in a year with IBM Watson Data Catalog—they
had configured a functional, powerful, and highly efficient data catalog for
everyone at Pitney Bowes.


RESULT

Data management team saves 30+ hours/month

Pitney Bowes’ developers can now easily search for the data they need without
relying on manually looking into complex SQL queries. With Select Star’s
powerful automation, it’s much faster for Pitney Bowes’ teams to find answers to
their data questions.
‍
The data management team now spends a substantially reduced amount of time on
data troubleshooting. Vishal estimates that his team saves more than 30 hours
each month thanks to the self-service platform. He also says that Select Star
has helped improve his team’s asset cataloging efficiency by upwards of 67%.

Already, more than 12 teams at Pitney Bowes use Select Star on a daily basis.
He’s currently rolling out the solution company-wide.


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