akamai, analytics, Barbara Latuilppe, data hording, data monetization, EMC, , Michael Schrage, MIT, ownership, privacy, security

Data Governance – Why, Who, and How?

By: Sara Fraim, Cluster Manager, MassTLC

We had our first program tackling
the very complex topic of data governance on Thursday, March 10 hosted by Rocket Software. This program kicked
off what we expect to be an initiative that MassTLC takes on throughout this
year related to the much bigger topics of data governance, ownership, and
We were lucky enough to have
three thought leaders who have built governance programs and understand the
why, how, and who that is involved. Led by Michael
, a Fellow at the MIT Sloan
School’s Center for Digital Business
and joined by panel members, Andy Ellis, CSO at Akamai, and Barbara Latuilppe,
Chief Data Governance Officer at EMC, the
discussion quickly dove into how each company defined and thought about data
EMC’s, which is very robust and
as Barbara stated a ‘continuous journey’ of now over four years in the making,
focuses on business strategy and solving business issues by fueling the
analytics engine. While Akamai’s governance focuses on understanding not only
what could go right, but more importantly understanding what could go wrong.
While both companies have made
huge strides in implementing processes and technologies to govern, there are
still ever present problems, such as ownership and data hording. And often
times to break through that, there must be a champion within the organization
with the clout to push it through. The most successful governance programs have
active investors and supporters who can understand at a high level how
implementing data governance mechanisms and policies will increase monetization
and improve efficiencies.

As governance programs become
more sophisticated it is important to add defined processes, such as a standard
set of business glossary terms and a metadata catalogue. While not an easy
task, important to the ultimate success. But ultimately the program must be
defined by what the organization is trying to accomplish and what risk they are
willing to take. 

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