How can a data governance program be successful with separate tools?

Michelle Knight

How can a data governance program be successful with separate tools?

This questions was posed in reponse to a Bob Seiner Webinar, Build your own Data Governance tools

How can a data governance program be successful with separate tools that need to be implemented, maintained, updated and kept in sync?

Edited By:
Michelle Knight[All DATAVERSITY Members] @ Oct 23, 2019 - 11:27 AM (America/Pacific)

Michelle Knight

RE: How can a data governance program be successful if
(in response to Michelle Knight)

 

 

 

This response was posted by Jason m Hare:

 

This was addressed in the webinar. The organization (and this has been true
in my projects) should develop the strategy, the pillars that make up the
data governance policies and fist ask the "why" (along with a series of
problem statements on the current state) before choosing the tools. In the
webinar, orgs start out with self-made tools but at a certain point, some
software is necessary. Starting out with the software tends to create data
governance around the tool rather than the tool supporting the data
governance strategy. This is my own two cents.

*Jason M. Hare*
LinkedIn: https://www.linkedin.com/in/jhare/
Skype: jason_hare
+1 9193232767
@jasonmhare


On Sun, Oct 20, 2019 at 7:07 PM Ray Diaz, CBIP, CDP, CSM, ICP-ATF <
[login to unmask email]> wrote:

> Bob, thanks for the excellent presentation and the tools you provided. My
> question is how can a data governance program be successful if there is a
> good number of separate tools that need to be implemented, maintained,
> updated and kept in sync?
>
> I'm asking the question because, I am seeing that medium to large
> organizations have a huge number of metadata assets (glossary, technical
> metadata, reports, systems, integrations + policies and standards...) that
> need to be presented in some platform where hundreds to thousands of data
> consumers can access the information so they obtain understanding to manage
> data and obtain value. This platform needs to be continually updated to
> keep it current so that the information is not stale.
>
> Without a enterprise capable Data Governance Suite or Platform, I cannot
> understand how organizations can implement a success program using an
> Office Suite, Sharepoint, a Data Quality toolset, and more cohesively.
>
> Your feedback is appreciated.
>
> -----End Original Message-----
>

Ray Diaz, CBIP, CDP, CSM, ICP-ATF

RE: How can a data governance program be successful if
(in response to Michelle Knight)

A streamlined technology stack or platform, makes the execution simpler to manage and deliver results .

Complexity is the “silent killer” of growth, creeping in unnoticed as companies expand into new geographies and lines of business. In a Bain & Company survey, 85% of CEOs in companies that have ceased to be value creators blame internal factors such as complexity, not external factors, for their woes. Complexity kills, but companies don’t need to succumb. 

Organizational simplification can deliver sustained performance improvement because it addresses unneeded complexity that drives cost and limits responsiveness.

Jason Matthew Hare, CIP&#174;, CDMP&#174;, ITIL&#174;, APM&#174;

How can a data governance program be successful if
(in response to Michelle Knight)
Hi thanks for the reply. This whole conversation has been thought
provoking. As I write this I am at 30k feet having just finished the
preface and chapter one to Aiken and Harbour's book, Data Strategy and the
Rise of the Enterprise Data Executive. The authors talk about "why" as
being the foundation of an organizations overall strategy. It is after
understanding the strategic needs of the org, beyond working groups and
tribal knowledge, that we can begin to ask the "what" and "how".

Specifically, the authors point to tool acquisition as a necessity in the
long term (as the life cycle matures). But often orgs acquire tools without
the discipline to use them.

Anyway, great talk by Robert Seiner, I appreciate his comments, your
comments and everyone who shared their thoughts on this thread.

Best

Jason

On Wed, Oct 23, 2019, 12:57 Michelle Knight <
[login to unmask email]> wrote:

>
>
>
>
>
>
> *This response was posted by Jason m Hare:*
>
>
>
> This was addressed in the webinar. The organization (and this has been true
> in my projects) should develop the strategy, the pillars that make up the
> data governance policies and fist ask the "why" (along with a series of
> problem statements on the current state) before choosing the tools. In the
> webinar, orgs start out with self-made tools but at a certain point, some
> software is necessary. Starting out with the software tends to create data
> governance around the tool rather than the tool supporting the data
> governance strategy. This is my own two cents.
>
> *Jason M. Hare*
> LinkedIn: https://www.linkedin.com/in/jhare/
> Skype: jason_hare
> +1 9193232767
> @jasonmhare
>
>
> On Sun, Oct 20, 2019 at 7:07 PM Ray Diaz, CBIP, CDP, CSM, ICP-ATF <
> [login to unmask email]> wrote:
>
> > Bob, thanks for the excellent presentation and the tools you provided. My
> > question is how can a data governance program be successful if there is a
> > good number of separate tools that need to be implemented, maintained,
> > updated and kept in sync?
> >
> > I'm asking the question because, I am seeing that medium to large
> > organizations have a huge number of metadata assets (glossary, technical
> > metadata, reports, systems, integrations + policies and standards...)
> that
> > need to be presented in some platform where hundreds to thousands of data
> > consumers can access the information so they obtain understanding to
> manage
> > data and obtain value. This platform needs to be continually updated to
> > keep it current so that the information is not stale.
> >
> > Without a enterprise capable Data Governance Suite or Platform, I cannot
> > understand how organizations can implement a success program using an
> > Office Suite, Sharepoint, a Data Quality toolset, and more cohesively.
> >
> > Your feedback is appreciated.
> >
> > -----End Original Message-----
> >
>
> -----End Original Message-----
>