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Jill Dyché

There you are! What took you so long? This is my blog and it's about YOU.

Yes, you. Or at least it's about your company. Or people you work with in your company. Or people at other companies that are a lot like you. Or people at other companies that you'd rather not resemble at all. Or it's about your competitors and what they're doing, and whether you're doing it better. You get the idea. There's a swarm of swamis, shrinks, and gurus out there already, but I'm just a consultant who works with lots of clients, and the dirty little secret - shhh! - is my clients share a lot of the same challenges around data management, data governance, and data integration. Many of their stories are universal, and that's where you come in.

I'm hoping you'll pour a cup of tea (if this were another Web site, it would be a tumbler of single-malt, but never mind), open the blog, read a little bit and go, "Jeez, that sounds just like me." Or not. Either way, welcome on in. It really is all about you.

About the author >

Jill is a partner co-founder of Baseline Consulting, a technology and management consulting firm specializing in data integration and business analytics. Jill is the author of three acclaimed business books, the latest of which is Customer Data Integration: Reaching a Single Version of the Truth, co-authored with Evan Levy. Her blog, Inside the Biz, focuses on the business value of IT.

Editor's Note: More articles and resources are available in Jill's BeyeNETWORK Expert Channel. Be sure to visit today!


By Andy Field, Senior Consultant


Car Full of Passengers by brightroyalty (via Flickr Creative Commons)

Imagine a large family with many teenagers and one car. It’s Friday night, the parents are out of town, and the teenagers have plans in different parts of the city.   On top of this, everyone is broke and the car is out of gas.   This situation has been coming up more and more over the last few years.   Over time some of the kids get jobs and buy their own cars, trucks, motorcycles to get around.   They don’t figure in the cost of insurance, repairs, maintenance, or parking.     In retrospect they realize they can’t afford to keep this up and some of the vehicles, especially the motorcycles, just don’t meet their needs when, say, the weather gets bad.

If you can envision this   then you have a pretty good idea of what occurs in many companies that have not implemented a data governance program.   There is no common data warehouse platform, let alone other shared data assets, costs are out of control and there is no room to grow. And there are no formal ways of making or delegating decisions. Things go from bad to worse.

What if the kids got together and met with their parents to lay out their transportation needs in advance?   They may figure out that if they had two cars and a truck, instead of one reliable car, an old clunker, a beat up pickup and two motorcycles that 90 percent of their needs would be met over the foreseeable future at half the cost.   The parents and kids could also lay out who is in charge in their absence and how conflicting needs are to be resolved and gas costs shared.   With the savings over the current situation some money could be put in a pot for a taxi or rental fund when there is an extraordinary need for transportation.

Hopefully you can appreciate what a sound data governance program can do for your company.   It may substantively end years of organizational friction, bringing with it the inherent benefits of a collaborative work environment while reducing costs and improving information accessibility and delivery for everyone to help address business opportunities. The question is: are you ready?

Data governance is an essential component of an overall Enterprise Information Management program.   It provides the forum and processes for making all significant organizational and policy decisions with respect to how data is managed in the enterprise.   It includes formalizing decision processes around privacy, security, and accessibility of corporate information. It enforces accountability at the business level, specifically among subject matter experts, key business users, and data stewards. And it sanctions standards around products, customers, and other master data.    

Data governance is difficult, often broad in scope, and requires a structured process to get right. Data governance is typically deployed incrementally to address issues that span functional, project and geographic boundaries.   For local decisions where the scope of the data decision will only impact one project the data decisions may be limited to a subset of data constituents (though sanctioned by the data governance council).   At the other end of the spectrum when decisions need to be made that may have serious consequences to the brand perception of the company (such as privacy policies)   then executive input is required to balance the perspectives of individuals directly representing this leadership such as legal (General Counsel), marketing (Vice President), operations (COO) and IT (CIO).

So if your company reminds you of the family described in this blog post there may be a better path to family harmony through the implementation of data governance.   Understanding that data governance can involve the whole ”family” with benefits for all who use information in their jobs is key to ensuring that the right constituents and scope are considered when planning its long-term deployment. Maybe 2010 is the year you’ll get started. Good luck on your journey!

photo by brightroyalty via Flickr (Creative Commons License)



AndyField_bw Andy Field has been involved in information management activities for over thirty years in both the private and public sectors internationally and domestically. He has held senior leadership positions accountable for establishing Enterprise Information Management practices in several organizations, including Fortune 500 companies. Andy has also consulted with clients from many industries and government sectors over the years and established and ran as president a consulting firm specializing in strategic information systems planning. He has broad experience in both operational and data warehouse projects from both a hands on and leadership perspective. Andy is currently a consultant specializing in Enterprise Information Management.

Posted January 7, 2010 10:07 AM
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