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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 with Baseline Consulting, a data integration and business intelligence (BI) services firm. She is an internationally recognized speaker and writer on the topic of the business value of technology, and has been featured in the Wall Street Journal, CIO Magazine, Intelligent Enterprise and Newsweek.com. Jill leads the Customer Data Integration, Master Data Management and Data Governance channel for the BeyeNETWORK, and blogs regularly on those and other IT-related topics. She is the author of two acclaimed books, e-Data, which introduced enterprise data to business executives, and The CRM Handbook, which was the best-selling book on the topic of customer relationship management. Her latest book, Customer Data Integration: Reaching a Single Version of the Truth – co-authored by Baseline Partner Evan Levy – was recently published by John Wiley & Sons.

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

In which Hillary and Barack make the case for electronic medical records, and unwittingly pitch the inherent efficiencies of data integration.

This isn't a partisan blog. I've been watching both the Democratic and Republican debates, and there are lessons for business all 'round. But there aren't always lucid links between politics and data.

So I was particularly rapt during last week's Democratic Clinton-Obama debate at L.A.'s Kodak Theater (not co-incidently the home of American Idol, another popular circus), when our old friend Wolf Blitzer raised the topic of health care, speculating on how potential reforms would be funded. In her characteristic earnest and prepared style, Hillary Clinton advocated electronic medical records (EMRs) as one of the ways of paying for reform. She said:

If we had electronic medical records, according to RAND Corporation -- hardly a bastion of liberal thinking (audience laughter)--they have said we would save $77 billion a year. That money can be put into prevention. It could be put into chronic care management. It can be put into making sure that our health care system has enough access so that if you are in a rural community somewhere in California or somewhere in Tennessee or somewhere in Georgia, you'll have access to health care.... So we can begin to be more effective and more sensible about how we cover everybody, and use the money from the top-end tax cuts and from modernizing the system.

Say what you will about Hillary, what's interesting is the way she made the push for EMRs as a way to gain efficiencies, provide greater access, and cut costs. So many of us are making the case for integrating data that rests in silos (and on paper) in our organizations and we've gotten pretty good at discussing the hows of integrating data--be it customer contact information, product calalog data, or patient medical records--but not the whys. While steering clear of the privacy and skilled labor conversations that inevitably accompany discussions of EMRs, Hillary did justice to justifying data integration.

As did Barack, also well-informed about the potential payback of consolidating patient records. But Obama changed it up, and literally: he advocated the need for change management in deploying EMRs, saying:

That's why in either of our plans...you know...if we want to invest in electronic medical records, then we have got to go to rural hospitals who might not be able to afford it and say, we're going to help you buy the computer software and the machinery to make sure that this works. But that investment will pay huge dividends over the long term, and the place where it will pay the biggest dividends is in Medicare and Medicaid.

Any data integration effort is difficult, skill-intensive, and time-consuming. It requires careful planning and rigorous payback analysis. But the two remaining Democratic candidates captured the crux of the data integration challenge in their EMR advocacy by making the critical point: it's worth the effort.

Coda: For those of you who want equal time for the GOP, I watch those debates, too, so stay tuned!

Technorati tags: Hillary Clinton, Barack Obama, Democratic debates, data integration


Posted February 2, 2008 7:37 PM
Permalink | 3 Comments |

3 Comments

American Politics on Drugs?

Hello Jill,

The life of a politician is not always easy. You can’t know all about everything. But still you have to have an answer ready for all kinds of questions. That is why it is always nice to have a team behind you to tell you what to say.

Part of the job of being a good candidate, and both Hillary and Obama are good candidates, is to learn these answers by hard. This is not easy because there are a lot of question out there. But the real problem for the politicians, as is for BI professionals, is to give answers to questions that not quite fit the prepared answers. Then they have to combine different information they learned by hard. In other words: ‘integrating a lot of data‘. That to me is the real link between politics and data integration.

On a more serious note: I’m currently active in the insurance world. Politicians can say all they want to say, but the real responsibility for the data integration will have to come from those parties that benefit the most from the data integration. (In this case the insurance companies). Experience learns me that getting these companies to move is not easy. But I agree with you: it’s worth the effort.

Guido Treur

Hello Jill. Do you have any reference about the definition for a HR master data management?.I know that CDI and PDI are the most populars =)
Best Regards

Mario:

Well HR Master Data Management is really coming along! Data issues like employee/party reconciliation, organizational hierarchies, and territory and account masters all come into play. We worked with one client who used HR MDM to ensure that assigned salespeople to territories. When a salesperson resigned, all the systems where that employee record existed were updated. This was a technology vendor, and all the of the organizations understood who the sales person's customers were re-assigned to after he resigned. The MDM hub could keep track of that employee "master record" across all systems. Nice, eh?

Good luck with your HR MDM. The bigger and more geographically dispersed your company, the more important it is!

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