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So here it is. Unfortunately, most organisations lack an Enterprise Wide Data Model. Worse still, there is often little appreciation among senior management of the need for an Enterprise wide Data Model.
Impact: The absence of a Enterprise wide Data Model makes it difficult for even technical experts to locate data. The data model would distinguish between Master data and replicas, and would clarify whether the data in the model is currently in place, or planned for.
Without an Enterprise Wide Data Model, data dependent projects e. New projects dependent on existing data take longer than necessary to complete, and face serious risk of failure. An Enterprise wide Data Model will be developed covering critical Enterprise wide data, in accordance with industry best practice.
One notable exception to the norm: This is not a plug for IBM…. I forsee a future in which all financial services organisations will use the same data model, including Financial Regulator s. The lack of an Enterprise Wide Data Model is just one of the many data governance issues that affect organisations today.
Did you build it from scratch, or start with a vendor supplied model? Please share your experience. Good post Ken. I am actually also at the moment involved in a Data Management initiative where we work on a common data model. This is within public transportation where we have great success in using an industry conceptual data model called Transmodel. Every industry has its own master data with its own labels. In public transportation we have persons in roles as passengers and drivers, we have vehicles, timetables, stop points, services and so on, all reflections of the real world.
I think this is one of the most underutilised activities as it provides benefits across so many different IT and business initiatives. I use them a great deal in data migration projects as we introduce a common model at the starting point to enable discussion.
Particularly when the targets model is poorly defined it really helps us to move forward. Hi Ken, good and clear posting, than you for that. I wonder where you all have your metaphors from. I like that skill. My goal is to integrate the sales side into it, which, from a logical point, shall be no real issue, because sale is just the other side of risk, and at least all master data objects are already modeled.
In a previous life I was responsible for defining the Customer Data Model for a large company. I pushed to get this part of the project started early in the programme.
IT wanted to leave it until the final phase, with the Data Migration from legacy sources to this new target needing to be done in that same phase. When the Business-side team I lead started on my start-date, we had limited IT support.
When we returned to CEIM a few weeks later to review 26 new requirements that had arrived we found that 25 of them were met by the model base data changes only and 1 required technology not yet invented.
Unfortunately by the time we came to start moving data into CEIM, IT has spent our database physicalization and data migration budgets on front-end system changes due to scope creep. Is this a proprietary project, or public domain? Is there a link to more details? Dylan, thanks for the link to TMForum. Rayk, glad you like the metaphors. Interesting to hear about the resistance from IT to developing an Enterprise Wide data model.
It appears you succeeded without them. Sorry to hear that IT spent all the budget before full benefits could be realised. In time, all organisations within your industry will use the standard model — your organisation is at risk of being left behind. Ken, we were not using a industry template.
By then the Basel II related offerings by SAP were not of sufficient use to us, so we started with the development of our own model. For the IT resistance I may blame myself. We failed. For now I see it as part of my Data Governance job to re-establish the working with such a enterprise wide model, and to use it to design IT systems.
Enterprise modeling efforts often take too long, go into too much detail, and become too costly. From Krishna Guda I tend to agree with Scott, enterprise data models is an expensive affair as much costlier than Enterprise Architecture efforts.
CIO may not be held accountable for these things all the time as invariably teams create applications and adopt tools which hit the master data of the organization. You are commenting using your WordPress.
You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account. Notify me of new comments via email. Notify me of new posts via email. Time to sing from the same hymn sheet. Share this: Facebook Twitter Print. Like this: Like Loading Best regards Rayk. Wish me luck! Leave a Reply Cancel reply Enter your comment here Please log in using one of these methods to post your comment:.
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So here it is. Unfortunately, most organisations lack an Enterprise Wide Data Model. Worse still, there is often little appreciation among senior management of the need for an Enterprise wide Data Model. Impact: The absence of a Enterprise wide Data Model makes it difficult for even technical experts to locate data. The data model would distinguish between Master data and replicas, and would clarify whether the data in the model is currently in place, or planned for. Without an Enterprise Wide Data Model, data dependent projects e.
Advances in Banking Transformation using BIAN and IBM Industry Models
Information FrameWork IFW is an enterprise architecture framework , populated with a comprehensive set of banking specific business models. It was developed as an alternative to the Zachman Framework by Roger Evernden. The banking specific business models represent good practice in banking and is a natural extension to the Component Business Model. The IFW business models describe the business of the bank and are an efficient communication bridge between business and technology communities.