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by Tom

How fast can you set-up a working Data Govenance Framework?

Januar 3, 2011 in Financial Services, Investment Banking, Private Banking, Success Stories

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Many organizations which have lived through data quality pains – really suffer from a data governance issue. And there are not many organizations in the large to global scale out there, that can claim not to have any data quality issues. So how fast can you, in the best of circumstances, really establish a working data governance, that i turn has a lasting positive effect on your data quality?

We have led many clients through the process of establishing a working data governance framework and what seems to be unique to most of them, is the lack of ownership for data items that are not directly linked to revenues, performance and success. While it is easy to nail down owners for clients, for profit-centers or for contracts, it is far more challenging to find the responsible person or organizational unit that owns a company’s more generic data items like organizational structure, product catalogue or business calendar. How can you go about these precious, little obstacles?

  • One takes them all – the seemingly easiest way is to define one person or unit, that is responsible for all of these generic items – let’s call them shared data – and owns all of the quality responsibility for the same. In order to successfully incentivize that unit, you need to tie their overall objectives and performance into the more visible success measures, be that revenues, turn-over or client count. Only by instilling that direct link will you underline the importance of data quality for non-strategic (or generic) data objects.
  • All take one – the opposite approach is to link one “community job” to each strategic data item, thus spreading out the maintenance and quality job for the shared data items to a number of well-liked and sought after objects. So whoever takes the client, has to take the business calendar along. Since every governing unit already has a direct revenue link, you don’t have to go through the additional exercise of installing a dedicated incentivation layer.

And how fast is this realistically implemented? I have seen global organizations setting up a new data governance and living the same within three months, including the build-up and usage of an entire master data management framework across three countries. And I also have seen medium sized firms taking two years and not getting the new data governance even settled and decided. So to my experience it’s mostly about the speed in which companies decide that also determines their ability to execute.

What do you think and what have you seen in your companies? Let us know…

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by Tom

Should IT be involved at all?

November 6, 2009 in Financial Services, Tales of Tools

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In his recent post about the alignment of Business & IT senior Informatica Perspective blogger John Schmidt asks the rethorical question whether Business (as a role or organization) needs to be involved in IT decision making & implementation of IT projects. It’s a very worthwhile piece asking the right questions and defending an obvious yet somewhat outdated point of view…

The real question in terms of data integration, business intelligence and making smart use of existing information assets is: Does IT still need to be involved?

And that is not a rethorical question at all! Many of Informatica’s competitors in the integration and BI space actually have started to put that blunt thesis to the test. Why can’t we look at IT as the enabler and catalyst but turn over the execution into the same hands that are held accountable for a company’s success or failure?

Pampering Business

Pampering Business

“Their time’s too valueable”, some say – my answer would be that there is no time saved when you have to iterate your requirements n times, specify them to the n-th degree and find out in testing, that they are only partially met.

“They don’t have the skills”, others counter – that is true if you have to be a J2EE crack to integrate or know cryptic and proprietory languages in order to produce your reports and business intelligence solutions.

“They can’t architect on a strategic level”, comes at last – and that might be the fact closest to the truth, however how many long-term application & business architecture masterpieces have you seen drafted, implemented and survive. Even in the best of my experiences these success stories have been overthrown by fundamental changes in the business model or by economic upheavel just as often as not.

For both the IT as well as the business decision makers this paradigm shift holds a lot of promise:

  • Being involved one level deeper into the concrete implementations Business needs to think
    and IT needs to develop solutions on a more generic (and thus more strategic) baseline
  • IT can become a catalyst and focus its time and energy on truely game-changing innovations
  • Business can be empowered to change the rules in their business game very fast and flexible
  • Both parties can share their burden in the maintenance and pampering of existing solutions
  • The run-the-boat versus change-the-boat ratio will improve

Are there examples out there that did just that, you might ask. Yes, there are – I know at least a few in the integration and business intelligence space.If you know some as well, be as kind as to share them with us.

So be brave enough, whether IT or Business stakeholder and hold out that paradigm to say – IT does not need to be involved.

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by Tom

Prototype Bonanza

April 27, 2009 in Active Business Intelligence

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When the sweat starts running down the users face instead of the developers, that’s when we’ve achieved agile development. This progressive statement might sound funny but it actually shows some truth when operating with rapid prototyping and iterative approximative specifications. You’ll have to start worrying more about the availability and airtime of the business experts than about development cycles and config lead times.

When we prototyped a particularly framework and rule-based BI application for large Private Bank the understanding of the rules results and the interpretation of the reporting actually was more complex than putting the puzzlepieces of the framework together. Which in turn leads us to the next conclusion:

Instead of outsourcing the coding and development of BI applications we should consider to source the interpretation of data, the creation of the correct business rules for distinct use cases or the derivation of new business insights as managed services.

Maybe we can even outsource the fullfillment of the most bothersome KPI targets or our annual MbO objectives…

Come to think…we’ve almost been agile enough for today.

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