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What's up with roles in data management?

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Confusion
Many requests reach my employer for help in the area of Data Management, Information Management, Business Intelligence (BI), Business Information Management (BIM), Information Architecture, Data Architecture and related roles. Also, there are a good amount of jobs available in these area’s. But when you ask twelve people to explain these specialisms, unfortunately, at least thirteen different answers come back.

There is no unambiguous understanding about the parts that have to be acted in roles like Information Manager, Data Architect, Data Manager, (business) Data Steward, Architect, Data Warehouse Architect, Data Architect and even Chief Information Officer. I think it can come across as quite immature to non-IT people (as well as to some IT people) that, apparently, we are not able to build and communicate a simple function matrix.

From my own experience, here are some examples of big differences of opinion. Take for example the “Information Manager”. While one team manager…

Data Fitness

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In our perpetual fence match to improve Data Quality with arguments, the riposte is often vague and suspected false. The given reasons for parties to counter our initiatives on quality, often are not the real reasons. "Gut feeling" and belief are man's guides when something is difficult to comprehend.

I truly think this is a fact of life and we will have to deal with it. Even if a positive ROI for a DQ initiative can be easily made, we are baffled with amazing counter arguments. I can think of no other explanation than that the term 'Data Quality' has an image issue. And I think it's not the 'Data' part that gives the old-fashioned, scruffy librarian feeling, I think it is the 'Quality' part.

Quality is a neutral word but it has a connotation of difficulty and idealism. If someone speaks of 'Quality', usually the word 'issue' or 'problem' is nearby in the sentence. As with 'Architecture', 'Quality' sound…

Data quality awareness at C-level

In the Linked-In discussion group, C. Lwanga Yonke asks why it is so hard for C-level executives to understand the strategic importance of quality data? See (if you can on LinkedIn) the discussion here.

My reaction is as follows.

Data quality, funny, the combination of these two words feel like "car quality". I think the C-level has to assume that data the organisation owns and uses is fit for purpose. Just as a car is fit for driving. There is no reason to take measures or to even doubt the fitness for purpose until the "car refuses to stop on the highway". And then even that appears to be a hoax.

In my opinion, as the solution for effects of poor data quality is in the improvement of processes (anyone doubts?), you simply have to decide on what 'quality level' your organisation is going to be. The quality the organisation embeds in it's culture is the quality that will be reflected in the data.

I can not imagine a C-level executive of a company with a &#…

Informatica neemt MDM leverancier Siperian over

Informatica heeft een leemte in haar productaanbod ingevuld door overname van Siperian.

De toolset van Informatica maakte het weliswaar mogelijk om Master Data Management toe te passen maar er was geen oplossing die, uitgaande van de MDM principes een oplossing bood voor het regelen van de "infrastructuur" van het 'Golden record'. Met PowerCenter kon men wel de Data-integratie doen om datastromen heen en weer te laten lopen maar een geïntegreerd systeem om synchronisatie aan kwaliteit van gegevens te koppelen was er niet.
Informatica doet hier een hele goede zet, de vraag naar dit soort producten zal in de nabije toekomst hoog blijken te zijn.

Informatica is groot in dataintegratie, vooral in de US en relatief groot in de Benelux. Master data management is in Europa lang minder van belang geweest dan in de US omdat daar vanuit regelgeving eisen gesteld werden aan de kwaliteit van de gegevenshuishouding. Nu komt daar door onder andere Europese regels, de behoefte aan gri…