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Lack of Centralized Approach Hurting Data Quality


The prevalence of inaccurate data means organizations are struggling to meet strategic goals, according to a new report from Experian Data Quality, a part of Experian Marketing Services and a provider of contact data management software and services.

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Comments (2)
I'm not sure that "lack of centralization" is the underlying issue here (Indeed, a distributed and end-user oriented approach to Data Quality Management can be desirable, as it means the knowledge and expertise is maintained as close to point-of-use as possible (e.g. as per the approach to DQ currently being championed by QFire, http://www.qfiresoftware.com.au/ )

I'd suggest the challenge is generally more down to "lack of a structured approach".

I observe two trends in business, that have been consistent in the twenty-plus years that I've been working:

1) Human activity has become more and more complex. We're living in a mobile, connected, graphical, multi-tasking, object-oriented, cloud-serviced world, and the rate at which we're collecting data is showing no sign of abatement (I examined this in my post "Opening Pandora's Box": http://www.informationaction.blogspot.com.au/2013/12/opening-pandoras-box.html )

2) Left to their own devices, business systems and processes will tend to decay towards a chaotic state over time, and it is management's role to keep injecting focus and energy into the organsiation (I covered this in my post Business Entropy - Bringing Order to the Chaos": http://www.informationaction.blogspot.com.au/2014/01/business-entropy-bringing-order-to-chaos.html )

Add the long-standing preoccupation that management consultants have with mapping "Business Process" rather than mapping "Business Data" and you end up in the situation that data does not get nearly enough attention (and once attention IS payed, then the skills and capabilities to do something about it are often lacking).

Change the mindset, change the result - that doesn't necessitate centralisation to make it mappen.

Posted by Alan D | Wednesday, January 22 2014 at 6:55PM ET
Lack of centralization approach is essential to have the Managing Data Quality at the highest maturity level within an organization. It is not the the reason for not having the good quality data, however, as mentioned by Alan, It is caused by not having an structured approach towards the data quality.

Moreover, improving data quality is essential to have policies are implemented at organization level and at the source of data creation. Considering there are number of channels and different devices, this is a challenge and dedicated effort from organization and management is needed.

Arun K Singh

Posted by Arun S | Monday, January 27 2014 at 3:44AM ET
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