An event based log about a service offering
Category Archives: data governance
As expected, customer data quality remains at the top of list with regard to having the most issues. Ironically, this domain has been at the forefront of the data quality industry since its inception.
One reason for the proliferation of concerns about customer data quality could be its direct link to revenue generation.
Whatever the reason, this poll seems to indicate that services built around the improvement of customer data quality will be well founded.
Once again there are no surprises when looking at what data improvements are desired. Data owners seem to be interested in a centralized, synchronized, single view of their data, most notably customer.
The good news that can be gathered from these polls is that as an industry, data quality is focused on the right data and the right functionality. Most data quality solutions are built around the various aspects of customer data quality and ways to improve it so there is a master managed, single version of a customer. The bad news is we’ve had that focus for quite some time and data owners are still concerned.
In my opinion, this is due to the nature of customer data. Customer data is at the core of every business. It is constantly changing both in definition and scope, it is continuously used in new and complex ways, and it is the most valuable asset that an organization manages.
One thing not openly reflected in these polls is that it is likely that the same issues and concerns that are present in the customer domain are also present in the employee and contact domains. However, they tend not to “bubble up” to the top of list due to lack of linkage to revenue and profit.
I’d encourage comments and feedback on this post. If we all weigh in on topics like this, we can all learn something valuable. Please let me know your thoughts on the poll results, my interpretation of the results and opinions.
This year the IAIDQ, an international not-for-profit dedicated to developing the profession of Information Quality Management, is 5 years old and is having a series of rolling celebrations, the Blog Carnival “Festival del IDQ Bloggers” being one of the strands of those celebrations.
I am glad to be hosting the Festival del IDQ Bloggers this month! I’ve tried to capture the core of each message, but each of these is worth a deeper look. Don’t forget to follow the submission links and get all the details!
This month’s first submission comes to use from Daragh O Brien. Daragh poses an interesting question when he asks, Is information quality management a recession proof profession?
One clear take away from this post is that those who express the value proposition of an information quality initiative are more likely to be regarded as valuable and necessary. In that way those who participate in these initiatives can be thought of a recession proof.
About Daragh: Obsessive blogger, information quality consultant and Director of IAIDQ with over 12 years experience at the sharp end of Information Quality. Taoiseach (CEO) of Castlebridge Associates, a specialist Information Quality consulting business based in Ireland.
Continuing on a theme our second post comes to us from Dylan Jones and shows us How To Deliver A Compelling Data Quality Business Case.
Dylan recommends several excellent ways to build and deliver the value proposition such as:
- use time/date stamps to show information quality as a long term problem and not a short lived glitch
- use cause and affect analysis to link data quality issues with business process gaps
- review the annual report to gain insight into corporate strategies that can benefit from information quality services
- don’t use PowerPoint
- keep it simple to get the point across
About Dylan: Dylan is the founder and editor of the Data Quality Pro which is dedicated to “helping data quality professionals take their career or business to the next level.”
In this post Jim points out the difference between waiting to talk and what is called empathetic listening where we are actually listening with the intent to really try to understand the other person’s frame of reference.
About Jim: Jim Harris is an independent consultant, speaker, writer and blogger with over 15 years of professional services and application development experience in data quality. Obsessive-Compulsive Data Quality is an independent blog offering a vendor-neutral perspective on data quality.
In this post Steve points out that the executive team is responsible to lower risk and gain control through their influence on data governance. The following are a few of the question Steve suggestions:
- Do we have a data management strategy?
- Are we in compliance with all laws regarding our governance of data?
- Do you have the access to data you need?
About Steve: Steve Sarsfield is a data quality evangelist and author of the book the Data Governance Imperative.
Finally in Sweden meets United States a post from Henrik Liliendahl Sørensen on data matching and how character sets, address formats and naming conventions are just a few of the complexities when the data originates in a different language. Maybe, as he suggests, centralized reference data is a step in the right direction to solving some of these issues?
I hope you enjoyed this month’s edition of the blog carnival! I want to thank all those who’ve submitted postings and encourage those who have not done so yet to participate in this opportunity.