State of this Data Quality Blog

Today is a big day on this blog as it has been live for 3 years.

Success versus Failure

The first entry called Qualities of Data Architecture was a promise to talk about data quality success stories. The reason for emphasizing on success stories related to data quality is a feeling that data quality improvement is too often promoted by horror stories telling about how bad your business may go if you don’t pay attention to data quality.

The problem is that stories about failure usually aren’t taken too seriously. Jim Harris recently had a very good take on that in the post Data Quality and Chicken Little Syndrome.

So, I plan to tell even more success stories along with the inevitable stories about failure that so easily and obviously could have been avoided.

Getting Social

Using social networks to promote your blogging is quite natural.

At the same time social networks has emerged as new source in doing master data management (I call this Social MDM).

Exploring this new discipline over the hype peak, down through the valley of disappointment and up to the plateau of productivity will for sure be a recurring subject on this blog.

People, Processes and Technology

Sometimes you see a statement like “Data Quality is not about technology, it’s all about people”.

Well, most things we can’t solve easily are not just about one thing. In my eyes the old cliché about addressing people, processes and technology surely also relates to getting data quality right.

There are many good blogs around about people and processes. On this blog I’ll try to tell about my comfort zone being technology without forgetting people and processes.

The Hidden Agenda

Most people blogging are doing this to promote our (employers) expertise, services and tools and I am not different.

Lately I have written a lot about a second to none cloud based service for upstream data quality prevention. The wonder is called instant Data Quality.

While upstream prevention is the best approach to data quality still a lot of work must be done every day in downstream cleansing as told in the post Top 5 Reasons for Downstream Cleansing.

As I’m also working with a new stellar cloud based platform for data quality improvement productivity I will for sure share some props for that in the near future.

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6 thoughts on “State of this Data Quality Blog

  1. Dylan Jones 21st June 2012 / 12:49

    Congratulations on reaching the big 3!

    It’s been fascinating to see the data quality blogging universe expand from a handful of blogs back in 2008/9 to what it is today.

    I truly believe that blogs like this have helped organisations to open up, share new ideas and understand more deeply what data quality means to them and how explore where they can get started. Communication is the vehicle for change and there have been some fantastic discussions on this site.

    Here’s to the next 3 years 🙂

    PS. How about a birthday party in London sometime, just a thought…

    • Henrik Liliendahl Sørensen 21st June 2012 / 13:00

      Thanks a million Dylan. Oh yes, birthday party in London (I have always used the excuse that no one comes around Copenhagen).

  2. vishagashe 21st June 2012 / 13:22

    Congratulations on your third year anniversary. I always enjoyed your blog.

    Good luck with your new venture.


  3. Rich Murnane 21st June 2012 / 14:51

    “Happy Birthday” to your blog Henrik, we continue to love reading your posts!

    One of your biggest fans…Rich

  4. Jim Harris 21st June 2012 / 15:07

    Happy Third Blogiversary Henrik!

    Your blog has consistently been a great source of insight about data quality and MDM topics, and not only with traditional approaches to these disciplines, since you have also been leading the discussions about the new opportunities in cloud computing, social media, and big data.

    Thanks and Best Regards,


  5. Henrik Liliendahl Sørensen 21st June 2012 / 19:10

    Thank you so much Vish, Rich and Jim.

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