Data Quality – The Inadvertent Oxymoron


It boggles my mind.

How can a unit/team/group have processes that either flat-out cause data quality problems or enable them by turning a blind eye, yet have budget and resources assigned to fixing up the mess after the fact? How can a phenomenon such as this occur? Is it because the organization is new at Data Quality and their idea of resolving it is to apply re-active fixes because they don’t know any better? I DON’T THINK SO!

I think they know better. I think they know better but they also know that resolving it will require Data Governance which means organizational change. Big Change. And discomfort. Big discomfort.

So here is my question then. How can our leaders, strategists, financial analysts and auditors present their budget figures for the year and get approval for this inadvertent Oxymoron of processes?

Just sayin…

2 thoughts on “Data Quality – The Inadvertent Oxymoron

  1. Dylan Jones

    Great post Jill.

    A big problem here is power. Most managers are defined by the size of their team. If someone says, hang on, we need to cut the labour assigned to cleaning this mess up then ultimately that affects the status quo.

    Another problem is that every project needs an owner and a lot of senior managers just don’t want ownership of this problem, it’s often vague, never-ending, under-resourced, new and politically risky to one’s career.

    In our recent webinar on Telecoms, we heard of a department that had 600 staff manually resolving billing and other data related anomalies, the scale of the waste in these industries is vast but until people like yourself are prepared to stand up and make a stand we’re in for a long drawn out battle!

  2. sheezaredhead Post author

    Thanks for your awesome comments Dylan. I agree! Power, fear of risk taking, waste. These are things that continue to hound us because of the management vs. leadership mindset. This mindset also enables the siloes that proliferate within the organizations because thinking corporately usually means loss of control to them.
    I say maybe it’s a risk, but I’d rather do something risky knowing that it’s what’s best for the organization and that I get to learn something new at the same time! How awesome does that sound? 😀


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