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    The First Step to Data Improvement

    The first step to improving the value of your data is to diagnose the problems that exist within the actual data as well as in its surrounding environment.  This essential step will prevent your organization from wasting time, money and the opportunity to achieve a competitive advantage.  Instead of solely looking for an easy solution like so many other organizations, it’s time for your business to take a step beyond what its competition is doing.

    The reality is that no organization is alike.  They are actually unique in random and odd ways, which means the “standard patterns” that most data consulting firms try to force everyone into often results in an organization actually losing competitive advantage by moving them closer to the average.  Given this outcome, it is incredibly unwise to assume the easy solutions provided by these firms will fix anything in the organization.  In fact, our experience shows that these “easy” techniques create even more data problems than currently exist.  They actually aggravate your data problems instead of solve them.

    To prevent this from happening, the most critical thing that a business leader can do is to conduct a study on where the organization is with respect to people, technology and its process for data.  This isn’t much different than a physician who use studies to test and understand how something is working, discover where the disease exists, and then establish a treatment plan.  This actually isn’t a new concept in data either – in fact, it has been borrowed from almost every organizational or business excellence playbook out there.

    Many consulting practices and software vendors have designed “maturity models” that allow one or two people from an organization to gauge how bad or good the organization is.  The ironic thing is that their “maturity model” as a concept is so scientifically inaccurate and without a factual basis that it is obvious the incentive structures on both sides of the equation are erroneous.

    Software and consulting vendors provide this basic maturity model, which has low integrity and low statistical significance but with just enough analysis to make the results just ambiguous enough to justify spending big money on their services or software.  In actuality, a great baseline study should use the collective knowledge of the whole data community — all those that touch, use, consume, create, own data — to determine if the organization is indeed good or bad, and in what specific areas of capabilities they might be lacking.

    This is a unique differentiation that Data Clairvoyance brings to the table, in that the fact-based study we conduct for our clients is a stand-alone service that offers only one objective – to gain a first hand understanding of how data exists, operates, moves and is thought of within your organization.

    Over the past seven years, we have designed a rigorous analytical method to capture many samples represented across your organization to provide a series of data intelligence reports, dashboards and analytics to pinpoint exactly what needs to be improved in order to achieve the goals of your organization.

    For more information about how Data Clairvoyant’s studies can provide your organization with the results it needs to understand its data and how it can help you achieve its goals, click the button below now.