I want to create a new series on The Data Roundtable that focuses on providing practical tips for improving data quality. Consistency is a key dimension often referred to in data quality practitioner circles. This refers to a rule where data must be consistent between two locations. For example, if
When you hear the term “business rules,” what comes to mind? Some examples would be constraints in a query, a data mapping, a data quality constraint, a data transformation, a model or an algebraic equation. It can also be a policy that must be enforced as part of a business
Netflix has been on quite the run over the last year. Its stock has exploded as its customer base nears 40 million. What's more, the company has positioned itself well with highly regarded original content and a strong foothold in the streaming business. Despite its success, complacent is not a
For decades, data quality experts have been telling us poor quality is bad for our data, bad for our decisions, bad for our business and just plain all around bad, bad, bad – did I already mention it’s bad? So why does poor data quality continue to exist and persist?
The challenge of data/information management practitioners attempting to initiate an analytics program intended to benefit a target audience is that after the analysis is completed, there is no control over how the results are used, or if those results are used at all. In my last post, we considered modeling
How do we, as IT (information technology), interact with the business? This is where I see companies failing quite a bit lately. We just can’t seem to create a good way of communicating with the business people. The business people don’t quite understand IT processes, and we (IT) don’t understand why they
We’re in the process of trying to find a builder to complete an extension on our home. My "project" is five years overdue, behind budget and struggling with supplier issues. What is interesting is that every builder we interview for the new build brings his own frame of reference to the
Fifteen years ago, updating a website required knowledge of HTML. Now, many content management systems like WordPress, Tumblr and Joomla merely require knowledge of WYSIWYG tools like Microsoft Word. So, will the same thing happen with big data? I hesitate to say that everyone will need to learn data-related skills. I
I have previously compared data visualizations to the magic mirrors of business intended to reflect what you need to see, such as true business insights, but which, because of how our eyes process data, may just be reflecting back your own image of what you want your data to show
Instituting an analytics program in which actionable insight is delivered to a business consumer will be successful if those consumers are aware of what they need to do to improve their processes and reap the benefits. As we have explored over the past few posts, success in the use of
