The need for speed is real

A few years ago when I worked at PeopleSoft, we were marketing the concept of “real time” applications, the theory being that customers who could deliver in real time would have an edge on their competitors. The reality is that most applications still had some batch process, and that the real-time components only affected a part of the business process. It was aspirational, and it worked. Read more

Impact of Data Governance on Business Performance

I’ll be continuing the discussion started in my post Measuring data governance programs in which I highlighted four distinct categories of measurement that apply to data governance programs: level of policy compliance, level of data quality, impact on business performance, and performance of data governance processes. Driving the greatest return on the investment in data governance is dependent on transparency and ongoing assessment of its impact across these dimensions. Read more

Please Stop Trying to Come Up with a Single Enterprise Definition of Customer

Try this. Think back through all the data warehouse, MDM, BI and other assortment of data management projects that you’ve been involved in. Can you think of a case in which an entire enteprise adopted a single definition of customer? Or a single definition of product? Your project team might have put together a definition. But was the definition widely accepted? Read more

How to be the master of mastering your master data

In my last post, I discussed how important it is to be able to effectively model your master data. In this, the second in a series on the topic of master data, I want to discuss how you need to master it. By “master it,” I am referring to the workflow-driven process steps people go through to achieve clean, consistent, accurate and harmonized master data, and having the relevant technical capabilities to make this process work smoothly and efficiently. And by “people,” I mean everyone involved. Read more