Periodic synchronization of your master data environment presumes batching up new entries to be processed all at once. Full synchronization means that any new entity brought into one of the enterprise systems will immediately be added to the master index. There are benefits and drawbacks to both of these approaches,
When extolling the virtues of data quality, particularly to a leadership community, it pays to focus not just on the corporate gains but also the personal benefits that better quality data can offer. Improving data quality can often be a thankless task. You make changes to a resource that many
Data matters more than ever. Progressive organizations such as Netflix, the University of Texas System and others are using contemporary data visualization tools to find the signal in the noise that is big data. Dataphobes won't be able to hide for much longer. These facts were very much on my mind as
The planning and execution of enterprise information initiatives is definitely not easy. Building the business case involves identifying, documenting, verifying and refining a set of requirements that are representative of the various perspectives of the business and technical stakeholders all throughout the organization. Many such initiatives begin with the very
What really happens when a new entity is added to a master data environment? First of all, this is only done when it is determined that the entity is not already known to exist within the system. Abstractly, a significant amount of the process involves adding the new entity into
One of the key principles of W.Edwards Deming in his drive for greater quality in the US manufacturing industry was: “Cease dependence on inspection to achieve quality. Eliminate the need for massive inspection by building quality into the product in the first place.” Quality purists will repeatedly quote this principle
There's been no shortage of eye-opening mergers and acquisitions activity in the news lately. Tumblr might have been the trojan horse of the more recent and expensive M&A activity; OcculusVR, Nest and Whatsapp have made many Wall Street "experts" ask the bubble question. With all this activity, one has to wonder if
My previous post made the point that it’s not a matter of whether it is good for you to use samples, but how good the sample you are using is. The comments on that post raised two different, and valid, perspectives about sampling. These viewpoints reflected two different use cases for data,
In my last post, I introduced a number of questions that might be raised during a master data integration project, and I suggested that the underlying subtext of synchronization lay at the core of each of those issues. It is worth considering an example of an application to illustrate those
Data migration projects are really a lesson in gap management. We are effectively building a complex web of technology and understanding to bridge the gulf between the legacy world and the target world. Most of the gap management in data migration revolves around solving data quality and mapping issues. We
