The conclusion from my last post was that entity resolution can indeed exist as a product that can remain segregated from master data management (MDM). However, the benefit of integration with MDM is that its utilization is directly embedded within the MDM application, which reduces the level of expertise the
How many meetings have you been in where the technical personnel start talking about the database, sizing, storage, partitioning, indexes, staging, ETL, programs, operations or performance – and the business users in the group look perplexed? When you're meeting or gathering requirements with business users, "techno lingo" can sure make
Jim Harris recently penned an interesting article describing what happens to data quality at the top of the bell curve. The central theme of the article explains how, as we strive for greater levels of quality, we hit diminishing returns. For example, the cost of sending an engineer down a
In my two previous posts, I pondered whether unlimited data could limit data silos (i.e., whether offering users the enterprise data management equivalent of unlimited data streaming could curb their enthusiasm for creating data silos) or if streaming past the limits of unlimited data could create more data silos if users
In my last post, we explored the integration of entity resolution technology as a core component of a master data management (MDM) application, and I raised the question as to whether the rampant phase of acquisition and integration of entity resolution tools companies into MDM solutions providers implied that the
How many of you still use data modelers for projects? Well, there are quite a few companies that still use data modelers. In fact, a good data modeler is hard to come by for most consulting firms. I would never tell you that I am the BEST data modeler in the world,
Getting buy-in for data quality can be a real challenge, and a big part of the problem is the language barrier. If you’re on the data quality side, the financial and strategic terminology used by management may seem alien to you. Similarly, there is probably nothing more confusing to a
In this era of big data hype, it's easy to understand the hesitation of many organizations to take the plunge. Finding a signal in noisy petabytes of unstructured data isn't easy. Companies like Netflix, Amazon, Facebook, Twitter and Google that "do" big data well have spent hundreds of millions of dollars (or
My previous post pondered whether unlimited data could limit data silos, which was inspired by an extended disruption in the internet service provided by my local cable company. This provided me the opportunity to see just how unlimited the unlimited data plan on my smartphone really was. Ironically, shortly after my
Master data management is an application framework comprising a number of different information management practices and services. And the core of most party-oriented (e.g. customer/employee/vendor, etc.) master data management systems is some mechanism for entity resolution, which fundamentally is intended to identify connections between data instances that refer to the
