A recent blog post on DataMentors discussed about house holding – a process of grouping related customer records. House holding is one of the most prominent aspects of selling by many industries today.
Over the years, I have worked with many customers to help deliver successful MDM projects. It’s immensely entertaining to be involved with clients directly, working with them on a day-to-day basis and help solve their data quality issues. Read more →
Today’s Big Data conversation inevitably includes references to volume, disparity and complexity. Often lost in this discussion is the implication for the ultimate decision. Particularly for larger organizations, Big Data challenges amount to complex decisions that eventually impede performance. Read more →
Most of us working in this area of information management know that MDM implementations have a high failure rate. According to a study, only 24% MDM programs end successfully. There are many reasons why these projects sink or don’t deliver what was initially promised. Read more →
I hosted a twitter chat on 23rd of July on the topic of Data Credibility. If you missed this great twitter chat, here is a quick analysis and some of the highlights. Read more →
Retail has been a subject dear to my heart since I started my career. Partly due to my early involvement with this industry as a consultant, I like the challenges and opportunities it brings when it comes to data and analytics. Read more →
Recently, there’s been a great deal of discussion within the information management industry about data quality. This discussion has gone beyond simply talking about what data quality means, to cover the potential consequences of poor data quality in operational and analytical environments. Read more →
Data matching of party data is at the heart of a MDM implementation. De-duplication process as we know it, is a key activity in MDM and brings tons of challenges. One of the major dilemmas is to recognize correct matching technique to use for a given scenario. Read more →