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 →
In the past few years, we have gone from slightly superficial knowledge of technologies to an abundance of technological innovations. Each of these technology trends have made things we only imagined into a reality. Read more →
Thank You and a Very Happy New Year to all my readers.
2013 was an amazing year. Lots of good things happened as I continue to strive to be a better person both in my personal and professional life.
Lately, I have been working with few clients who’ve been implementing reference data management (RDM) systems. I will be writing a series of blogs sharing my experience working with reference data including challenges involved while implementing RDM solutions, architectural best practices and reference data integration considerations.
How often do you look at your MDM solution architecture and say – Given another chance, I would have done it in a completely different way.
During MDM implementations, often these words are heard when the system is built in certain ways which does not comply with new requirements MDM system has to meet. Read more →
Attributes are the lowest level of data that give us knowledge and insight about customer data. There are attributes of specified length and type, simple and complex fields, lookup tables (or code tables), single and multi value attributes (typically found in product information management systems) etc. Read more →