Aggregating and managing all product data is cornerstone for any digital commerce strategy. In the many years since we saw a need to better manage product information and developed the first version of the Agility software, PIM has become a critical technology investment for both IT and business executives. A solid PIM solution helps you to dramatically improve data quality and govern data access and usage. It enables portfolio expansion as your business grows. And, effective product information management provides the flexibility to respond to changing market conditions. Read more
Running your business and analyzing results with accurate and consistent data is mission critical, yet most organizations struggle with bad data. An IBM study estimates that $3.1 Trillion of America’s GDP is lost due to bad data and 1 in 3 business leaders don’t trust their own data.
From Gartner’s ‘Modern Data Management Requires a Balance Between Collecting Data and Connecting to Data:’ Data and analytics leaders need to take an aggressive approach that creates an appropriate balance between data collection and data connection.
As the value of data as a core asset to digital business is now widely accepted, the most immediate reaction is attempting to collect it as if that was the key to delivering business value. The very popular data lake trend, for example, puts the collection process at the center. But collecting data doesn’t necessarily deliver business value, and collecting data may not even be possible.
As readers of this blog are aware, we have frequently discussed a variety of topics related to master data management. Over the course of the last decade we’ve enabled a good number of companies to deliver better reference and master data, across all domains (customer, product, financial, supplier, employee, etc.), and for operational as well as analytical systems. You can read about a few of them here. Read more
Lately we’ve been spending a fair amount of time talking to banks and investment firms about their information management challenges. One industry insider recently summed it all up for me by stating that organizations in this industry are motivated by one of two things – fear or greed. It might sound a bit crass, but that’s not a bad thing and I think it reflects the reality of the market we all, not just banks and investment firms, operate in.
In a previous blog I discussed the four primary MDM architectural styles: consolidated, registry, coexistence, and transactional. In case you missed it, read it here: MDM Architecture Styles – Do you have the right mix? Each has their individual strengths and weaknesses, but no single MDM architectural style is ideal for every application. Read more
(Updated October 2018) What is the right MDM architecture style for your organization? It’s definitely an open-ended question that deserves an informed answer, especially before making new investment decisions. But before tackling the question, it is useful to define and understand the MDM styles themselves. Dr. Dave Waddington of The Information Difference defined four broad styles in an article published in Information Management. If you follow the MDM space, you’ll see similar descriptions from most of the MDM industry analysts.
Look at the blurry image. If I gave you until the end of the day, could you tell me what it is? The patterns in the data tell you that “something” is there, but what? Iteratively increasing the pixels in the field of interest—resolution–brings those patterns into focus. Each iteration makes it clearer. Read more
Who am I to let a good theme die? Kudos to Jim Harris for his excellent follow up on his “Brickyard Chaos” blog with an even more insightful “Another Brick in the Wall” blog ( I love the Pink Floyd reference). Truth be told, I’m a bigger classic rock fan than I am a NASCAR fan, thus the association of this blog to the epic “Thick as a Brick” from one of my personal favorites Jethro Tull. Read more