Last time we started to discuss the strategy for applications to transition to using master data services. At the top of our master data services stack, we have the external- or application-facing capabilities. But first, let’s review the lifecycle of data about entities, namely: creating a new entity record, reading
One of the growing trends I’m witnessing when talking to Data Quality Pro’s guest interviewees is the use of federated data quality tactics. The idea is a simple but compelling one. Rather than having a large team that manages data quality across the organisation, you create satellite teams that adopt
While we live in an era of big data, it's folly to claim that all data is accurate. Just because you read something on the internet doesn't make it true. In this post, I'll look at two organizations that are working to increase data accuracy and transparency. I'll spare you
We sometimes describe the potential of big data analytics as letting the data tell its story, casting the data scientist as storyteller. While the journalist has long been a newscaster, in recent years the term data-driven journalism has been adopted to describe the process of using big data analytics to
In the last two series of posts we have been discussing the challenges of application integration with a maturing master data management (MDM) repository and index, and an approach that attempts to easily enable existing applications to incrementally adopt the use of MDM. This approach involves developing a tiered architecture
Many people don’t know where to start with data quality. They get bogged down with questions on dimensions, ownerships, rules and tools. The problem can seem too vast to even begin making sense of their data landscape, let alone transforming it into a well-governed and high-quality asset. A lot of
For as long as I can remember, I have known about the importance of literacy. Without being able to read and write, you can only go so far in life. Imagine not being able to read warnings on prescription medicine. You are able to recognize a stop sign, but how
Sometimes you have to get small to win big. SAS Data Management breaks solution capabilities into smaller chunks – and deploys services as needed – to help customers reduce their total cost of ownership. SAS Master Data Management (MDM) is also a pioneer in "phased MDM." It's built on top of a data
Cats and dogs. Hatfields and McCoys. Business and IT. Sometimes you just need a couple of names. Great rivalries need no further explanation. At SAS Executive Conference 2014, Jill Dyché, vice president of best practices at SAS, led a panel exploring the way that business leaders and their IT counterparts
Ask any battle-hardened data quality practitioner and they will tell you that one of the leading causes of data quality defects stems from an inability to design quality into information systems. I am going to take a specific example of bad system design to explain how data defects quickly become
