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
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
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
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
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
While big data is rife with potential, as Larry Greenemeier explained in his recent Scientific American blog post Why Big Data Isn’t Necessarily Better Data, context is often lacking when data is pulled from disparate sources, leading to questionable conclusions. His blog post examined the difficulties that Google Flu Trends
For most organisations, issue management is seen as an administrative chore. Scattered across the organisation, data workers diligently resolve issues often via their own local issue management process. With silos of data comes silos of maintenance, and this is a real shame because the data these systems possess is a
Teller, the normally silent half of the magician duo Penn & Teller, revealed some of magic’s secrets in a Smithsonian Magazine article about how magicians manipulate the human mind. Given the big data-fueled potential of data science to manipulate our decision-making, we should listen to what Teller has to tell
Some of the most common reasons for defective data come down to a simple lack of coordination between the various groups involved with preserving the integrity of data logic, content, structure and assurance. By improving this process of coordination between the different silos, you can dramatically improve the quality and governance
Were you a mother who listened to classical music during your pregnancy, or a parent who played classical music in your newborn baby’s nursery because you heard it stimulates creativity and improves intelligence? If so, do you know where this “classical music makes you smarter” idea came from? In 1993, a
