Let’s say that you have successfully articulated the value proposition of incorporating a master data capability into a customer’s business application. Now what? If you are not prepared to immediately guide that customer in an integration process, the probability is that a home-brew solution will be adopted as a “temporary”
How well do you know big data in the retail industry? Want to find out? Read the following statements and pick which one is false: In the retail industry, big data is still five years away from becoming mainstream. In 2013, large billion dollar retailers spent an average of $75,000, or
Dylan Jones says one way to improve data accuracy is to increase the frequency and quality of reality checks.
While not quite at the level of big data, data discovery is attracting a good bit of attention these days. I explore both topics in The Visual Organization and Too Big to Ignore. It's only fair for people to ask if their legacy reporting tools support big data and data discovery. In short, the
“As the amount of data goes up, the importance of human judgment should go down,” argued Andrew McAfee in his Harvard Business Review blog post about Convincing People NOT to Trust Their Judgment, which is what he sees as the biggest challenge facing big data. “Human intuition is real,” McAfee
"One size doesn’t fit all" is a well-known refrain in the data governance community. Typically, this well-worn but evergreen adage is applied when discussing organizational structures. Two companies in the same industry, of like size and means, with similar objectives can take drastically different approaches for instantiating data governance within
In my previous post, I suggested that if we were to better articulate how master data management (MDM) is typically used, we could develop the components of solution templates that can speed the integration process. In this post, we’ll start to look at some common ways that the capabilities that
If you work for a bank or utilities organisation, then gaining a foothold for data quality is largely focused on proving you can increase the profits of an organisation. In the public sector of course there are different priorities so how can you demonstrate the value of your data quality
On the old dataroundtable.com site, I railed a few times against the perils and general stupidity of dual data entry. At a high level, barring some type of cataclysm, there's absolutely no reason for anyone to be typing the same data into two disparate systems. And that goes double for anyone
Big data seems like a daunting challenge because, as data management professionals, we have been taught by experts and learned from experience that we always have to dive deep into data in order to discover meaningful business insights, solve business problems, and support daily business operations. However, it’s possible to
