Remember the financial meltdown? Experts still can’t decide if we’re on the road to recovery…how long that road may be…or even if there is a road. As a nation, though, we did agree to more oversight over corporate financials. Enter the Dodd-Frank legislation, passed in July 2010.
A recent USA Today article shows that after three years, there’s still much work to be done to not only establish the regulations related to the legislation, but actually implement compliance to the regulation. As of September 3, 2013, only 40% of the required 398 rules had even been finalized. …
Have you read Gartner’s research note on Defining and Differentiating the Role of the Data Scientist? You can hardly read anything about enterprise information management (EIM) without bumping into the term “data scientist”. And @DataLovers tweeted just last week that data scientists are the new rock stars.
Here’s my issue. Before you can be a data scientist—conducting experiments with data and unearthing new correlations between weather, what I had for lunch, and what I’ll need at the grocery store for dinner—before any of that, you have to know what data you have.
Intrinsically, you know that you need good data. But how far do you need to go? What are the real costs incurred if you DON’T have clean data?
How Bad Can it Be?
The most common data quality question is, “We’re still making money, so how bad can it really be?”
Consider the following scenario. You made the “mistake” of hiring good people. Rock stars, even. They’re smart people, and they want to make sure you keep making money. As processes break and bad reports are generated, they want to fix them. So they do. Herein lies the …
USA reported an interesting story about a musician who ordered a Westinghouse TV from Amazon (purchased from a third party provider). Some of you probably did that yourself over the holidays. He anxiously waited for the big box to arrive. Instead, a much smaller box appeared on his doorstop. Hmmm. Perhaps, he thought, this is a single component for the TV? Cables or a stand? Reasonable guesses.
Nope. Not a TV at all—instead, it was a black, semiautomatic gun. Imagine his surprise! Thankfully, the Washington, D.C. musician did the right thing and called law enforcement.
However, the …
If you’re one of the many who isn’t yet tracking metrics and constantly reporting business value achieved through your efforts, you can use the Gartner whitepaper statistic below to help you quantify results.
How many business initiatives did you undertake last year? How many delivered on time, on target, and have increasing adoption? How many do you plan to undertake next year?
Ask your CIO or program management office for these numbers—then have a discussion. If you’re normal, 40 percent of those projects will fail. Investing in the quality of the information feeding those initiatives is an imperative.
Is anyone out there a fan of the new television series “Person of Interest?” In that show, a computer genius gathers big data from multiple sources (traffic cameras, crime reports, facial recognition, customs, etc.) to determine who is about to commit a crime *and* stop them from committing it. I’ve been meaning to write about the show for a while, as the data management challenges are rampant—then New York said they were trying to actually do it. Wow.
Short run-down from the newspaper article on Slashdot:
The Domain Awareness System will draw …
Zoominfo.com recently published a nice data decay infographic (a small version is included at the end of this post), that shows the level of master data change for business information. Why is understanding data decay essential? Many times organizations think that if they establish a huge, one-time effort to clean up their key master data elements, they won’t need to do it again.
Not true, as the infographic demonstrates. Your data can decay over time. Addresses and zip codes are always changing because of postal authorities. People move and change jobs frequently.
In talking to customers last week, they again reinforced that information governance success is still on the horizon for each of them—and these were companies that had a dedicated data governance organization in place for years! Here are some of the key barriers still affecting most customers I talk to, and some general guidance on how to overcome them.
Points for you, if you can identify some lyrics or the artist in my song choices—or if you can think of a better one!
They’re already very good at manually moving data and making it fit-for-use. As a consequence, …
This week I talked to two different customers who were going through organizational pain. In both cases, they had strong management who understood the value of truly treating information as an enterprise asset and, as a result, had the following in place:
Data governance organizations Metrics and score card initiatives A program vs. a project mindset toward information problems—after all, you can’t just clean your house once and expect to never do it again
However, the strong EIM management at each of company is leaving. The question is, what happens next? Can the initiatives survive without their spokesperson? Will the …
Nearly always, the first question I get asked in regard to information governance is “how do I sell the value? I know things are bad, but no one is willing to put money or resources behind the effort.”
An unpopular but effective technique is to let the train go off the track. Yes. Brace yourself and take the hit. You can see the information train barreling down the track, and part of the track is missing. Every instinct you have tells you to stop the train. You can’t stop the train. You can recommend stopping it, but many times another …