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. …
In my last two blogs, we discussed two of the three key activities to drive value through analytics—gaining control of your data and delivering the right information to the right people. Now it’s time to explore the third activity—enabling real-time analysis.
Business issues are on-going. Companies must continuously monitor business performance against established targets to identify areas for appropriate action and further analysis. In addition, business users are bombarded on a daily basis with questions that require quick investigation. And many of these questions require in-depth, ad-hoc analysis that goes beyond the scope of a standard report or dashboard.
In part one of the series, I introduced you to three key activities to drive value through analytics. Today, we’re going to explore the first activity—gaining control over your data.
Gain Control Over Your Data
Since the advent of the internet, information resources available to businesses have exploded due to increasingly sophisticated information technology. This creates a terrific opportunity to support business decision-making with a very rich data set, but first, companies must be able to assimilate all relevant information—whether structured or unstructured data, from internal or external sources—and make it available for general use.
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 …
Those of you familiar with the children’s story, “The Three Little Pigs,” know that a big bad wolf visits each of the pigs’ houses in anticipation of a savory meal. However, (spoiler alert here) only one little pig’s house ends up being strong enough not to be blown over by the big bad wolf. Well, that’s because that smart little pig knew that having a strong foundation for his house—in this case building it with bricks and mortar —would shield and protect his investment and literally save his skin when he needed it most.
If you’re like me, you’ll spend many hours this holiday season shopping for gifts, as well as trying to snag bargains on a few items for yourself. The shopping period between Black Friday and the end of the year has traditionally been a boom time for retailers, and the impact of technology on the holiday shopping season is increasingly evident.
Every day, a myriad of advertisements fills my email inbox to inform me of each retailer’s deals. Multiple iPad applications were launched this year to help shoppers find the best bargains by aggregating holiday deals from multiple retailers. “Cyber Monday” …
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 …
Once again, I find myself blogging on a plane. I’m on my way to meet with banks in Canada. Perhaps I can learn some things about proactive regulation and how to avoid a financial crisis.
After Toronto, I’m heading to the Legal Entity Identifier (LEI) workgroup meeting in Basel, Switzerland for a whirlwind trip to the center of gravity for pending global attempts at regulation. We’re interested in the parallels between the LEI discussions and supply chain issues that have been addressed by other industries. Let’s face facts; data in financial services is a mess. Things keep moving …
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 …