information governance versus information management

Governance is about taking ownership, making decisions and setting rules. Management is about acting on the decisions, executing the policies and enforcing the rules. Therefore, Information Governance and Information Management are not the same thing and the two terms should not be used interchangeably!

The above quote is taken from an insightful post from George Parapadakis entitled “Stop comparing information governance to records management.”  He includes eight key differences between information governance and records management.

When disposition goes wrong

Old city records containing personal information about military veterans were found blowing around Quincy, Mass., on Tuesday, the Patriot Ledger reports.

The records, which date from the 1950s through the 1980s, contain social security numbers, bank account information, healthcare data and benefit claims. A Patriot Ledger reporter found the records blowing around the Russell Park area near Quincy High School.

Henry Bradley, Quincy’s acting director of veterans services, said the department had hired shredding company Shred King to haul off 85 boxes containing around 240,000 old veterans’ records…

City employees carried out a search on Wednesday in the Russell Park area and found dozens of additional veterans’ records blowing in the wind.

http://ow.ly/wcSLv

Read more: The personal data, my friend, is blowin’ in the wind – FierceITSecurity http://www.fierceitsecurity.com/story/personal-data-my-friend-blowin-wind/2014-04-24#ixzz305MOS0E2
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Don’t Follow Best Practices, Start With ECM instead of RIM and Other Tips From Richard Medina To Succeed With Information Governance

Richard Medina of DocuLabs offers these four tips of pragmatically succeeding with information governance.  

1)Clarify The Scope of Information Governance and Don’t Overreach

If your IG program succeeds at protecting your organization from information risk and risk-related costs, it’s a successful program. But if it fails to protect you — whether or not it improves the operational efficiency of some of your business processes — it’s a failure.

 

2)Always Design Your Approach To Optimize Partial Failure

Be sure to model failure and “half-baked” scenarios — scenarios where you have to stop at various points in your roadmap. Make sure you can optimize a completely uneventful, successful implementation. But have lots of “Plan Bs.”

 

3)If You Want ‘Offensive’ Benefits As Well As ‘Defensive’ Benefits, do ECM First

The past twenty years of enterprise document management systems and then enterprise content management (ECM) have demonstrated that leading with records management (RM) or IG is a bad approach if you want to meet significant offensive requirements in addition to defensive requirements

4)Recognize That Most ‘Best Practices’ May Not Deserve That Title

There’s little empirical evaluation of “Best Practices” in any field, let alone rapidly developing areas of IT and IG. So the “Best Practices” are often primarily the ones that have been most successful in reproducing themselves. None of this means that you shouldn’t follow them. They may be the best practices you can get. But you should try to be clear about the limits of their applicability and how best to use them.

 

For more detail I’d recommend hoping over to CMS Wire to read the full article: Be Pragmatic To Succeed In Information Governance

Deleted Tweets Are Still Discoverable

Oscar Pistorius was quizzed Monday about a tweet he sent months before fatally shooting his girlfriend Reeva Steenkamp in which the Olympian discussed going into “full combat recon mode.”

Prosecutor Gerrie Nel said Pistorius, who is accused of murder, seemed like a person in control of the situation as he approached his bathroom holding a firearm early on Feb. 14 last year. He asked about the tweet Pistorius sent in November 2012 but has since been deleted.

You can read the full story at NBC News

Internet of Things says hello to airline industry

Stories have recently come out about the next generation of airline seats that will incorporate sensors. Here is one of the features it will have:

It is designed to remember you, based on a direct-connect to your personal electronic device. When you place your device on the side panel, the seat’s voyeur-smart computerized system connects to your social profiles and reads your data footprint to learn what you like when you travel and in every other area of your life.

It uses all that Big Data to determine what content you’re likely to want to watch on the big screen which tilts as you do, as well as what position you’ll like your seat to be in, what color side panel active video display it should play to help you chill out, what kind of massage setting you enjoy, and what your favorite onboard food is.

You can read about other features and learn more at the following link: The next generation airline seat will know everything about you from qz.com by Marisa Garcia

Is it Better to Have Big Data or Thick Data

Big data is really just a big collection of what people in the humanities would call thin data. Thin data is the sort of data you get when you look at the traces of our actions and behaviors. We travel this much every day; we search for that on the Internet; we sleep this many hours; we have so many connections; we listen to this type of music, and so forth. It’s the data gathered by the cookies in your browser, the FitBit on your wrist, or the GPS in your phone. These properties of human behavior are undoubtedly important, but they are not the whole story.

 

To really understand people, we must also understand the aspects of our experience — what anthropologists refer to as thick data. Thick data captures not just facts but the context of facts. Eighty-six percent of households in America drink more than six quarts of milk per week, for example, but why do they drink milk? And what is it like? A piece of fabric with stars and stripes in three colors is thin data. An American Flag blowing proudly in the wind is thick data.

 

Rather than seeking to understand us simply based on what we do as in the case of big data, thick data seeks to understand us in terms of how we relate to the many different worlds we inhabit. Only by understanding our worlds can anyone really understand “the world” as a whole, which is precisely what companies like Google and Facebook say they want to do.

Excerpted from Your Big Data Is Worthless If You Don’t Bring It Into The Real World in Wired by MIKKEL KRENCHEL AND CHRISTIAN MADSBJERG

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