Information Governance (InfoGovernance) is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archiving and deletion of information. It includes the processes, roles, standards and metrics that ensure the effective and efficient use of information to enable an organization to achieve its goals. Information governance should be an element in planning an enterprise's information architecture.

(Gartner Hype Cycle for Legal and Regulatory Information Governance, 2009, December 2009).

An Engagement Area (EA) is an area where the commander of a military force intends to contain and destroy an enemy force with the massed effects of all available weapons systems.

(FM 1-02, Operational Terms and Graphics, September 2004).

Tuesday, November 18, 2014

Rolling Intelligence: Enterprise-Level Paying It Forward

By John Martin
Rolling intelligence is the enterprise-level equivalent of pay it forward. Effort invested in one business unit, functional area, or type of document storage to visually classify documents benefits the other units, areas, or types of storage that are processed later on. It is the gift that keeps on giving. The reason is that there is a heavy overlap on the types of documents that are used or stored in different areas of an enterprise.

Monday, November 17, 2014

Visualizing Data in a Predictive Coding Project – Part Two

By Ralph Losey
This is part two of my presentation of an idea for visualization of data in a predictive coding project.Please read part one first.
As most of you already know, the ranking of all documents according to their probable relevance, or other criteria, is the purpose of predictive coding. The ranking allows accurate predictions to me made as to how the documents should be coded. In part one I shared the idea by providing a series of images of a typical document ranking process. I only included a few brief verbal descriptions. This week I will spell it out and further develop the idea. Next week I hope to end on a high note with random sampling and math.
Vertical and Horizontal Axis of the Images
The visualizations here presented all represent a collection of documents. It is supposed to be pointillistimage, with one point for each document. At the beginning of a document review project, before any predictive coding training has been applied to the collection, the documents are all unranked. They are relatively unknown. This is shown by the fuzzy round cloud of unknown data.

Sunday, November 16, 2014

TAR in the Courts: A Compendium of Case Law about Technology Assisted Review

By Bob Ambrogi
Magistrate Judge Andrew Peck It is less than three years since the first court decision approving the use of technology assisted review in e-discovery. “Counsel no longer have to worry about being the ‘first’ or ‘guinea pig’ for judicial acceptance of computer-assisted review,” U.S. Magistrate Judge Andrew J. Peck declared in his groundbreaking opinion in Da Silva Moore v. Publicis Groupe . Judge Peck did not open a floodgate of judicial decisions on TAR. To date, there have been fewer than 20 such decisions and not one from an appellate court. However, what he did do — just as [...]

Saturday, November 15, 2014

Turkeys, Thanksgiving and Predictive Coding (Cartoon and Clip)

The Cartoon and Clip of the Week for November 14, 2014

Daily we read, see and hear more and more about the opportunities, challenges and concerns associated with predictive coding. This week’s cartoon and clip highlights a visual depiction of two knowledge workers taking a random sampling approach to predictive coding (cartoon) and some considerations for thinking about the challenges associated with textual analytics-based technology-assisted review platforms. (clip).

PredictiveCoding590



Text and Non-Text Files in Information Governance and eDiscovery

When you are evaluating information governance and electronic discovery solutions do you ask your vendor/service provider the basic questions of:
1) Does your system or process identify both textual and non-textual ESI files?
2) How does your system or process index and classify non-textual ESI files? (Example: Image only PDFs.)
3) How does your system or process identify text within non-textual ESI files? (Example: Graphics with words published to an image only PDF.)
If your vendor/service provider cannot adequately answer these three simple questions, then you may want to consider the potential risk and exposure associated with not fully considering non-textual ESI in your information governance and eDiscovery efforts.  Additionally, if your vendor is relying on a non-automated process for classifying non-textual files, then you may not be using the most efficient approach for your information governance or eDiscovery efforts.
Click here to find a running listing of some of the latest postings on the topic of Technology-Assisted Review.

Friday, November 14, 2014

Understanding the Chief Data Officer Role

By Gartner Research
Organizations may build their businesses on data, but they don’t necessarily manage it well. That’s why Chief Data Officers (CDO) can play a valuable role in helping the organization value its data across the enterprise. CDOs particularly are on the rise in regulated industries and Gartner predicts that 50% of all companies in regulated industries will have a CDO by 2017, according to Debra Logan, vice president and Gartner Fellow, in her session at Gartner Symposium ITxpo. CDOs Help Manage Data as a Corporate Asset “There is no coherent leadership strategy around corporate assets,” Ms. Logan said. Organizations [...]

Thursday, November 13, 2014

Archiving in the Enterprise: New Magic Quadrant From Gartner

Published on November 10, 2014, the new Gartner Magic Quadrant for Enterprise Information Archiving(G00262936) provides information technology and business professionals with information and insight into solutions available to meet compliance and eDiscovery challenges while reducing primary storage costs.
This new magic quadrant is authored by leading Gartner experts to include:
While the complete report is available for purchase from Gartner, general information from the magic quadrant is typically shared by mentioned vendors and media professionals in announcements, commentaries and news stories.
Provided below is the listing of representative enterprise archiving vendors from the report and, where available, vendor public comments on their mention in the magic quadrant.
Enterprise Information Archiving Vendors (Alphabetically Ordered with Links)
Report Mentions from Representative Vendor Websites
We are pleased to announce that Actiance, the creator of Alcatraz, was included in the Magic Quadrant for Enterprise Information Archiving.
Gartner has stated, “By 2019, 75% of organizations will treat archived data as an active and “nearline” data source, and not simply as a separate repository to be viewed or searched periodically, up from less than 10% today.”
Found within the Magic Quadrant, Gartner goes on to say, “GWAVA is one of the few vendors that offers native Gmail archiving support. Retain has the ability to search and take action on outside data sources and to conduct eDiscovery activities across any connected dataset.”
“Broader information governance concerns (regulatory compliance, business-focused retention and deletion of data, and managing aging data based on a clear understanding of its value) are beginning to surpass e-discovery as the primary driver for deploying EIA.”
Gartner, Inc. positions Proofpoint in the Leaders Quadrant in its 2014 Magic Quadrant for Enterprise Information Archiving.
Public Domain Sources:

Wednesday, November 12, 2014

9 Things Google Maps Teaches About Information Governance

By John Martin
Google Maps teaches several lessons about information governance that are worth considering for any major IG initiative that will take in information from many sources, normalize it, keep it current, and present it in a useful fashion.
1. Start with a bold vision. Stephen Covey would call this begin with the end in mind. Without a vision it is difficult to select the proper tools, staffing and process. Without a bold vision there are seldom quantum leaps forward in performance or capabilities. Have a vision for all your documents, not just discrete silos.