"Is There a Cure for Infobesity?" by Bill Tolson, Subject Matter Expert and Evangelist – Information Governance & eDiscovery

24 Mar 2014 6:27 PM | Chere Estrin (Administrator)



Infobesity – uncontrolled information growth

Digital Information growth is out of control in most organizations. According to a 2011 IDC study, 90% of all data created in the next decade will be of the unstructured digital variety. Also in 2011 it was estimated ninety percent of the data in the world had been created in the prior two years. The cost of computer storage devices continue to drop (99% between 2000 and 2010) but the cost to store and manage information continues to rise. The key word is to manage information. You can save every bit of information generated and received in your organization but if you can’t find what you’re looking for when you need it, in fact, the information is valueless.

These and other facts are making it almost impossible for organizations to actually capture, manage, store, share and dispose of this data in any meaningful way that will benefit the organization.

Organizations run on and are dependent on information. But information is valuable to an organization only if you know where it is, what’s in it, and what is shareable or in other words… managed. In the past, organizations have relied on end-users to decide what should be kept, where and for how long. In fact 75% of data today is generated and controlled by individuals. In fact, Jason Baron, Director of Litigation for NARA stated “We need to declare an official end to the end-user being expected to act as de facto records manager.” In most cases this practice is ineffective and causes what many refer to as “underground archiving”; the act of individuals keeping everything in their own unmanaged local archives. These underground archives effectively lock most of the organization’s information away, hidden from everyone else in the organization.

This growing mass of digital information has brought most organizations to an inflection point; getting control of your information to enable innovation, profit and growth, or continue down your current path of information anarchy and choke on your competitor’s dust.

Putting your Infogluttony habit on a diet

An effective information governance process optimizes overall information value by ensuring the right information is retained and quickly available for business, regulatory, and legal requirements, all done through effective machine learning automation, or in other words taking information governance responsibility out of the hands of individual employees.  This process reduces regulatory and legal risk,  insures needed data can be found quickly and is secured for litigation, reduces overall eDiscovery costs, and provides structure to unstructured information so that employees can be more productive.

Predictive Information Governance

Automating information governance through iterative machine learning for granular categorization so that all enterprise data is captured, evaluated for legal requirements, regulatory compliance, or business value and stored or disposed of in a defensible manner is the only way for organizations to move to the next level of information governance.


Authored by Bill Tolson, Subject Matter Expert and Evangelist – Information Governance & eDiscovery

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