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Dark matters

Editorial Type: Opinion     Date: 03-2016    Views: 1797      





Businesses need to develop the ability to identify and efficiently manage information throughout its lifecycle to avoid the consequences of Dark Data, argues Julian Cook, Director of UK Business, M-Files

Instead of accepting the issue of Dark Data as inevitable and unavoidable, we at M-Files Corporation argue that businesses need to develop the ability to identify and efficiently manage information at all phases of the lifecycle.

Many define Dark Data as information assets that are created and used only once. But it is a deeper issue than that because even content that is actively used for a period of time can turn into Dark Data when organisational and project priority changes. Active information that becomes inactive is typically left where it was and is easily forgotten. To make matters worse, employees often recreate data when they can't quickly find their copy. Duplication and recreation therefore multiply the incremental volumes of any data that subsequently goes dark.

We are beginning to see many businesses taking a proactive approach to recycling their Dark Data by harnessing best-in-class enterprise content management (ECM) solutions. The current business climate requires more thorough record keeping and the ability to produce evidence for quality control, compliance, legal actions, risk mitigation, and more.

Employees can waste excessive amounts of time searching for misplaced or lost information, and often have to re-create content assets that cannot be located. Instead of ignoring the problem, businesses need to develop the ability to identify and efficiently manage information throughout its lifecycle. Some data should go dark; once it has served its purpose, it can be archived appropriately based on retention rules, to simplify any future discovery requirements.

The identification of legitimate dark data allows it to remain visible only to authorised individuals. For example, if an information asset contains sensitive information about employees or confidential activities, it can be encrypted and protected with access restrictions.

Metadata-based ECM solutions can greatly simplify the classification and identification of Dark Data versus active assets. Content can be tagged in a manner that enables it to be accessed and synced between various systems and devices, with no duplication of content. Information is not tethered to a specific location; it is freed from the confines of applications, platforms and information silos.

Injecting more intelligence in your data essentially makes it greener - the assets live longer and can be used by more people. In many cases, dark data never stays dark for long, since it can be regularly recycled for uses that go beyond the original intent.

The benefits and saved time add up quickly. Decision makers can achieve better results as they are able to find and use all relevant information, and productivity goes up for all of the knowledge workers in the organisation since everyone will spend less time looking for misplaced information.
More info: www.m-files.com

WHAT IS DARK DATA?
Gartner defines dark data as the information assets organisations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetising).

Similar to dark matter in physics, dark data often comprises most organisations' universe of information assets. Thus, organisations often retain dark data for compliance purposes only. Storing and securing data typically incurs more expense (and sometimes greater risk) than value.

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