Dark Data Management as frontier of Information Governance

Abstract

Information Governance (IG) decrease cost of operation, creates opportunity of new ventures, prepare liturgical evidence for litigation while committing to the information lifecycle process by abiding records management using proper and comprehensive information policy. In the meantime, IG enabling access and discovery using Information Technology (IT) infrastructure that restrict information based on privileges and perimeters with the embedment of information architecture while sustaining better business operation. Dark data is information, collected as a function of an organization's normal operations but rarely or never analyzed or used to make intelligent business decisions. By IG means, dark data would dramatically increase revenue, growth and efficiency of a business and institution compared to their competitor who don't take serious action on dark data. As a result, a Dark Data Management Model proposed comprises of 1 main core governance element, 4 main processes but defined by few activities. The model was proposed as generic approach on managing dark data since the process should be applied continuously not only to new receiving information but also stored data. Dark data mining process was not included in the proposed model as the model focus on the preventive measure which can be used to current data which falls under the category of dark data based on the value assessment of each organization.

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