Authors
Submit your research
Submission Guidelines
Editorial Board
Review Process
Publication Fee
Scirj Indexing

Publications
Research Journal
Special Issue
Thesis
Monograph

Research Library

RSS & Feeds

Subscribe

Scirj, Volume VI [2019]
July Issue [In Process]
June Issue
May Issue
April Issue
March Issue
February Issue
January Issue

Scirj, Volume VI [2018]
December Issue
November Issue
October Issue
September Issue
August Issue
July Issue
June Issue
May Issue
April Issue
March Issue
February Issue
January Issue

Scirj Volume IV, Issue IV, April 2016 Edition
ISSN: 2201-2796

Dark data: Business Analytical tools and Facilities for illuminating dark data

Njeru Mwiti Kevin, Felister Munyi Wanyaga, David Kibaara, Wilkister Atieno Dinda, James Kariuki Ngatia

Abstract: The most important asset for any organization today is data. Organizations collect and store vast amounts of data every day relating to their various business activities. Understanding this data leads to better insights, less costs and risks and provides avenues in which the organization can improve its performance, offer better services to its customers and earn more revenue giving it a competitive advantage in the market. Advanced tools have been developed to gain this much needed insight into data that was previously considered irrelevant or inaccessible based on its unstructured form. These tools help an organization drill into its data and data from other external sources such as competitors, government reports, proprietary and other multi dimensional databases available from the internet to gain knowledge that can be applied to improve the organization’s competitive position. The aim of this research is to provide insights to organizations on how business analytic tools and software can be applied in lighting up previously unknown or ignored data. This is done through an in-depth analysis of secondary data and practitioner reports to provide an understanding of the various concepts and tools essential in identifying meaningful patterns and trends into an organization’s data.

Reference this Paper: Dark data: Business Analytical tools and Facilities for illuminating dark data by Njeru Mwiti Kevin, Felister Munyi Wanyaga, David Kibaara, Wilkister Atieno Dinda, James Kariuki Ngatia published at: "Scientific Research Journal (Scirj), Volume IV, Issue IV, April 2016 Edition, Page 1-10 ".

Search Terms: Dark data, knowledge, intelligence, analytics, competitive advantage, Big Data

[Read Research Paper]       [Full Screen]