Information Management (IM) and Big Data

There are many definitions of Information Management (IM). IM has largely been defined from an information system perspective and equated with the management of information technology. "IM aims to get the right information to the right person at the right place and at the right time." IM is the means by which an organization seeks to maximize the efficiency with which it plans, collects, organizes, uses, controls, stores, disseminates, and disposes of its information, and through which it ensures that the value of that information is identified and exploited to the maximum extent possible. Existing IM solutions have focused efforts on the data that is readily structured and thereby easily analyzed using standard tools. Modern hardware and software technologies are changing what it's possible to deliver from an Information Management perspective. A significant increase in the use of Big Data and analytical technologies has been employed by industrials, scientists and researchers. Big Data is used to describe data sets whose size is beyond the capability of commonly used software tools to capture, manage, and process. Big data involves data sets so large and complex that traditional processing application software is inadequate to capture, curate, manage, and process the data within a reasonable amount of time. Big data can be measured by the five Vs; characteristics that include volume, variety, velocity, variability and veracity. In this way, Big Data has focused management attention and accelerated the move towards a fact based management approach, often by offering additional opportunities for analysis (more data or more points within a business process) or more opportunities for applying analysis to operational decision making. IM solutions can often become very fragile over time, leading to a significant burden from an operational costs and IT productivity standpoint. Implemented appropriately, Big Data can have a profound impact on these aspects due to the schema-on-read approach and a reduction in integration efforts. In this context, we discuss the big data uses in the information system era. We will present the new possibilities of use and its limitations.