Data management: issues and solutions for workflow efficiency.

Conference Paper · January 2008with4 Reads
DOI: 10.1145/1400549.1400592 · Source: DBLP
Conference: Proceedings of the 2008 Spring Simulation Multiconference, SpringSim 2008, Ottawa, Canada, April 14-17, 2008


    Information is a valuable asset in an organization and for this good data management practice is necessary to any technology based organization, as data management ought to be the most persistent discipline and activity in an organization. For this, between 2000 and 2006 IEEE conducted the assessment of 175 organizations to understand data management practice followed by them, and most of the organizations scored low on this aspect. It is unfortunate that worldwide, most organizations do not manage data well. The incorrect data at source travels across all systems and applications and wreaks havoc. Organizations should see how long data must be retained, and frame policies accordingly, for data maintaining, its quality, proper storage, cost of data, destroy, ownership, accessing, accuracy, retention requirements, responsibilities, supervision and recording etc. Undoubtedly data set needs to be accurate and consistence across the organization. In last decade, there has been a spiral growth in business as well as in data, resulting in decentralization of data. This has compelled to bring radical changes in management of data. Moreover, presently many organization measure data management on the scale of "Return on investment" and hence data management process is gaining management's understanding and appreciation. Keeping above in mind, this paper has attempted to illuminate perspectives of various data management issues and solutions in general.