Assignment on Developing Data Management

Added on - 21 Apr 2020

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Running head: DATA MANAGEMENT SYSTEMData Management SystemName of Student-Name of University-Author’s Note-
1DATA MANAGEMENT SYSTEMTable of ContentsPart A: Developing Data Management................................................................................11. Data Management........................................................................................................1a. Concept Map............................................................................................................1b. Discussion................................................................................................................12. Summary of articles.....................................................................................................13. Research Questions......................................................................................................1Part B: Critical Review........................................................................................................1
2DATA MANAGEMENT SYSTEMPart A: Developing Data Management1. Data Managementa. Concept MapIn an organization, to generate their revenues data management plays a very importantrole in those organizations to mitigate risks and control costs. The increasing amount of datafrom an organization are protected, stored ad protected are successfully done by datamanagement (Mao et al., 2015). Data management helps to improve the competitive advantagein business environment of an organization.Data ManagementComputational solutionsto large-scaledata management andanalysisDeveloping a Lean DataManagement Systemfor anEmerging SocialEnterpriseData ManagementSystem for StructuralHealthMonitoringSelf-Adaptive ContextData Managementin Large-Scale MobileSystemsChallengesposed bylarge-scaledata analysisMeeting thechallengeStandardizingdata formats.Data transfer,access controlandmanagementUnderstanding yourcomputationalproblemModelling theresultsComputational solutionsSYSTEMSELECTION ANDEVALUATIONDESIGNDECISIONSDESIGNGUIDELINESDATADISTRIBUTIONPROCESSDATA ROUTINGIMPLEMENTATIONDETAILSFigure 1:Concept Map of the studyb. DiscussionTo make revenue in an organization, data management plays an important role. Datamanagement helps to mitigate risks and control costs. Data management helps to share, retrieveand protect amount of data in an organization. To define the element of data, the structure of
3DATA MANAGEMENT SYSTEMdata, the way they are moved and stored are mainly focused by the data management (Costello &Wieczorek, 2014). Data management is concerned with accuracy, timeliness, completeness andsecurity for multiple amounts of data. To accountants of the organizations are trained to accessdata and also manages to help the organization (Murdoch, T. B., & Detsky, 2014). Allorganizations has abundant amount of data that is increasing day by day at an alarming rate. Tomake which data in the organization are most relevant, it is vital and essential for allorganization. The senior representatives of the organization should perform classification andidentification.2. Summary of articlesAccording toSchadt et al. (2010)in the article “Developing a Lean Data ManagementSystem for an Emerging Social Enterprise” data collection technique is very essential for all theorganization that are operating in developing countries. All organization needs data collection.For all purposes like efficiency improvements, research purposes or traditional evaluation andmonitoring, collection of data is needed (Cox & Pinfield, 2014). By implementing proper tools,integrating data and design protocols in an organization, data collection is an important aspect ofdata management system. As described in this article, all organizations are arranging approachesto reduce the inefficiencies so that they can become famous among other researchers andentrepreneurs. In another article “Computational solutions to large-scale data management andanalysis”Obeysekare, Marucci & Mehta (2016)stated that this world is evolving with hugenumber of new technologies. New technologies in the field of genomics which includes thirdgeneration technologies, image systems and flow cytometry that are spectrometry basedgenerates large amount of data. These data helps to monitor genes in large amount, sequence thegenome in human and also helps to score large number of SNP’s in each samples. Costello &
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