Database Management Assignment
12 Pages2800 Words163 Views
Added on 2020-05-01
Database Management Assignment
Added on 2020-05-01
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Running head: DATA LIFE CYCLEData Life CycleName of the StudentName of the UniversityAuthor note
1DATA LIFE CYCLEAbstractThe report helps in understanding the importance of the Data Management in differentcompany as this will help the company in providing proper revenue amount in controlling thedifferent costs as well as mitigate the different kinds of risk from the companies. The DataGovernance is essential in nature for proper planning as well as controlling different dataissues in the different companies. The main aim and purpose of the report is to understand the concept of the data life cyclemanagement in different companies. The respective company that has been taken in thereport is Insomnia Coffee Company. The conclusion will be based on the importance of the data life cycle management along withdata governance in the companies. The proper functions of DM and DG will help inanalyzing the proper usage of these in the company to gain customer’s attraction.
2DATA LIFE CYCLETable of ContentsIntroduction................................................................................................................................3Concept of Data Life Cycle........................................................................................................3Functions of Data Management.................................................................................................4Importance of the Data Management in Insomnia Coffee Company........................................5Data Governance........................................................................................................................5Objectives of DG in Insomnia Coffee Company.......................................................................6Functions of DG in Insomnia Coffee Company........................................................................6Principles of Data Governance in Insomnia Coffee Company..................................................7Conclusion..................................................................................................................................7References..................................................................................................................................8
3DATA LIFE CYCLEIntroduction Data management plays a significant and essential role in the company’s ability togenerate proper amount of revenue along with controlling the costs as well as control as wellas mitigate the different kinds of risk. DM is the proper development as well as execution ofdifferent ideas as well as plans along with the policies that will help in protecting, deliveringas well as enhancing the data value as well as the information assets. The company that hasbeen taken for the data cycle management is Insomnia Coffee Company. The main aim and purpose of the report will help in managing the data of thecustomers as this will help in managing as well as improving the customer relationships. Themain purpose of the report is to help the respective organization in mitigating the differentrisks by establishment of proper retention of the data in order to decrease the costs of thestorage. The structure of the report will include the different usages of the data life cycle andthe relevance of the Data Governance in the respective organization named Insomnia CoffeeCompany. This will include proper management of the data that focuses on the defining ofdifferent data with proper security, accuracy as well as completeness. Concept of Data Life CycleData life cycle management is defined as the policy based approach as this will helpin managing the entire flow of the data of the information system throughout the life cyclethat includes from creation to the initial stage to the time when the data becomes obsolete aswell as it gets deleted (Williamson 2016). DLM products help in automating the processesthat are involved that includes typically organizing the data in to different tiers regarding thespecified policies along with automation of the migration of data from one tier to the different
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