Concept of Data Life Cycle Management †MyAssignmenthelp.com

Question: Discuss about the Concept of Data Life Cycle Management. Answer: Introduction Data management plays a significant and essential role in the companys ability to generate proper amount of revenue along with controlling the costs as well as control as well as mitigate the different kinds of risk. DM is the proper development as well as execution of different ideas as well as plans along with the policies that will help in protecting, delivering as well as enhancing the data value as well as the information assets. The company that has been taken for the data cyclemanagement is Insomnia Coffee Company. The main aim and purpose of the report will help in managing the data of the customers as this will help in managing as well as improving the customer relationships. The main purpose of the report is to help the respective organization in mitigating the different risks by establishment of proper retention of the data in order to decrease the costs of the storage. The structure of the report will include the different usages of the data life cycle and the relevance of the Data Governance in the respective organization named Insomnia Coffee Company. This will include propermanagement of the data that focuses on the defining of different data with proper security, accuracy as well as completeness. Concept of Data Life Cycle Data life cycle management is defined as the policy based approach as this will help in managing the entire flow of the data of the information system throughout the life cycle that includes from creation to the initial stage to the time when the data becomes obsolete as well as it gets deleted (Williamson 2016). DLM products help in automating the processes that are involved that includes typically organizing the data in to different tiers regarding the specified policies along with automation of the migration of data from one tier to the different tier. This includes the data that are new in nature has to be accessed more frequently and these will be stored in a faster as well as expensive storage media, on the other hand the data that are less crucial in nature are stored in a cheaper but slower media (Wamba et al. 2015). Functions of Data Management Data Governance is the proper exercise of the authority as well as control with proper shared decision making that includes planning, enforcement as well as monitoring of data. This kind of data governance is based on the management of the data assets (Sieber and Johnson 2015). Proper planning and controlling is essential as this will help in managing the entire data assets of the entire organization along with architecture of the organization. Proper development of data is essential in nature as this will help in focusing on the activities within development of the system lifecycle that includes modeling of data as well as requirements as well as analysis of the data. This will help Insomnia Coffee Company in proper analysis as well as designing of the data in proper maintenance of the databases as well as solution components that is related to the data. The data focused activities are essential in nature as this will help in enhancing proper security of the data as well as implementation of the data as well (lvarez-Moreno et al. 2014). Data Operations Management is another essential function of the DM as this helps in proper planning, control as well as support for the different structured data assets across the lifecycle of the data that starts from the creation as well as acquisition through purge as well as archival (Regg et al. 2014). Proper planning, controlling as well as support is essential in nature as this will help in maintaining proper acquisition as well as creation of the data as this will help in receiving proper solutions for the different components. Data security management is essential function as well as proper planning is required to control the different activities in order to ensure the confidentiality as well as privacy of data is maintained. This will help in preventing inappropriate as well as unauthorized access to the data along with proper change creation (Vayena et al. 2015). Quality of the data management is essential in nature as this will apply the techniques to properly measure, assess, ensure and improve the fitness of the data that will be necessary for the use (Lee, Zhu and Jeffery 2017). Content and document management is essential in nature as this will help in storing the data that are found within the electronic files as well as physical records such as audio, video as well as graphics and images. Meta Data management is essential in nature as well as this will help in enabling proper as well as easy access of data that are highly integrated as well as integrated meta data. From the above, it can be analyzed that the above functions are the ones that appear to be more technical in nature as this will help in proper maintenance of the data architecture management and this will help in analyzing the proper design for managing as well as mitigating the different kinds of risk in the organization along with proper data management. With proper implementation of the strategies, this is essential in nature to mitigate as well as litigate the different kinds of risk from the management of the organization as this will help in maintaining proper databases pf the organization with proper planning as well as controlling of different data related components based on the solutions as well. Importance of the Data Management in Insomnia Coffee Company The data management is essential in nature as this helps in maintaining proper secrecy and maintenance of data that are required for the respective company as well. The DM will help Insomnia Coffee Company in determining the relevance of the data and to understand about the DM that is essential for the enterprise perspective view. Since the data exists in different forms, this includes different information that is generally found in business documents that includes invoices as well as contracts along with customer data. This will help in analyzing the financial data along with intellectual property as well. The respective organization Insomnia Coffee Company will help in understanding the data that will be used by them in performing a proper system wide operation that will be required for the regulatory authorities. Proper identification of the critical data is essential to be done by Insomnia Coffee Company as this will help them in analyzing the element that will help in understanding the requirements of data (Cox and Pinfield 2014). Master data management is the proper discipline that helps in striving for managing the data of the customers as this will help in improving the performance of maintaining proper relationship among the customers. With proper expansion of the storage of data, the requirements of the data have helped in increasing the different storage requirements along with the investments in the equipments. There are different costs that are involved in the data management of lifecycle that includes proper consumption of the power as well as the different requirements of cooling along with proper installation as well as cabling for proper recovery of the data (Wilkinson et al. 2016). These are the different costs that are required for the increase in the expenses related to occupancy as well as payroll expenses. It is essential that proper data management is essential in nature as this will help the different organizations in mitigating the different kinds of risk as this includes proper establishment of the formal retention policy of the data as this will help in decreasing the cost of the storage as well as the reducing the cost of litigation as well. The proper management of data helps in focusing on element of the data as well as the structure of the data, storage of the data along with the element of the data as well (Alexandrov et al. 2014). Proper management of the different information is essential in nature as well as this will help in understanding the accuracy, security as well as completeness and timeliness of the data along with different pieces of the data that are required for the data life cycle management. These are the different kinds of concern wherein the different accountants are properly trained to properly assess as well as manage the different tasks of the entire organization (Zhang et al. 2017). Data Governance Data Governance is defined as the exercise of the authority control as well as shared decision making process in the organization over the proper management of the data assets. This is the high level planning as well as controlling of data over the DM. Objectives of DG in Insomnia Coffee Company To enable proper decision making To reduce the operational friction To properly protect the requirements of the stakeholders To ensure proper transparency of the data as well as processes To properly build different standards as well as repeatable processes To reduce the costs along with increase the effectiveness through proper coordination of different efforts (Delen and Demirkan 2013) Functions of DG in Insomnia Coffee Company Proper planning of data management as this helps in identifying the most strategic needs of the enterprise and this will help in development of the strategy of data. This will help in identifying the data stewards as this will help Insomnia Coffee Company in developing as well as review data policies as well as standards along with the procedures. Proper data management supervision as well as control is essential as well as this will help Insomnia Coffee Company in supervising the DM professional staff as well as organizations. This will help in overseeing the data management projects as well as services. The DG will help in managing along with resolving the data as this will help in ensuring the regulatory compliance. DG will help in communicating along with promoting the value of the data assets (Cao and Lumineau 2015). Principles of Data Governance in Insomnia Coffee Company Proper integrity is essential as the participants of DG will help in discussing the different constraints as well as the impacts of the decisions that are related to data processes (Ayuso et al. 2014) Proper transparency is essential as well as this will help in exhibiting transparency in Insomnia Coffee Company. This will help in clearing the decisions relate to the decision making along with controls were introduced in the entire process Proper accountability is essential in nature as well as this will help the participants in Insomnia Coffee Company for the different decisions related to the cross cultural decisions, controls as well as processes. Conclusion Therefore, it can be inferred that data life cycle management is essential in the respective organization named Insomnia Coffee Company. Data management as well as data governance requires proper planning as well as control over the different data in the organization as this will help in reducing the different operational friction as well as proper building of standards and ensure transparency in the different processes. References Alexandrov, A., Bergmann, R., Ewen, S., Freytag, J.C., Hueske, F., Heise, A., Kao, O., Leich, M., Leser, U., Markl, V. and Naumann, F., 2014. The stratosphere platform for big data analytics.The VLDB Journal,23(6), pp.939-964. lvarez-Moreno, M., De Graaf, C., Lopez, N., Maseras, F., Poblet, J.M. and Bo, C., 2014. Managing the computational chemistry big data problem: The ioChem-BD platform.Journal of chemical information and modeling,55(1), pp.95-103. Ayuso, S., Rodrguez, M.A., Garca-Castro, R. and Ario, M.A., 2014. Maximizing stakeholders interests: An empirical analysis of the stakeholder approach to corporate governance.Business society,53(3), pp.414-439. Cao, Z. and Lumineau, F., 2015. Revisiting the interplay between contractual and relational governance: A qualitative and meta-analytic investigation.Journal of Operations Management,33, pp.15-42. Cox, A.M. and Pinfield, S., 2014. Research data management and libraries: Current activities and future priorities.Journal of Librarianship and Information Science,46(4), pp.299-316. Delen, D. and Demirkan, H., 2013. Data, information and analytics as services. Lee, S.U., Zhu, L. and Jeffery, R., 2017. Data Governance for Platform Ecosystems: Critical Factors and the State of Practice.arXiv preprint arXiv:1705.03509. Regg, J., Gries, C., Bond-Lamberty, B., Bowen, G.J., Felzer, B.S., McIntyre, N.E., Soranno, P.A., Vanderbilt, K.L. and Weathers, K.C., 2014. Completing the data life cycle: using information management in macrosystems ecology research.Frontiers in Ecology and the Environment,12(1), pp.24-30. Sieber, R.E. and Johnson, P.A., 2015. Civic open data at a crossroads: Dominant models and current challenges.Government information quarterly,32(3), pp.308-315. Vayena, E., Salath, M., Madoff, L.C. and Brownstein, J.S., 2015. Ethical challenges of big data in public health.PLoS computational biology,11(2), p.e1003904. Wamba, S.F., Akter, S., Edwards, A., Chopin, G. and Gnanzou, D., 2015. How big datacan make big impact: Findings from a systematic review and a longitudinal case study.International Journal of Production Economics,165, pp.234-246. Wilkinson, M.D., Dumontier, M., Aalbersberg, I.J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.W., da Silva Santos, L.B., Bourne, P.E. and Bouwman, J., 2016. The FAIR Guiding Principles for scientific data management and stewardship.Scientific data,3, p.160018. Williamson, B., 2016. Digital education governance: data visualization, predictive analytics, and real-timepolicy instruments.Journal of Education Policy,31(2), pp.123-141. Zhang, Y., Qiu, M., Tsai, C.W., Hassan, M.M. and Alamri, A., 2017. Health-CPS: Healthcare cyber-physical system assisted by cloud and big data.IEEE Systems Journal,11(1), pp.88-95.