Instructions 1. Read the case scenario provided in the assessment area. 2. Write a 2000-word enterprise data management solution for the company 3. The solution should discuss how it helps the company to solve the technical or operational complexity of handling data. Eg1: problem of securely maintaining customer data can be solved by implementing data security practises, setting up a security framework that establishes right users to get access to the data, continuous audit will help to monitor any malpractice etc. Eg2: poor data quality issues can be solved by implementing data quality measures 4. Remember not to deep dive into any topics, the solution is more at a conceptual level 5. Please address the below areas - Identifying the business requirements and existing issues in data operations (explain techniques used collecting requirements) - Data management operations relating to the various kinds of data that the company deals with. - Data Architecture (provide example of a proposed architecture that will help in processing the data e.g. ETL(datawarehousing or cloud solution) - Data quality measures - Metadata management - Handling legacy data - Data migration - Data archival - Data governance measures - Data privacy - Expected benefits 6. The areas listed above are indicative and are in no sequence. When addressing this in the solution, please ensure you write in an orderly fashion. Also, any other data management areas not listed above can also be covered. 7. You are strongly advised to read the rubric, which is an evaluation guide with criteria for grading your assignment. The bank was established in 1970 s and has a huge customer base. It has good reputation across Australia and its customer base is rapidly increasing. The Bank is in the process of modernising their IT systems and they find managing data and its related components as a significant overhead. Currently, there around 600000 customers and the bank is aiming for a million customers by the end of the year. The current systems and processes are outdated, and bank is struggling to manage the new customer requests, managing operations and customer satisfaction. The bank uses excel sheets, Access DB and old version of Oracle DB for handling the data. Generating reports is time consuming due to the nature of the disbursed data sets and lack of integrity. Improving customer satisfaction by solving customer complaints quickly is one of the prime motives of the bank. The current systems don't store the complaints data properly for efficient reporting and analytics and there is poor data quality. There is no proper governance and security measures defined for handling the data. In order to better plan and organise the data the CTO has requested for a data management solution. The CTO wants the business users to concentrate building new business rather than wasting time in handling mundane tasks relating to data management. Instructions 1. Read the case scenario provided in the assessment area. 2. Write a 2000-word enterprise data management solution for the company 3. The solution should discuss how it helps the company to solve the technical or operational complexity of handling data. Eg1: problem of securely maintaining customer data can be solved by implementing data security practises, setting up a security framework that establishes right users to get access to the data, continuous audit will help to monitor any malpractice etc. Eg2: poor data quality issues can be solved by implementing data quality measures 4. Remember not to deep dive into any topics, the solution is more at a conceptual level 5. Please address the below areas - Identifying the business requirements and existing issues in data operations (explain techniques used collecting requirements) - Data management operations relating to the various kinds of data that the company deals with. - Data Architecture (provide example of a proposed architecture that will help in processing the data e.g. ETL(datawarehousing or cloud solution) - Data quality measures - Metadata management - Handling legacy data - Data migration - Data archival - Data governance measures - Data privacy - Expected benefits 6. The areas listed above are indicative and are in no sequence. When addressing this in the solution, please ensure you write in an orderly fashion. Also, any other data management areas not listed above can also be covered. 7. You are strongly advised to read the rubric, which is an evaluation guide with criteria for grading your assignment. The bank was established in 1970 s and has a huge customer base. It has good reputation across Australia and its customer base is rapidly increasing. The Bank is in the process of modernising their IT systems and they find managing data and its related components as a significant overhead. Currently, there around 600000 customers and the bank is aiming for a million customers by the end of the year. The current systems and processes are outdated, and bank is struggling to manage the new customer requests, managing operations and customer satisfaction. The bank uses excel sheets, Access DB and old version of Oracle DB for handling the data. Generating reports is time consuming due to the nature of the disbursed data sets and lack of integrity. Improving customer satisfaction by solving customer complaints quickly is one of the prime motives of the bank. The current systems don't store the complaints data properly for efficient reporting and analytics and there is poor data quality. There is no proper governance and security measures defined for handling the data. In order to better plan and organise the data the CTO has requested for a data management solution. The CTO wants the business users to concentrate building new business rather than wasting time in handling mundane tasks relating to data management