Question

A large direct health and insurance medical provider needed an enterprise information management system to enable enterprisewide information management and to support the effective use of data for critical cross-functional decision making. In addition, the company needed to resolve issues related to data redundancy, inconsistency, and unnecessary expenditure. The company faced several information challenges: The company data resided in multiple locations, the data were developed for department-specific use, and there was limited enterprise access. In addition, data definitions were created by individual departments and were not standardized, and data were being managed by multiple departments within the company.

• Given the situation, What solution would you propose for this company?
• Discuss the role that data modelling would play in a project to solve this problem.
• Support or Oppose the above statements with arguments

without handwriting please, thank you.

Answer 1

1) Mitigate Errors:

Effective data management could helps in reducing potential errors that could occur as well minimizing the damages caused by very bad data. The occurrence of processes such as copy-paste, drag as well as drop, linking of relevant documents, the likelihood among data errors. Hence, an effective data management approach & data quality initiative can be implemented for better control.

2) Efficiency Improvements drastically:

If data is being managed, updated, as well as enhanced properly within the specified time, Then there is a chance of increasing an accessibility efficiency exponentially. , If the data is not correct, erroneous data which leads to huge waste time and computer resources.

3) Protection From Data Related Problems as well as Risks:

Security of data is one of the most important in the current scenario. Proper data management which oculd helps in ensuring vital data which never lost as well as protected inside the company. Data security is a core part of data management strategy. It protects all employees as well as organization from various data losses, various thefts, and eventually breaches.

4) Data Quality Improvement exponentially:

Good data management strategy could helps in improving data quality as well as data access. Henceforth, best search results are obtained in an organization with best and very faster data access to the company's data, that can help in dynamic decision making.

Data Management Solutions is one the leading data management platform currently available in market that can capture data, clean the data, protect the data and eventually enrich all the data inside DB in real time. Data management solution usually save lot of time, cost and energy.