Data and Information Management

Assessment: Research Report

Assessment  Detail

Data are vital to business. Whether it is easy to access real-time data or the availability of advanced technology to process and analyse these data, enterprises are trying to make the most of this precious raw material. Data management in today`s world needs a modern approach to effectively handle the complex problems of dealing with multiple data formats.

Data management is the process of collecting, sorting, arranging, and managing vast amounts of data to help businesses derive valuable insights from it. From data governance to data architecture and security, modern data management is a multifaceted discipline. But following the modern data management approach is not easy, especially for enterprises that are used to traditional business methods.

In your report you need to research on the modern data management approach in an enterprise. You need to research and explain the following topics:

What are structured and semi-structured data?
Explain pros and cons of structured and semi-structured data.
Research typical use cases (applications, business areas, information systems) for structured and semi-structured data
Explain the necessity of data management for every business.
Explain Data Management in the following areas:

• Data Security
• Data Destruction
• Data Warehousing and business intelligence management
• Document and record storage
• Data governance
• Data quality management

Research and explain modern data architecture components and characteristics (infrastructure architecture, parallel and distributed processing, scalability, open data access, automation, elasticity, intelligence, governance etc.).
Research the modern data architecture of a selected Cloud service provider. For example, you can consider Amazon Web Services (AWS), Google Cloud, Microsoft Azure etc.

Your report should contain the following sections:

• Cover page
• Table of contents
• Abstract
• Introduction
• Background to study: literature review, and how your study fits in
• Methods: how the study was carried out, and how data were analysed
• Discussion of results
• Conclusion
• References