Data handling and Decision making audit

Data handling and Decision making audit

Assignment 1 Task – Audit Essay

THIS MUST BE SUBMITTED ON 14/04/19 that is 14 of April, 2019.
This assignment is worth 20% of the overall marks for this module.
An audit of the data environment an organisation operates in represents a starting point in developing a big data analytics framework, and as such, is a key part of data enabled decision-making at all levels. This audit includes the following processes:
• Identification of major data sources and flows between the organisation and its stakeholders;
• Formulation of the improvement in data integrity as well as its storing, processing and reporting mechanisms;
• Recommendations on compliance procedures, specifically, data protection, privacy and ethical assurance.
The aim of this assignment is to conduct and report on an audit of the data environment in an organisation of your choice.
NB: Organisation name, other business or stakeholder particulars and any personally identifiable information can be fully anonymised.
QUESTION 1
What are the key sources and flows of data that are collected, processed, stored and taken into account in the organisation’s decision-making process? Your response must include:   • A statement of all the current financial and non-financial data the organisation uses in its decision making.
• An analysis of data integrity and identified gaps.
• A map between business functions and data sources.
 (300 words) (30 marks)
QUESTION 2
Based on the outcomes of your response to Question 1,
A specific proposal must be developed on a streamlined and more informed decision making based on
 (a) Additional analysis of the currently observed data and
 (b) Any extra types of data that can be retrieved, stored and processed for augmenting the currently available information. Your response must include:
• Description of data flows between the organisation and all of its stakeholders identified and ranked in terms of their relevance to strategic, tactical, and operational decision making.
• An approach to the improvement in data integrity of the proposed data analytics framework.
• Data protection and ethical assurance requirements.
 (700 words) (70 marks)