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Big Data Analytics for Decision-Making

Task 1: Analysis of Key Data Sources and Flows

Task 1
Analyse the key sources and flows of data that are collected, processed, stored and taken into account in the organisation’s decision-making process. Your analysis 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.

Task 2
Based on the outcomes of your response to Question 1, propose how decision making in the  organisation can be streamlined and better informed 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.

Task 3
Critically analyse a specific decision the organisation currently needs to make, and how bigdata can be expected to improve its quality. Your response must include:A statement of major strategic decisions and how the current financial and non-financial data are currently used to inform the respective decision making; Analysis of a particular strategic decision that needs to be made within the organisation based on data analytics, and the critical importance of this decision for the organisational competitive advantage or performance improvement; Identification of a specific data set to be analysed for supporting the stated decision. The assignment must utilise a large data set obtained from the chosen organisation.

Task 4
Discuss the specific large dataset discussed in Task 3. Analyse this dataset in terms of:The business-related information the dataset represents; An explanation of how it has been obtained and what steps are taken for data filtering, cleaning and preparation; An analysis of how representative the data set is, and potential limitations associated with its application.

Task 5
Discuss the data mining procedures performed using Excel, SPSS and / or Weka with the dataset in question that can be used to inform decision making. Include in your discussion:Statements of immediate observations of business performance using descriptive data analysis;An organisational forecast report based on inferential data analysis and / or application of machine learning techniques.Justification and critical evaluation of specific statistical models adopted in the data mining procedures.

Task 6
Present a visualisation and interpretation of results as would be expected in business and academic reporting – this interpretation must be supported extensively by tables, charts and diagrams demonstrating how the outcomes of analysis performed in the previous task can be interpreted.

Task 7
Present recommendations for decision making based on the analysis described earlier as well as a proposal on the deployment of extra data sources potentially capable of further augmenting the organisational big data framework.

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