Highlights
Task:
Overview
For this assessment task, you will work in a group to analyse a selected data set and provide recommendations to the leadership of the company based on your findings.
Learning Outcomes Assessed
The following course learning outcomes are assessed by completing this assessment task:
S1. Integrate data warehouse and business intelligence techniques when using big data.
S2. Create flexible analytical models based on real time data, and use connectivity interfaces and tools for reporting purposes.
S3. Use real time performance analysis techniques to monitor data, and identify shifts or events occurring in data, as a basis for organisational decision making.
S4. Use real time mobile tracking techniques to utilise mobile-specific usage data.
K3. Communicate the key drivers for big data in terms of efficiency, productivity, revenue and profitability to global organisations.
K4. Identify and describe types of big data, and analyse its differences from other types of data.
A1. Communicate security, compliance, auditing and protection of real time big data systems.
A2. Adopt problem solving and decision making strategies, to communicate solutions to organisational problems with key stakeholders, based on analysis of big data, in real time settings.
Task 1- Background information
Write a description of the selected dataset and project, and its importance for your chosen company. Information must be appropriately referenced.
Task 2 – Perform Data Mining on data view
Upload the selected dataset on SAP Predictive Analysis. For your dataset, perform the relevant data analysis tasks on data uploaded using data mining techniques such as classification/association/time series/clustering and identify the BI reporting solution and/or dashboards you need to develop for the operational manager of the chosen company.
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