ITECH7407 Real Time Analytics

Your task is to complete the following tasks:

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- Create Data View/Cube

Data Modelling and Provisioning Upon selecting the dataset, convert the dataset into HANA data cube/view by following the SAP HANA data modeling and provisioning technique using SAP HANA Web-based development workbench. The name of the cube/view should be the student ID of one of the group members.

Task 3 – Perform Data Mining on data view

For your project, perform the relevant data analysis tasks on data view/cube (created in Task 2) 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.

Task 4 – Research

Justify why you chose thee BI reporting solution/dashboards/data mining technique in Task 3 and why those data sets attributes are present and laid out in the fashion you proposed (feel free to include all other relevant justifications).

Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis from Task 3.

Task 5 – Recommendations for CEO

The CEO of the chosen company would like to improve their operations. Based on your BI analysis and the insights gained from your “Dataset” in the lights of analysis performed in previous tasks, make some logical recommendations to the CEO, and justify why/how your proposal could assist in achieving operational/strategic objectives with the help of appropriate references from peer-reviewed sources.

Task 6 – Cover letter

Write a cover letter to the CEO of the chosen firm with the important data insights and recommendations to achieve operational/strategic objectives