Datamodel

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Datamodel by Mind Map: Datamodel

1. How

1.1. Dimensions

1.2. Cubes

1.3. Functions

1.4. Rules

2. Why

2.1. Optimise cycles-within-cyles

2.2. Centralised repository

2.3. Forecasting and Planning

2.4. Shareable forms and reports

2.5. Easy to use modelling

3. What

3.1. Informatics Product

3.2. Technology: Palo/Jedox

3.2.1. Cube

3.2.2. In-Memory

3.2.3. Interface

3.2.3.1. Web Interface

3.2.3.1.1. Linkable forms and reports

3.2.3.1.2. Integrate with Google Charts

3.2.3.2. Excel on Steroids

4. Who

4.1. Platform Owner

4.1.1. Neil Fraser

4.2. Platform Support

4.2.1. Analytics

4.3. Business Application Owners

4.3.1. LPSG (Suzanne Kelly)

4.3.2. OFS (Scott Jenkins)

5. Where

5.1. Product Page

5.2. datamodel.mq.edu.au

6. Demonstration

6.1. Student Load Planning

6.2. End User Survey

6.3. Budget and Forecasting POC