IBM Accelerator Catalog
This model provides organizations with an overview of what can be done around sustainability and responsibility with Planning Analytics with Watson. Reporting standards are using the group of KPI as several custom forms. Goal details would depend on the company's maturity for sustainability and their data collection.
Applies to: IBM Planning Analytics with Watson 2.0.72 to Current
The sustainability reporting has been on the rise in importance around the globe creating high demand for that account. This sustainability accelerator was created by the IBM Spain Sales division to help companies manage their sustainability data, set up their targets, create and track their ESG initiatives, analyze, and report. This accelerator demonstrates how organization can easily manage their Environmental, Social, and Governance (ESG) models and data. The idea of this model is to give organizations an overview of what can be done around sustainability with Planning Analytics with Watson. Reporting standards are using the group of KPI as several custom forms; goal details would depend on the company maturity for sustainability and the data collection.
Note that just some goals had been set up in this model; use, for example, goal 13 for Climate Action to get the ideas.
Download and watch this video from the author of this free accelerator. This MVP offers the structure and data model so that the organization can start with sustainability regarding data collection and reporting much faster.
This Planning Analytics sample model demonstrates good model design principles. It was built using Planning Analytics Workspace and contains examples of cubes, dimensions, hierarchies, and calculations. The ZIP file also contains the compressed .GZ file with the associated book set.
For installation instructions, see Planning Analytics sample databases and books installation guide.
You design a model in response to a business need. For example, a company wants to plan its expenses for the next 12 months by expense line. The company collects the information from a number of departments that are spread across a wide geographical area.
A model has the following basic building blocks: dimensions, cubes, and links.
Multidimensional cubes are central to the model. You create views from the cubes so that you can see just the information that you need, and you can have many different views of the same cube. For example, a regional manager might want to review data at a consolidated level, and a department manager might want to input the detailed data for their department. They use the same cube but see different views.
For more information, see Steps to building a model.
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