Are you considering HyperModel for your ecosystem, or have you recently deployed it? Fantastic! We've compiled a shortlist of the top five tips to help make kicking off your HyperModel experience as smooth as possible.
Check out these top 5 tips to improving your experience:
1. Recognize That the Hyperblock Has Not Changed
With HyperModels, only model/workspace sizes and the available memory are increased.
The Hyperblock engine remains the same, meaning:
Calculation performance is the same. HyperModel performance is dependent on modeling best practices and how the model is constructed.
Hyperblock dictates the maximum block cell count.
The following functions maintain the same limit set of 50 million cells, which may be easier to reach with HyperModels:
2. Embrace Sparsity
Sparse modules are not inefficient when it comes to calculations. The Anaplan Hyperblock engine is designed to work with multi-dimensional structures. At its heart, the Directed Acyclic Graph (D.A.G.) indexes data to calculate only what is needed when upstream data points have changed.
Model size can often be reduced with increased multi-dimensionality by reducing list sizes. For example, this could apply to transactional lists that include dates. For more information, see Data Hubs: Purpose and Peak Performance.
Try to reduce using summaries and top-level summaries to maintain optimal HyperModel performance. The increased scale with HyperModels means there's more data to aggregate, which may result in slower summary calculations.
If a summary is only needed on one or two dimensions in a multi-dimensional line item, we recommend turning off the summary and creating a new line item for that specific summary.
The content in this article has not been evaluated for all Anaplan implementations and may not be recommended for your specific situation.
Please consult your internal administrators prior to applying any of the ideas or steps in this article.