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Following a lot of recent questions from customers and partners I wrote this article about related data and PlanIQ. Hopefully you find the article useful. Feel free to comment.
Our Forecasting data science team has recently released new enhancements to Explainability in Anaplan Prophet and MVLR. Previously, PlanIQ engine was able to identify lagging indicators among the related data. So, for example, if change in certain indicator, for example fuel price, would have a delayed impact of 1 month or…
Good morning, We have recently updated PlanIQ training for most up to date features and insights - Enjoy!
https://community.anaplan.com/discussion/155032/planiq-considerations-before-starting-to-forecast
We're happy to announce an enhancement that will make troubleshooting of Forecast Action errors easier. We know that in some cases, import errors are causing forecast actions to fail. Until now it was fairly difficult to troubleshoot them but with the recent enhancement it really becomes super easy. Now, if forecast action…
This article is meant to provide guidance that helps PlanIQ practitioners understand how the data in the "data collection" in PlanIQ is used in the training and running of a forecast model. This article also explains how PlanIQ users can change the data source for existing forecast models. What is the "data collection"?…
Earlier this year The International Institute of Forecasters launched a podcast called Forecasting Impact. The inaugural guest was Rob Hyndman, a bit of a celebrity to those of us engaged in the forecasting community. Rob heads the Department of Business Statistics at Monash University and authored many of the open source…
PlanIQ pricing is fixed, and based on the number of expected predictions that will be running each month. Determining the number of expected monthly predictions typically requires a good understanding of the desired outcomes of the forecasting process. Let's consider the following situation... If we need a monthly forecast…
Sometimes this is the kind of output that ETS and ARIMA produce. When the historical data doesn't have strong seasonality the forecasting model may find it difficult to predict the future. Therefore it simply takes average of your previous values.
Hello dear Anaplanners, I would like to know if it is possible to trigger an Forecast Action in PlanIQ only on a subset of products. The use case is that planners can change some related data and quicly see the impact on forecast by running an action in a dashboard. The action would trigger only products where related data…
Hi, I am facing the mentioned error while setting up Forecast Actions. I checked the data types in both the source and target module, they are the same. Still getting the error. Please let me know what can be the reason for this error.
What is the optimization metric for each forecast model when Anaplan AutoML and Amazon Ensemble are NOT used? Setting this parameter only applies to Anaplan AutoML and Amazon Ensemble.
Hello, After importing backtest results I'm noticing that the level of the backtest does not agree with the level of the forecast results (screenshots below) and this is across all foreecast nodes. Thankfully, the level of the forecast results seems to align with the level of historical actuals. Unfortunately, the…
Hi As many of your would be aware with time series forecasting which incorporates covid data we would like to exclude some dates with the historical data. Or exclude some volume shocks. Anaplan provides "Exclude" functionality. Wondering if anyone out there has used it?
Hello, Is it possible with PlanIQ to export historical results from one source (e.g. Data Hub) into PlanIQ and import the forecast results to another source (e.g. spoke model) from PlanIQ? Or do source and target need to be contained within the same model?
Hello, wanted to address an issue our team is facing and see if anyone has run into similar issues with PlanIQ. Every week we generate a new PlanIQ forecast based on incremental historical data that becomes available to us. I.e., in Week 1 FY23, we generate a forecast based on historical data from prior periods through…
This article explains individual algorithms provided by PlanIQ. However, it does not address the automated methods provided by PlanIQ. As a customer you have several options: Use one of the automated methods as described below. Use combination of individual algorithms and automated methods and perform algorithm or method…
As some of you may know, attributes component of the data collection is mainly used by advanced ML algorithms, such as Amazon Ensemble, Anaplan AutoML, DeepAR+ and CNN-QR. Attributes allows those methods and algorithms to look at similarities across time series (items) and learn from them in order to improve forecast…
