In this group, you'll find resources and a discussion forum to discuss PlanIQ. Join the Group to get started.
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…
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…
Fellow PlanIQ users, we are constantly working on adding more best practices and documentation. Are there issues that you feel you're struggling with? Is there anything where we could provide better documentation? Let us know!
Our team has recently published two great how-to documents that might be of interest to all * Introduction to forecast evaluation * Using a backtest window to assess forecast model performance We hope you find those useful!
During the recent months, our product team and engineers have released variety of features to PlanIQ: * Anaplan PlanIQ is now able to leverage Anaplan's native forecasting engine that runs in parallel with Amazon Forecast engine. The first algorithm supported by our engine is MVLR. MVLR offers fast, advanced statistical…
We have a Data Warehouse that we use as a central source for our corporate data. We want to allow PlanIQ to leverage this and facilitate a full integration of our ecosystem’s data with Anaplan.
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.
Hi All, I have created some scenarios for PlanIQ & everything is working well. Output file is getting generated as per different algorithm etc. Just wanted to know, what kind of calculation is being performed for these algorithm - I mean what is the calculation matrix for Anaplan AutoML vs Amazon AutoML. Is there a way to…
Some of you might wonder, how can PlanIQ leverage related datasets that are external to company's data, for example custom holidays, demographic data, or projected industry growth. This article explains how such datasets can be added to your related data module and leveraged by PlanIQ. We will use Kaggle's Favorita dataset…
