Is there a slide or resource I can refer to that: describes a high level overview of the different use cases for Predictive Insights, Optimizer and Plan IQ My understnading is : PlanIQ - Uses time bas…
Hi I'm curious about how to set the data collection - historical data. I want to make a prediction about revenue, and have some historical data. but I also have other historical data, which is revenue…
Hello. I'm new to PlanIQ feature and confused with the error message below- the one says "the related data does not include forward looking information" my understand on historical data is, that I hav…
Hello while making the data collection for PlanIQ, I faced with "internal server error" and failed data collection. By adjusting the original module (by putting time dimensions for row), the issue is …
Rapid and unanticipated market changes require business leaders to leverage internal and external data to predict the future, rather than extrapolate from the past, in order to orchestrate the busines…
Start here: PlanIQ overview and resources Are you are interested in starting time series forecasting with PlanIQ on Anaplan, but you don’t know where to start? You have come to the right place! Here a…
PlanIQ Best Practices In the articles below, you will find many of PlanIQ's best practices. Learn how to deal with outliers, how to manage NULL values, how to use forecasting quantiles and many more! …
Hi, I tried implementing the basic setup of PlanIQ with a simple flat list . I have created the historical module using the same flat list with time dimension and created the export action for the sam…
We launched Plan IQ at our Anaplan Live / Digital CPX with the interest around it being incredible. How does it help customers? The main areas for me; • Provides a business friendly approach to intell…
If you were able to join us for CPX then you would have heard the exciting news that PlanIQ is our latest release - putting the power of intelligent forecasting, with an in-built predictive engine, di…
Outliers in time series data are values that differ greatly from the rest of the time series. Outliers can be caused by measurement errors, data entry errors, organic real occurrences such as seasonal…
In real-world forecasting applications, it is common for datasets to contain null values, which represent missing values for specific points in time. There can be multiple reasons for the presence…
What is algorithm selection by item? Algorithm selection by item is the use of more than one algorithm to produce optimal forecasts across multiple items. Instead of using forecasts generated by a sin…
New Product Introduction (NPI) or Cold Start in time series forecasting is a scenario where forecasts should be produced for new items (e.g. new products, new SKUs) for which there is limited historic…
Metadata attributes are static, non-time dependent categorical text features that describe the items in the historical time series data. Examples for attributes could be style, category, geographic lo…
* What is the best practice for concatenation in Anaplan? * Step-by-step overview * Level 1 – code inefficient * Level 2 – code better * Level 3 – Code to use * Level 4 – Optimized code to use * How d…
Anaplan Extends Intelligence Capabilities with PlanIQ for Predictive Forecasting and Agile Scenario Planning September 15, 2020 New integration with Amazon Forecast arms business users with easy to un…
