PlanIQ Best Practices

image.png

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!

 

MarinaL_0-1626892984548.png

 

PlanIQ - Deep dive on the Algorithms under the hood

Learn more about Baseline time series algorithms, Flexible local algorithms and Neural network algorithms.

MarinaL_0-1626893087103.png

 

PlanIQ - Dealing with outliers

Outliers in time series data are values that differ greatly from the rest of the time series. Learn how to handle them as part of PlanIQ!

 

MarinaL_0-1626893178854.png

 

PlanIQ - How to use item attributes to refine your forecast

Metadata attributes are static, non-time dependent categorical text features that describe the items in the historical time series.

Learn how to use this data to improve your forecast!

 

MarinaL_1-1626893233986.png

 

PlanIQ - How to manage NULL values

Null represent missing values for specific points in time.
Learn how to manage them within your data set.

 

MarinaL_2-1626893271128.png

 

PlanIQ - Probabilisitc forecasting using forecast quantiles

PlanIQ algorithms produce probabilisitic forecast quantiles, which refer to a distribution of possible values. 

Learn more about those values and how to use them wisely based on your use case!

 

MarinaL_3-1626893309762.png

 

PlanIQ - Algorithm selection by item: Mix and Match your forecast!

What is algorithm selection by item? 

Learn more about "model blending" - the use of more than one algorithm to produce optimal forecasts across multiple items.

 

MarinaL_4-1626893346660.png

 

PlanIQ - New Product Introduction

All you ever wondered about starting your forecast from scratch!

 

MarinaL_5-1626893380483.png

 

PlanIQ - Design and build your item list for forecasting

What is the best practice for concatenation in Anaplan? 

A step-by-step overview for creating a concatenated item list.

 

 

 

 

Tagged:

Categories