annejulie 
-
Forecaster: Dealing with outliers
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 seasona…2 -
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 data. Examples for attributes could be style, category, geographic l…2 -
PlanIQ - Probabilistic forecasting using forecast quantiles
Probabilistic forecasts & forecast quantiles PlanIQ produces probabilistic forecasts. This means that PlanIQ algorithms output a distribution of possible values, rather than a single point foreca…2 -
Power BI - This is how we use it. Part 3: Use Case - Leveraging Power BI Service.
Now that you know the basics of the Power BI connector and how to set it up, let us move to a real use case; Why using Power BI Service could help you to get the most of the Power BI connector? The b…3 -
How to use Talend with CA Certs and Transactional APIs
In this article, we will illustrate an example of real-life scenario involving Anaplan's Transactional APIs with Talend and CA Certs. If you haven't already, we recommend to start your CA C…2
