We’ve updated the reclassification requests lists to make reviewing new pending requests even easier. All the tables are now sorted by the date of the request, with the newest on top so you never miss a request again. The header row of the requests table is now locked, so when you scroll to older requests you can still know which column refers to what. Happy reclassifying!
To make it easier for users to find the upload data section, we have renamed the “Supplier enrichment files” link in Spend tools to "Upload data". This change reflects all the possibilities you have to upload data to Sievo. Nothing has changed in terms of where you’ll find the tool or how it works.
The key performance indicator boxes, often shown on top of the dashboards, got a updated styling with new fonts and sizes to make them easier to read. This change is most visible on the dashboards with lots of KPIs such as Spend Overview, Insights Overview and Payment Terms simulation dashboards (both currently in rollout phase). You are now also able to copy graph header as you can select the header text.
In order to have a long enough time horizon for your volume forecast data, you almost always need to use volume forecast sources that don’t yet have complete information on the supplier you are going to buy your materials from. To overcome this issue, you have two options: 1) forget the supplier information in your forecasting or 2) somehow enrich your volume forecast data with supplier information.
Option 1 is not great as your prices are much depended on suppliers and giving price forecasts without supplier information can be a bit tedious. So, you would like to go with option 2, but manually enriching your volume forecast data is very cumbersome. But worry not, Sievo is here to help! Our new supplier split feature is designed to provide the option 2 in an automatic and integrated way. It splits your not-on-supplier-level volume forecast data to include supplier information based on your historical spend patterns or info record data.
Previously Materials Forecasting was limited to utilize only one source data set (for example planning volume forecast data) to define what rows (materials, plants and suppliers) are included in a new rounds. It turned out that this was too restrictive an approach to ascertain that new rounds always had all the needed rows. Luckily, the solution was quite simple and now you can add two source data sets to be used when rows are defined for a new round. Maybe next month it will be three - who knows?
The core of Materials Forecasting is forecasting volumes and prices on material level. However, this detailed approach does not always give the full picture on spend, savings and PPV when figures are looked on category level. Overlays enable users to enter higher-level overlays to adjust and complement the figures derived with detailed material level forecasts.
The new course will teach you how to use the new Insights Overview dashboard. Read about each insight area, their benefits and use cases with recommended steps to follow in your insight exploration, and view videos showcasing example scenarios.
You’ll find Insights Overview course in Sievo Academy. Navigate to Sievo Academy from the bottom of the navigation panel and find the course under Spend Analytics area or by using this link academy.sievo.com/insights-overview