Get more flexibility in ALM: Identify sources and imports as Production Data
For example, if your organization is spread across multiple geographies, you may want mark and organize production data in different ways for each region. Although you can run a generic import and manually customize the data set to fit your regional needs, that’s a poor use of your valuable time. With the new version of ALM, you can save time by instantly configuring regional data by marking your import data source (IDS) definitions and imports as production data in deployed mode. This marking will be synced from your source to the target model.
As an added bonus, you can navigate a model and adjust its view in a read-only state while running an export.
Make every change count: Track, revert, and create models using Revision Tags
As you change your models, it is good practice to track and maange changes with revision tags. Now, you can get the play-by-play of all changes in your model history, including when you add a revision tag, copy or import a model, or make synchronization changes.
Make changes on-the-fly with peace of mind because everything is tracked chronologically. Pivot quickly by reverting your model to a previous structural state without affecting production data.
Once you have made your revisions, you may want to create a new model. With 2017.3, you can create a brand-new model based on the revision tag. The revision will include all of the structural information (based on the revision tag) without any of the original production data. This saves both time and workspace.
If you want to explore the differences between source and target models, you can now download all of the structural differences between them in a tab-delimited file.
See only the most relevant information
Customize your charts to tell the whole story
Customize your charts and use color to tell the story behind your data. Set waterfall chart colors, edit series colors on a combination chart, or override the series color on all charts with new capabilities in 2017.3.
For example, you may have selected a few palettes for your chart colors, but what if you want to apply one master color series to multiple charts to unify their appearance? Now you can create a consistent view of your data by selecting the series chart option in your dashboard. When you assign colors to types of data (e.g., forecasts in blue and actuals in green), you can more easily detect trends in your data.
Anaplan App Hub reaches 200 apps
- NPI – Stages and Gates (Barkawi)
- Supply Planning (Anaplan)
- Statistical Forecasting (Finext)
- Supply Chain Inventory Planning (Solvanni)
- Customer Segmentation (Valizant)
- Product Segmentation and Demand Policy (Valizant)
- Weekly Stat Forecasting for Finance, Sales, and Supply Chain (Anaplan)
- Demand-Driven Distribution (Valizant)
3P Quotas: Predict, Perform, Perfect (ZS Associates)