Find performance improvements worth billions in profits, price and working capital.
Trufa has released Trufa 6.1.28, the latest update of our Performance Management Machine for operational decision support based on free cash and profitability analytics.
NEW Slide-up Context Information
Reveals on each page context information depicting opportunities available in this situation.
NEW Explanation Overview
View the mechanics of the opportunity generation bots running in the background.
Detect in your process flow treatable bottlenecks and their potential improvement.
Interpret the dependencies among indicators, and among indicators and drivers.
Highlights of release Trufa 6.1.24
NEW Inventory Simplifications
Perform complexity reduction analyses on storage location and special stock.
NEW Simplifications Simulations
Increase profitability by balancing profitability increase with revenue decrease.
NEW Tunings Management
Manage the tunings list for reducing complexity.
Additional Alerts Types
Increase time value of information with prediction-based and TPI-based alerts.
Trufa 6.1.24 introduces the Simplifications Simulations.The typical objective of Simplifications (complexity reductions) is to increase profitability. In order to achieve this you have to balance profitability increase with revenue decrease. You can simulate your simplifications in order to understand their financial dimensions by clicking on the curve (as in Simulations). These simulation points are saved as Tunings in order to further evaluate them over time.
Highlights of release Trufa 6.1.20
NEW Confidence Bands
Assess the accuracy of the selected simulation.
NEW Simplifications Page
Perform basic complexity reduction trade-off analyses.
Analyze all sorts of structural complexity drivers.
S/4HANA Use Case
Compare your process complexity before and after the adoption of S/4HANA.
Highlights of release Trufa 6.1.16
NEW Process Simplification Analysis
Compose your own Areas out of designated Controls.
Cluster analysis enhance the prioritization of the TPI generation bots.
Now supports Excel as a target.
Compare the actual values with the predicted ones.
Highlights of release Trufa 6.1.04
NEW Federated Process Analytics
Reconstruct and analyse business processes which are spanning multiple ERP systems.
NEW User-Defined Events
Create external events or compose one out of existing internal events.
Cluster Root Causes
Start the Root Cause Analysis to determine the responsible filter dimensions.
Now create your alerts directly out of the Alert overview and your Activities.
Highlights of release Trufa 5.1.48
New Activity Card
Enables business users to see all information related to an Activity, such as Alternatives and Targets.
Now act directly on your alert from the overview page.
New Potential Drivers
New potential drivers (sample ratios) in all business functions extend and enhance the possibilities for measuring the aspects of the business process that directly affect results or outcomes.
“Does it make a difference whether my material is configurable or not?”…
Binary ratios are now also supported in Make.
Trufa 5.1.48 features a totally reworked Activities page. Following the lead of our customers we are emphasizing the collaboration over the management aspects now.
On the left hand, you find the inventory of all your current Activities. You can switch the view between All, Alternatives and Targets. In addition, you can lock individual Activities and just display those.
On the right hand, you find the so-called Activity Cards now.
Highlights of release Trufa 5.1.44
New Analysis: Clusters
Enables business users to see and further analyze how objects differ across their data.
Net Promoter Score BETA
Correlate customer satisfaction score with financial performance indicators.
New business process detection algorithms extend and enhance the core process view across the complete cash-to-cash cycle.
iOS Compatible & Accessible
Trufa can be accessed via iPad, iPhone & Apple Watch. iOS 10.1 or higher.
Trufa 5.1.44 adds cluster analysis support to Simulations. Cluster analysis groups set of objects in a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). Dominant and outlier clusters can be differentiated and further analyzed.