Federated Process Analytics (FPA)

Trufa supports Federated Process Analytics (FPA). FPA allows to reconstruct and analyze business processes which are spanning multiple ERP systems. Example: a procure-to-pay process starting in a Logistics ERP system and ending in a Finance ERP system.

Trufa Federated Process Analytics

Analyzing processes which are spanning multiple ERP systems poses a multi-dimensional intertwined problem. Often corporate knowledge about rationale and implementation of cross-system processes is fading since these constructions have grown over many years. Typically mapping tables for master data and document ids have become outdated and don’t reflect the reality in the participating systems anymore. And since there is no technical enforcement of consistency across multiple systems usually more dead wood (orphaned data and processes) has assembled over the time confusing things even more.

Considering these complications Trufa introduces a new process reconstruction algorithm as well as a new system consolidation method.

The new process reconstruction algorithm leverages pattern matching to string the process segments of the various ERP systems into a complete process chain again.

The new system consolidation method relies on iterations to accommodate as many as required participating systems. At any given point in time there will be only two Trufa systems married till the complete process chain has been reached again.

Conceptual Benefits:

Going-live system by system

No need for upfront system consolidation

Customer investments (system landscapes) are fully protected.

System gaps can be analyzed

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Orphaned data and processes can easily be identified

What is Cross-System Metric?

A Cross-System Metric (CSM) is a (Business) metric composed out of the same (Business) event recorded at different times in different ERP systems.

Under multi-system circumstances there might be the situation that the same (Business) Event is recorded at different times in different ERP systems. For example, the arrival of goods is recorded earlier in the logistics system than in the finance system.

This situation can be analyzed by creating a Metric with the same starting and ending Event but differing system dates.

Examples:

Goods Received (Source)

In a case where the business process is divided between a logistics and a finance ERP it is common that the Event Goods Received will occur first in the logistics and only afterwards in the finance ERP system. This might entail improvement potential regarding too early payments.

Goods Issued (Deliver)

In a case where the business process is divided between a logistics and a finance ERP it is common that the Event Goods Issued will occur first in the logistics and only afterwards in the finance ERP system. This might entail improvement potential regarding too late invoicing.

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