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Your EPM Project

Secure financial data input

Poor data quality can erode turnover by 15 or 20% (the annual loss of earnings in the USA is estimated to be 3 billion dollars!).

Improve data quality in your EPM

All too often the data quality issue is only considered after data has already been stored in your EPM.

Share the same business repository in headquarters and business units

Share with your staff all the information they need to assure input data quality. Wherever they are located, they should receive the same information.


Secure your data financial processes


Drive closure and forecasting processes


Train users on new rules and regulations

Make your EPM data entry more reliable

The Shortways Virtual Assistant addresses the challenge of poor quality data at its source by assisting end-users who are the origin of three quarters of all data quality problems.

The Assistant delivers relevant business information to users quickly and efficiently by embedding information directly in business applications (Oracle EPM, SAP FC, Anaplan, etc.). In a click users can have access a wide range of training content: reporting guides, consolidation, manuals, charts of accounts, indicators, definitions, controls and instructions for filling in forms. Our solution centralizes and distributes the knowledge of in-house experts.

Many large groups, including Sodexo and LafargeHolcim, have adopted the Shortways solution to make input data more reliable and reduce user-related risks. What about you?


Make financial processes easier


Gain trust in your key performance indicators


Reduce support requests by 15%


White Paper

Consolidation & Reporting – The User: The key to high quality financial data

The Consolidation & Reporting function faces many problems making it difficult to fulfill its prime mission of producing reliable figures and data. The Consolidation & Reporting activity employs processes, Information Systems (IS) and men and women, all of which require regular adaptation to guarantee data quality.

whitr paper financial data

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