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 Course details
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Length : 1 day  Language(s) : DE / EN

 Prerequisites : Abacus360 Banking - Basics  Price Ex. V.A.T : €1150

 Upcoming sessions :

This 1-day seminar will help you build your knowledge of Abacus360 Banking. Based on a brief outline of the data model and its resulting storage structures, you will acquaint yourself with alternatives for data import, processing options including data quality checks and the wide range of analysis options Abacus360 Banking offers.

By doing exercises in a live system you will utilise and deepen the seminar content.

For participants with little Abacus knowledge, we recommend to participate in the "Abacus360 Banking | Basics" course immediately before this seminar.

Audience
This training requires a basic knowledge of Abacus360 Banking or having participated in the Abacus360 Banking Basics training previously.

Technology Requirements (only applies to webinars)
Webinars will be held using a video conferencing tool. If required, the trainer conducts a short test conference call before the actual webinar date, to ensure that technology requirements are met at particpants’ end.

Trainers and Language
All our trainers are employees of Regnology Germany GmbH. Due to their extensive practical experience and their well-structured training approach they will provide you with the knowledge required for your daily working with Abacus360 Banking.

The seminar can be held in English or German.

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To find out more about this course,
contact us at :

  academy@regnology.net

   01 42 68 85 60

1 - Abacus360 Banking data model and data import

  • 1.1 Reflection of data and workflows in Abacus360 Banking
  • 1.2 Data model - overview
  • 1.3 Documentation

2 - Abacus360 Banking processes

  • 2.1 General processes
  • 2.2 Alternative import options
  • 2.3 Data quality assurance
  • 2.4 Cross-module and module-specific processes

3 - Abacus360 Banking analysis tools

  • 3.1 Analysis options from the report template (report data and detailed audit trail)
  • 3.2 Manual changes and change logs
  • 3.3 Dimensioning and report comparison
  • 3.4 Analysis using datamarts
  • 3.5 Static audit trail
  • 3.6 Designer tool set - overview
  • 3.7 Regression testing

4 - Validation and submission file production