Reporting solution for the AnaCredit report – lessons learnt from the Polish NB300 report

The first implementation stage of AnaCredit will start in September 2018. It means that by that time, national supervisors will have to deliver the first report to the European Central Bank.

AnaCredit Overview

The obligation will cover all credit institutions that must prepare granular data regarding each loan separately.

The AnaCredit report is an European micro database which contains detailed information on individual bank loans in the euro area. Creditors will have to deliver the report in an obligatory format, most likely in xml.

Credit institutions will be obliged to report very detailed information about loans grouped in 2 templates with 89 features.

AnaCredit will support major central bank tasks and provide substantial information in many areas, e.g.:

  • financial stability and macro prudential analysis
  • monetary policy and monetary analysis
  • market operations and risk management of banks

AnaCredit will also increase financial integration and stability which is one of the SSM’s (Single Supervisory Mechanism) targets.

Reporting solution for AnaCredit

The upcoming report means that credit institutions will have to adjust their reporting systems. Entities not only have to report multiple data but additionally the data that come from different sources in many formats. This is why they need a powerful solution like aSISt.

AnaCredit and NB300 – similarities

We are already experienced with multiple data reports. One of them is the NB300 report, obligatory in Poland since 2013. NB300 is an obligatory report that presents the data in form of lists with detailed information concerning clients to whom the exposure of the bank is considerable.

What are the similarities of AnaCredit and NB300?

  1. Inputting very detailed information about clients.
  2. The data come from many different sources and in many formats.
  3. The data must be prepared by the reporting entity based on complex algorithms of data filtering.


detailed information

Detailed information

In NB300 Polish filers report about individual clients with the data aggregated by the client’s ID. Data gathered about each client, include information such as legal forms or loans and other receivables. One of six NB300 templates includes 197 columns. NB300 related information are sometimes difficult to find in back-office systems. We anticipate similar difficulties with the AnaCredit data and we are ready to support gap data analyses.


many sources and formats

Many sources and formats

Detailed data can be found in many sources that can differ regarding to:

  • format
  • the scope of information
  • the department responsible for the data
  • the stage of data processing (analytical, synthetic)

All of these aspects need to be considered in the process and the IT solution needs to deal with such diversity. aSISt is adjusted to work with different sources of information for one report.


complex data processing

Complex data processing

Data from different sources need to be joined together and filtered. Efficiency in this step as well as during data import into a report is crucial for this process.

NB300 data sources include milions of records and thousands of them can be reported. For AnaCredit the data quantity is to be even bigger. Only experts and systems experienced in working with a great amount of data with different structures guarantee success of the project.

We have introduced and now maintain, on a regular basis, data processing and report preparation for NB300, which is an example of a report with lists including enormous amounts of data.


aSISt installations

The aSISt reporting system is a ready-to-use, powerful solution that has already been appreciated by over 600 entities in 9 European countries. The system is dedicated to end users which makes it intuitive and easy to use. aSISt supports the full reporting cycle, from data input, validation and reports generation in an appropriate format, to correction of archived reports.
The system works with millions of records and thanks to a built-in validator is one of the most efficient solutions on the market.

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