Aggregation functions in Bank Analyzer

Former Member · ‎02-17-2014

In this post, I will talk about the main aggregation functions in Bank Analyzer:

Process provided by SDL which allows to aggregate source data (Financial Transactions, Business Transactions and accruals).
Used for products which do not have to be evaluated on single transaction level. These products can be reported for accounting at their nominal value . Valuation does not need to be done for these products at the single contract level. Examples of these products are Current Accounts, simple Deposits and Loans (i.e. those without premium/discount).
These products typically exist in high quantities, therefore aggregation makes sense to reduce processing time and hardware cost.
SDA is run after “Set SDL Time stamp” step and before PEBT (Post External Business Transactions) step.
Aggregation is done at the level of Granularity characteristics.

2. Preaggregation

Process provided within RDL which allows to aggregate data.
Summarizes RDL single postings and writes totals.
Useful from a technical standpoint to summarize high number of AFI posting documents and store the totals; so performance can be improved.

3. GL Connector

Process provided within Analytics Layer. This process is typically run at least daily.
GL Connector summarizes the AFI FI-GL postings and sends them to GL. This helps build the framework for thin GL; detailed subledger.
Audit trail including drill through from GL to single AFI postings is available.

In my next post, I will summarize configuration and end user transactions for these Aggregation functions.

My earlier post on AFI postings derivation is here.

Comments are welcome.

Manish