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Nova Ljubljanska Banka

'Progressive’ Data Migration and Financial Reconciliation

Company Overview

The NLB Group is the largest banking and financial group in Slovenia with a strategic focus on selected markets in SEE supporting its clients through retail, corporate, and investment banking services.  Following the merger of N Banka and NLB several data migrations between homegrown and legacy systems from TCS and Asseco are planned that will result in creation of one coherent IT platform for the merged bank.

As an existing, Validata partner, we knew that Validata with their tool would support us through this successful core banking transformation. There was an exemplary collaboration with the Data Migration and Financial Reconciliation teams of Validata.

Nova Ljubljanska Banka

Opportunity

The bank selected Validata after an RFP process and an in-depth, extensive Proof of Concept exercise, where Validata outperformed the competition. Validata ConnectIQ  is used for the data modelling, validation, transformation with more than 80 data mappings, and loading of normalized data into Temenos Transact R22 as well as the bank’s data warehouses and other downstream systems. It will also be used for migration and financial reconciliation performing checks like field-to-field, check-sums (balances of all loans, …), GL-reconciliation etc.

Value Delivered

  • Data Migration and Financial Reconciliation Strategy provided clear view of data to be migrated from multiple systems.
  • Build the Runbook
  • Capture time and forecast risks and delays to complete the tasks during DRHs which helped streamline the migration process during the actual cutover.
  • Data collection, Data Transformation, validation and loading
  • Custom-made reconciliation reports:
    • FieldToField Comparison - Source vs Loaded Data ( appx 200 F2F)
    • Checksums Comparison - Source vs Transformed data and Transformed data vs Load data ( 200 Checksums)
  • Project finished on time and budget.

Target Systems

  • ZBO
  • Temenos Transact
  • Banks
  • Assist
  • Sisbon
  • Sisbiz

Volumes

  • 100 Data Mapping Templates in Scope for Data Migration
  • Extraction of Data from 180 Tables and Views from Oracle DB
  • Generation of 100 Files to be loaded in the 6 target systems
  • Volumes of data ranges from small to large volumes ( 100k-5million Records)
  • Cases like the AA Loan Takeover with more then 100 target fields mapped which included around 18 properties based on the client product configurations
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