Your Launchpad to Digital Next
Unlock powerful insights with batch processing. Eficaz technology solutions offer end-to-end Data Extraction, Transformation and Loading (ETL) and Enterprise Data Warehousing (EDW).
Drive actionable insights with a highly digitized 360° view of your business. Extract key data for consolidated reporting, analysis and dashboard visualizations. Reduce additional code writing and technical intervention with this feature-rich platform. Ensure uncompromised data transformation and quality at compressed time.
Records in a single cycle
GL entries in 15 Minutes
Customer records in 2.5 minutes
STMT Entry records in 25 hours
Your Challenges Meet The Eficaz Advantage
Eficaz data warehousing solutions by Lera Technologies creates a centralized data management platform that is instrumental in defining data models, data semantics
and profile data, beyond sharing data preparations and datasets. Eficaz DW suite
enables Business Intelligence reporting and visualization, thus offering
a complete framework to accelerate flexible analytics through daily reports
Built for easy integration
with source systems
Easy to use, adopt and monitor data without the need to code
New Operational Models
Capable of using multi-type data like multi-value and sub-value
Provides multi-type normalized output
to tables, files and/or databases
Reconcile - Validate - Truncate
Database reconciliation, file data validation and string truncation with DWH module
Seamlessly supports Oracle, MS SQL Server and numerous other databases
Data Transformation Roadmap
COB extraction optimization
Enabling faster COB data extraction for Vietnam’s second largest commercial bank with seamless Temenos Transact integration, ensuring problems of delayed reports and missed deadlines were resolved efficiently.
Rapid data drill down
Addressing challenges of data integrity, mining, provisioning and grading to swiftly analyze data for extraction, validating and reconciling data in ETL and data warehousing to resolve issues in monitoring NPL loans and preparing reports.
Improved data extraction performance
Facilitating significant reduction in the data load timing – from 4 days to 8 hours, promoting ease of re-running extracts on-demand basis and enhancing performance and scalability.