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Data storage and processing

Data storage and processing systems ensure reliable integration, centralized storage and preparation of data from all business systems of the bank for subsequent analytics, reporting and decision-making. This is the technological basis for BI, reporting, scoring, monitoring and digital transformation.

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Request for proposals

Data warehouses (DWH) and data processing platforms represent a single analytical circuit that combines information from the ABS, CRM, payment systems, fronts, contact center, omnichannel platforms and external sources. They provide high performance, scalability, quality and integrity of data required for building dashboards, scoring, reporting and predictive analytics.

Key functions:

  • Integration of data from heterogeneous sources (ETL/ELT processes);
  • Data warehouses 2-3 normalization and data marts (Data Marts) for BI;
  • Support for multidimensional models, aggregates, events and transaction logs;
  • Cleaning, transformation, enrichment, quality control (Data Quality Frameworks);
  • Support for architectures: on-prem, hybrid cloud, lakehouse, in-memory;
  • Integration with BI, CDP, CRM, regulatory and management reporting;
  • Support for DWH platforms: Microsoft SQL Server, Oracle, Greenplum, ClickHouse, Hadoop, Snowflake, etc.

Who works with the system inside the bank:

  • Data Engineering and data architects
  • Finance department and risk analysts
  • BI teams
  • IT infrastructure
  • Digital unit and product analysts

System owners:

  • Chief Data Officer (CDO) — strategic development of the data platform
  • CIO/CTO — technological implementation, performance and security
  • CFO / CRO — consumers of reporting and analytics

What strategic objectives do the proposed solutions solve

Provides a single, reliable collection point for all key data for analysis and reporting

Eliminates duplication, manual entry and discrepancies between departments.

Creates a basis for building analytical, predictive and reporting systems

All solutions are built on a holistic, verifiable and updatable base.

Increases the speed of receiving, processing and analyzing data in all business areas

Management receives information in a mode close to real time.

Make working with documents simpler and faster

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Who are the solutions suitable for?

Results after solution implementation

Increase transparency, consistency and reliability of data across the bank.

Significant acceleration of analytical, planning and reporting processes.

Eliminating information “gaps” between systems and centralizing knowledge at the data level.

Processes are optimized, routine operations are automated, and employees have more time for truly valuable tasks.

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