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Enhancing Data Preparation and Reporting Efficiency for a Major Financial Institution
  1. case
  2. Enhancing Data Preparation and Reporting Efficiency for a Major Financial Institution

Enhancing Data Preparation and Reporting Efficiency for a Major Financial Institution

synodus.com
Financial services

Identify Challenges in Managing Large-Scale Transaction Data and Reporting Delays

The client faces difficulties managing massive transaction data volumes due to limited governance, resulting in siloed data and lengthy reporting cycles of up to one month. Managers struggle with real-time decision-making and lack the necessary resources and expertise in data visualization tools like Power BI to efficiently migrate and utilize data for strategic insights.

About the Client

A large, digitized banking organization providing comprehensive retail and commercial financial services, seeking to improve data management and reporting capabilities.

Establish Efficient Data Processing and Real-Time Reporting Capabilities

  • Implement a centralized data and reporting infrastructure to reduce report generation time from up to one month to within a weekly cycle.
  • Automate the creation of over 15 reports across key banking domains such as lending, KYC, and wealth management.
  • Empower analysts with training and tools to independently manage and manipulate reports, enhancing decision-making agility.
  • Ensure compliance with data security and regulatory standards throughout the deployment.
  • Design dashboards that provide comprehensive oversight for retail and corporate banking operations to support timely managerial insights.

Core Functional Specifications for Data Management and Dashboard Deployment

  • Deployment of an on-premises analytics server (e.g., Power BI Report Server) for hosting and delivering dashboards and reports.
  • Design and development of customizable, automated weekly reports for different banking areas (Lending, KYC, Wealth Management).
  • Training modules and user guides for analysts to independently generate and manipulate reports.
  • Secure role-based access control to ensure data privacy and compliance.
  • Data integration pipelines that consolidate siloed transaction data into a unified data warehouse.

Preferred Technologies and Architecture for Data Analytics Platform

On-premises Power BI Report Server or equivalent enterprise reporting solution
Data warehouse solutions capable of handling large transaction datasets
Data integration tools for consolidating data from multiple silos
Training frameworks for analytics user empowerment

External Systems and Data Sources Integration Requirements

  • Transaction processing systems
  • Customer relationship management (CRM) platforms
  • Regulatory reporting systems
  • Security and compliance monitoring tools

Performance, Security, and Scalability Objectives

  • System scalability to handle increasing data volumes without performance degradation
  • Automated report updates on a weekly basis with minimal manual intervention
  • Robust data security measures for sensitive financial data, complying with industry regulations
  • High system availability and uptime for continuous operational support

Expected Business Outcomes from Implementing the Data Analytics Platform

The deployment of the centralized, automated reporting system is anticipated to reduce report delivery times from up to one month to within one week, improve data accuracy and accessibility, and enhance managerial decision-making across banking functions. Additionally, empowering analysts with training and tools will lead to increased operational efficiency and more responsive, data-driven organizational strategies.

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