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Development of an Internal Analytics Dashboard for Enhanced Business Insights
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Business Insights

Development of an Internal Analytics Dashboard for Enhanced Business Insights

velvetech.com
Business services
Information technology

Identifying Data Silos and Lack of Unified Business Insights

The client faces challenges due to fragmented data sources and lack of a centralized analytics platform, leading to difficulty in deriving actionable insights and slowing down decision-making processes across departments.

About the Client

A mid-sized consulting firm specializing in digital transformation and enterprise system integration, seeking to improve internal data analysis capabilities to support strategic decision-making.

Enhancing Data Accessibility and Business Decision Support

  • Develop a comprehensive internal analytics dashboard that consolidates data from disparate systems.
  • Enable real-time data visualization and reporting to support proactive decision-making.
  • Improve data governance, security, and user access controls.
  • Reduce data retrieval and reporting time by at least 30%.
  • Increase user engagement with data-driven insights across organizational units.

Core Functionalities for Business Data Visualization and Analysis

  • Data Integration Module: Aggregates data from multiple enterprise systems into a unified data warehouse.
  • Real-Time Dashboard: Provides dynamic visualizations of key business metrics with drill-down capabilities.
  • Custom Reporting Engine: Allows users to generate and schedule personalized reports.
  • User Management & Security: Implements role-based access controls and audit trails.
  • Automated Data Refresh: Ensures up-to-date information with scheduled data updates.

Technology Stack and Architectural Approaches

Cloud-based data storage and processing platforms (e.g., cloud data warehouses).
Data visualization frameworks (e.g., Power BI, Tableau, or custom dashboards built with modern web technologies).
ETL (Extract, Transform, Load) tools and APIs for data integration.
Secure authentication protocols (e.g., OAuth, LDAP).
Scalable microservices architecture for modular development.

External System and Data Source Integrations

  • Enterprise Resource Planning (ERP) systems for financial and operational data.
  • Customer Relationship Management (CRM) platforms.
  • Internal data repositories and databases.
  • Authentication services for secure user access.
  • Scheduled data synchronization with external data sources.

Performance, Security, and Scalability Expectations

  • System should support concurrent access by at least 200 users without performance degradation.
  • Dashboard load times must be under 3 seconds for 90% of interactions.
  • Data security must comply with industry standards, including role-based access control and audit logging.
  • Scalability to accommodate a 50% increase in data volume annually.
  • System availability of 99.9% uptime.

Projected Business Value and Strategic Benefits

The implementation of a centralized analytics platform is expected to reduce report generation time by over 30%, enhance data-driven decision-making processes, and improve organizational agility. The platform will empower departments with real-time insights, leading to more informed strategic planning and operational efficiency across the organization.

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