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Development of a Comprehensive Internal Analytics Dashboard for Enhanced Data-Driven Decision Making
  1. case
  2. Development of a Comprehensive Internal Analytics Dashboard for Enhanced Data-Driven Decision Making

Development of a Comprehensive Internal Analytics Dashboard for Enhanced Data-Driven Decision Making

innowise.com
Business services

Identifying the Challenges in Data Visibility and Analysis Within Business Operations

The client faces difficulties in consolidating and analyzing data from multiple sources, leading to delays in reporting, limited insights for decision-making, and inefficient operational workflows. They require a centralized analytics platform that enables real-time data visualization and analysis to accelerate strategic planning.

About the Client

A mid-to-large scale enterprise specializing in professional business services, seeking to improve internal data analysis and reporting capabilities to support strategic initiatives.

Goals for Developing an Integrated Data Visualization Solution

  • Create a scalable, secure internal analytics dashboard capable of aggregating data from various internal systems.
  • Enable real-time visualization and reporting to provide immediate insights into operational metrics.
  • Improve decision-making efficiency by providing intuitive data exploration tools for non-technical stakeholders.
  • Achieve a data consolidation process that reduces manual effort and minimizes reporting errors.
  • Support future integration with additional data sources and advanced analytics modules.

Core Functionalities and Features of the Analytics Platform

  • Data aggregation engine that consolidates data from various operational systems.
  • Interactive dashboards with customizable charts, graphs, and KPIs.
  • Real-time data refresh capabilities for up-to-date reporting.
  • User role management for access control and data security.
  • Export and report generation functionalities for external sharing.
  • Search and filter functionalities for detailed data exploration.
  • Responsive interface across devices for on-the-go analysis.

Technology Preferences and Architectural Considerations

Modern web frameworks (e.g., React, Angular, or Vue.js) for the frontend.
Backend data processing using scalable technologies such as Node.js or Python.
Cloud-based infrastructure (e.g., AWS, Azure) for scalability and availability.
Data warehousing solutions for centralized data storage.

External System Data Sources and Tool Integrations

  • ERP systems and internal databases for data consolidation.
  • Authentication services for secure login and user management.
  • Reporting tools for exporting visualizations and reports.

Performance, Security, and Scalability Priorities

  • System must support concurrent access by up to 500 users without performance degradation.
  • Data latency should be less than 1 minute for real-time visualizations.
  • Compliance with standard data security protocols to protect sensitive information.
  • System availability of 99.9% uptime with disaster recovery measures.

Projected Business Outcomes and Benefits of the Analytics Dashboard

Implementation of the internal analytics dashboard is expected to streamline data reporting processes, reduce manual reporting efforts by 30%, and enable more informed decision-making, ultimately leading to faster strategic actions and improved operational efficiency across the enterprise.

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