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Development of an Internal Analytics Dashboard for Enhanced Data Visualization and Decision-Making
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data Visualization and Decision-Making

Development of an Internal Analytics Dashboard for Enhanced Data Visualization and Decision-Making

innowise.com
Business services
Media

Identified Needs for Effective Data Management and Visualization

The client faces challenges in managing complex data due to disjointed analytics platforms and manual reporting processes, resulting in delayed insights and decision-making bottlenecks. They require an integrated, customizable analytics dashboard to streamline data access and visualization across departments.

About the Client

A mid-sized global business services company aiming to improve operational efficiency and data-driven decision-making through custom analytics solutions.

Goals for Developing an Advanced Analytics Platform

  • Implement a centralized internal analytics dashboard to facilitate real-time data visualization.
  • Improve data accessibility and reporting efficiency, reducing manual effort by 50%.
  • Enable customization of dashboards to cater to different departmental needs.
  • Support integration with existing data sources and external systems to provide comprehensive insights.
  • Enhance decision-making speed and accuracy, aiming for a 30% reduction in data processing time.

Core Functional System Features and Capabilities

  • User authentication and role-based access controls to ensure data security.
  • Drag-and-drop interface for dashboard customization by end-users.
  • Real-time data streaming and refresh capabilities.
  • Pre-built and customizable visualization widgets (charts, graphs, tables).
  • Data aggregation and filtering tools for in-depth analysis.
  • Automated report generation and export options.
  • API integrations with external data sources and internal databases.
  • Audit logs and activity tracking for system monitoring.

Technological Foundations and Architectural Preferences

Web-based architecture using modern JavaScript frameworks (e.g., React or Angular)
Backend services built with scalable server technologies (e.g., Node.js or .NET Core)
Data storage in scalable SQL and NoSQL databases (e.g., PostgreSQL, MongoDB)
Real-time data processing using WebSocket or similar technologies
Cloud hosting solutions to ensure scalability and availability

External System and Data Source Connectivity Needs

  • Internal data warehouses and databases for existing operational data
  • External APIs for third-party data enrichment
  • Authentication systems (e.g., LDAP, OAuth) for user management
  • Reporting tools and export systems

Performance, Security, and Scalability Expectations

  • System capable of supporting up to 200 concurrent users
  • Dashboard refresh latency under 2 seconds for real-time data
  • Data encryption at rest and in transit to ensure security
  • System uptime of 99.9% with disaster recovery protocols
  • Responsive UI compatible with desktops and tablets

Anticipated Business Benefits and Performance Improvements

The deployment of the internal analytics dashboard is expected to streamline data access, reduce manual reporting efforts by 50%, and accelerate decision-making processes by decreasing data processing time by 30%. These improvements will enhance operational efficiency and support strategic planning, leading to increased productivity and competitiveness.

More from this Company

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Development of an Internal Analytics Dashboard for Enhanced Data Management