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Development of an Internal Analytics Dashboard for Data-Driven Decision Making
  1. case
  2. Development of an Internal Analytics Dashboard for Data-Driven Decision Making

Development of an Internal Analytics Dashboard for Data-Driven Decision Making

innowise.com
Business services

Identifying the Need for Real-Time Internal Data Visualization

The client experiences challenges with fragmented data sources and lacks a unified platform for real-time data analysis, hindering timely decision-making and operational efficiency.

About the Client

A mid-sized enterprise providing consulting and data analysis services to corporate clients, seeking to enhance its internal data visualization and reporting capabilities.

Goals for Developing an Advanced Analytics and Reporting Platform

  • Integrate multiple data sources into a centralized platform
  • Provide real-time data visualization and customizable dashboards
  • Enhance data accessibility and usability for different departments
  • Improve decision-making speed and accuracy
  • Achieve high system performance with minimal latency

Core Functionalities for the Analytics Dashboard

  • Data integration module connecting to diverse internal and external data sources
  • Real-time data processing engine for up-to-the-minute analytics
  • Interactive dashboards with customizable widgets and visualizations
  • Advanced report generation and export capabilities
  • User authentication and role-based access control
  • Alerts and notification system for key metrics deviations

Technology Stack and Architectural Preferences

Cloud-based data processing platforms (e.g., AWS, Azure)
Modern front-end frameworks for interactive dashboards (e.g., React, Angular)
Backend services using scalable microservices architecture
Data storage solutions optimized for analytics (e.g., data warehouses, lakes)

External Systems and Data Sources Integration Needs

  • ERP and CRM systems for operational data
  • External data APIs for supplemental data sources
  • Authentication providers for secure access control

Performance, Security, and Scalability Expectations

  • System should support concurrent user load of at least 1,000 users
  • Dashboard rendering time under 2 seconds for complex visualizations
  • Data security complying with enterprise standards and GDPR
  • High availability with 99.9% uptime

Projected Business Outcomes and Value Addition

Implementing the analytics dashboard is expected to reduce decision-making time by 30%, improve operational insights accuracy, and enhance data accessibility, leading to increased organizational agility and data-driven culture.

More from this Company

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Development of an Internal Analytics Dashboard for Enhanced Data Management