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Development of an Internal Analytics Dashboard for Enhanced Business Decision-Making
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Business Decision-Making

Development of an Internal Analytics Dashboard for Enhanced Business Decision-Making

innowise.com
Business services

Identifying the Core Challenges in Data Accessibility and Insight Generation

The client faces difficulties in consolidating data from multiple sources, leading to fragmented insights and delayed decision-making processes. The lack of a unified analytics platform hampers their ability to respond quickly to market changes and optimize operations effectively.

About the Client

A mid-sized consulting firm with a global presence seeking to centralize and analyze data for better strategic insights.

Goals for Implementing a Centralized Analytics Solution

  • Develop a comprehensive internal analytics dashboard that consolidates data from various internal and external sources.
  • Enhance data accessibility and visualization capabilities for stakeholders across the organization.
  • Improve decision-making speed and quality by providing real-time analytics and reporting.
  • Achieve a scalable solution capable of handling increasing data volume while ensuring high performance.
  • Reduce manual data processing efforts and minimize data silos within the organization.

Core Functionalities and Features of the Analytics Platform

  • Data aggregation module integrating multiple internal databases and external data sources.
  • Customizable dashboards with drag-and-drop interface for creating tailored reports.
  • Real-time data streaming and live updates for critical metrics.
  • Role-based access control to ensure data security and compliance.
  • Automated report scheduling and distribution via email or internal notifications.
  • Advanced filtering, segmentation, and drill-down capabilities for detailed analysis.
  • API endpoints for external integrations and data exports.

Preferred Technologies and Architectural Approaches

Modern web frameworks for front-end development (e.g., React, Angular).
Cloud-based data storage solutions (e.g., AWS, Azure) for scalability.
Microservices architecture for modular development and deployment.
Real-time data processing technologies (e.g., WebSocket, Kafka).
Secure authentication protocols (e.g., OAuth 2.0, SAML).

External Systems and Data Sources Integration Needs

  • Internal databases and data warehouses for consolidating organizational data.
  • External APIs or data feeds relevant to industry benchmarks or market data.
  • Email and notification services for report delivery.
  • Authentication services for user management.

Non-Functional System Requirements for Performance and Security

  • System should support a minimum of 1,000 concurrent users with minimal latency.
  • Data refresh and dashboard update latency should not exceed 2 seconds.
  • High availability architecture ensuring 99.9% uptime.
  • Data security and compliance with relevant data protection regulations (GDPR, HIPAA where applicable).
  • Scalable infrastructure to accommodate growing data and user base.

Expected Business Outcomes from the Analytics Platform Implementation

The deployment of the internal analytics dashboard is projected to improve decision-making speed by 30%, reduce manual reporting efforts by 50%, and enable more proactive business strategies based on real-time insights. This will lead to increased operational efficiency and better market responsiveness.

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