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

Development of a Centralized Internal Analytics Dashboard for Enhanced Business Decision-Making

velvetech.com
Business services

Identifying Internal Data Silos and Inefficient Decision-Making Processes

The client faces challenges with fragmented data sources and lack of integrated dashboards, leading to inefficient decision-making and delayed insights. Their existing systems are disparate, hindering comprehensive data analysis and real-time reporting, which impacts operational agility and strategic planning.

About the Client

A mid-sized enterprise specializing in technology consulting and custom software development, seeking to improve internal data visibility and operational efficiency.

Goals for Creating an Integrated Business Analytics Platform

  • Develop a centralized internal analytics dashboard that consolidates data from multiple sources.
  • Enable real-time data visualization and reporting to support timely decision-making.
  • Improve data accuracy, accessibility, and user experience across departments.
  • Reduce reliance on manual data compilation, decreasing reporting time by at least 30%.
  • Enhance data security and compliance with industry standards.

Core Functional Capabilities for the Analytics Dashboard System

  • Data Integration Layer: Connect and consolidate data from various internal systems, databases, and external APIs.
  • Real-time Data Processing: Support live data feeds and streaming analytics.
  • customizable Dashboards: Allow users to create, modify, and share dashboards tailored to their roles and KPIs.
  • Reporting and Alerts: Enable scheduled reports and real-time alerts for key metrics.
  • User Management & Security: Implement role-based access controls and data encryption.
  • Audit and Logging: Track user activity and data changes for compliance and troubleshooting.

Preferred Technologies and Architectural Approaches

Cloud-based data warehousing solutions
Modern JavaScript frameworks for frontend (e.g., React or Vue.js)
Microservices architecture for backend processing
API-driven data integration via REST or GraphQL
Secure authentication protocols (OAuth, SAML)

External System and Data Source Integrations

  • Enterprise databases and ERP systems
  • CRM platforms
  • External data APIs for market or industry info
  • Notification services for alerts
  • Authentication and identity management systems

Key Non-Functional System Requirements

  • System should support at least 10,000 concurrent users with 99.9% uptime.
  • Dashboard load times should not exceed 3 seconds under normal load.
  • Data encryption both at rest and in transit to ensure confidentiality.
  • Scalable architecture to handle increasing data volume and user base.
  • Compliance with industry data privacy regulations (e.g., GDPR).

Anticipated Business Benefits and Success Metrics

Implementation of the internal analytics dashboard is expected to streamline data access, reduce reporting time by 30%, and improve decision-making efficiency. This will enhance operational agility and support strategic growth initiatives, ultimately leading to better data-driven insights across the organization.

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