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Development of an Automated Data Analytics Dashboard for Business Insights
  1. case
  2. Development of an Automated Data Analytics Dashboard for Business Insights

Development of an Automated Data Analytics Dashboard for Business Insights

yslingshot.com
Business services

Challenge of Data Fragmentation and Manual Reporting Inefficiencies

The client faces difficulties in consolidating data from multiple sources into a unified platform, leading to inefficient manual reporting processes, delayed decision-making, and limited real-time insights for management.

About the Client

A mid-sized enterprise specializing in providing data-driven consultancy and analytics services, aiming to enhance internal data management and reporting capabilities.

Goals for Implementing a Centralized Analytics Solution

  • Design and develop a robust internal analytics dashboard to centralize data from disparate systems.
  • Reduce manual reporting time by automating data aggregation and visualization processes.
  • Enable real-time data updates for timely decision-making.
  • Improve data accuracy and consistency across reports.
  • Enhance user accessibility to analytics tools across the organization.

Core Functionalities Required for the Analytics Dashboard

  • Automated data ingestion pipelines integrating various internal databases and external data sources.
  • Interactive dashboards with customizable visualizations and filters.
  • Role-based access control to ensure data security and appropriate user permissions.
  • Real-time data refresh capabilities.
  • Export functionalities for reports in multiple formats (PDF, Excel).
  • Audit and logging features for tracking data changes and user activity.

Technology Stack and Architectural Preferences for Development

Cloud-based deployment for scalability and accessibility
Modern web frameworks (e.g., React, Angular)
Data processing using scalable ETL tools
Real-time data handling via WebSocket or similar technologies

Essential External Systems and Data Source Integrations

  • Internal databases (SQL/NoSQL)
  • External data APIs relevant to organizational data needs
  • Authentication and identity management systems

Performance, Security, and Reliability Expectations

  • System uptime of 99.9% with automated failover
  • Response time for dashboard interactions under 2 seconds
  • Data encryption in transit and at rest
  • Compliance with relevant data privacy standards

Projected Business Benefits and Impact of the Analytics Platform

The implementation of the centralized analytics dashboard is expected to decrease manual report generation time by 50%, enable real-time decision-making, improve data accuracy, and foster data-driven culture within the organization, leading to increased operational efficiency and faster strategic insights.

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