Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision Making

Business services

eCommerce

Advertising & marketing

Identifying Challenges in Data Visibility and Decision-Making Efficiency

The client faces difficulties in aggregating and analyzing data from multiple sources, resulting in delayed insights and suboptimal strategic decisions. Existing reporting processes are manual and time-consuming, impacting overall responsiveness and competitive standing.

About the Client

A mid-sized consulting firm specializing in client data analysis and reporting, seeking to improve internal decision-making processes through advanced analytics tools.

Goals for Improving Data Accessibility and Analytical Capabilities

Develop an internal analytics dashboard to centralize data visualization and reporting.
Reduce data aggregation and report generation time by 50%.
Enhance decision-making speed and accuracy through intuitive data presentation.
Enable real-time analytics and customizable reports to support diverse business needs.

Core Functionalities Needed for the Analytics System

Data Integration Layer: Connects with existing databases, CRM, and other data sources to aggregate information.
Real-Time Data Processing: Supports real-time data updates to ensure current insights.
Interactive Visualization Components: Charts, graphs, and dashboards that users can customize per requirements.
User Authentication & Authorization: Role-based access controls to secure sensitive data.
Reporting Module: Exportable reports in various formats (PDF, Excel).
Notification System: Alerts for key metrics thresholds or anomalies.

Technology Stack and Architectural Preferences

React.js for frontend UI

Node.js for backend services

Cloud-based data processing platform

SQL and NoSQL databases for data storage

External Systems and Data Sources Integration Needs

CRM systems
Enterprise databases
Third-party data analytics tools
Notification and alert systems

Performance, Security, and Scalability Standards

System should handle concurrent access by up to 200 users.
Dashboard should load within 2 seconds under typical load.
Data security and privacy compliance (e.g., GDPR).
Scalable architecture to support 3x growth in data volume.

Expected Business Benefits and Performance Improvements

The project aims to significantly improve data visibility and decision-making efficiency, reducing report generation time by 50%, enabling real-time insights, and supporting faster strategic initiatives. These enhancements are expected to lead to increased operational agility and competitive advantage.