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

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

elinext.com
Information technology

Identifying Challenges in Data Visibility and Decision Support

The client faces difficulties in consolidating and analyzing operational data across various functions, leading to delayed insights and suboptimal decision-making capabilities. Existing systems lack real-time analytics and user-friendly interfaces for comprehensive data exploration.

About the Client

A mid-sized enterprise operating in the IT sector, aiming to improve operational efficiency and data visibility across departments.

Goals to Transform Data Analytics and Drive Business Growth

  • Develop an internal analytics dashboard providing real-time insights into key operational metrics.
  • Improve data accessibility and visualization for multiple business units.
  • Enhance decision-making speed and accuracy through intuitive data presentation.
  • Achieve measurable improvements in operational performance and strategic responsiveness.

Core Functional Requirements for Data Analytics Platform

  • Real-time data aggregation and visualization of key performance indicators (KPIs).
  • Customizable dashboards and reports tailored to user roles and needs.
  • Secure user authentication and role-based access control.
  • Interactive data exploration tools, including filters, drill-down, and export capabilities.
  • Automated data refresh and alerting system for critical metrics.

Technological Stack and Architecture Preferences

Web-based application utilizing modern JavaScript frameworks (e.g., React, Angular).
Data processing and backend logic built on scalable cloud infrastructure (e.g., AWS, Azure).
Use of real-time data streaming technologies (e.g., WebSockets, Kafka).

External Systems and Data Source Integrations

  • Integration with existing enterprise data warehouses and databases.
  • APIs for seamless data import/export with other enterprise tools.
  • SSO and identity management systems for secure authentication.

Performance, Security, and Scalability Criteria

  • System capable of handling data volumes scaling to several terabytes with minimal latency.
  • High availability with 99.9% uptime and disaster recovery measures.
  • Data encryption both at rest and in transit to ensure security.
  • User interface optimized for usability across diverse devices and screen sizes.

Projected Business Impact and Value of the Analytics Solution

The implementation of the internal analytics dashboard is expected to significantly enhance operational visibility, leading to faster decision-making and improved efficiency. Quantitatively, the client aims for at least a 20% reduction in report generation time, a 15% improvement in process efficiency, and increased strategic agility through timely insights.

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