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Development of an Internal Analytics Dashboard to Improve Business Data Insights
  1. case
  2. Development of an Internal Analytics Dashboard to Improve Business Data Insights

Development of an Internal Analytics Dashboard to Improve Business Data Insights

innowise.com
Business services

Challenges Faced by the Business Services Client in Data Management

The client encountered difficulties in managing and visualizing complex internal data efficiently. Disparate data sources, lack of real-time analytics, and limited visualization capabilities hampered decision-making processes across departments, resulting in delays and suboptimal strategic planning.

About the Client

A mid-sized international consultancy firm with a large team of IT professionals, specializing in developing custom software solutions for various industries worldwide.

Objectives for Developing an Internal Analytics Solution

  • Create a centralized analytics dashboard to provide real-time data visualization and reporting capabilities.
  • Enhance decision-making accuracy by enabling access to comprehensive and up-to-date business insights.
  • Improve operational efficiency by reducing manual data processing and report generation time.
  • Achieve scalable architecture supporting increasing data volume and user load, aiming for a 50% reduction in report generation time within six months.

Core Functional Modules for the Analytics Dashboard

  • Data aggregation layer integrating various database systems and external sources.
  • Configurable dashboards allowing users to customize visualizations and reports.
  • Real-time data refresh with minimal latency to ensure current insights.
  • Role-based access control ensuring data security and compliance.
  • Automated report generation and scheduling features.
  • Built-in data export options in multiple formats (CSV, PDF, Excel).
  • Responsive design compatible with desktops, tablets, and smartphones.

Preferred Technologies and Architectural Approaches

Modern web frameworks for frontend development (e.g., React or Angular).
Backend services built with scalable microservices architecture.
Data processing using robust database solutions (e.g., SQL and NoSQL databases).
Real-time data streaming with technologies like WebSocket or MQTT.
Cloud deployment for scalability and availability.

Integration Needs with External and Internal Systems

  • Connection to existing enterprise databases and data warehouses.
  • APIs for external data sources (e.g., third-party analytics platforms).
  • Single sign-on (SSO) and IAM systems for authentication.
  • Notification and alerting systems for data anomalies.

Non-Functional System Requirements

  • System scalability to support a growing user base and increasing data volume, targeting a 2x load increase within one year.
  • High availability with 99.9% uptime.
  • Response times under 2 seconds for most user interactions.
  • Data security compliant with industry standards (e.g., GDPR, ISO 27001).
  • Maintainability and ease of updates with modular architecture.

Projected Business Impact of the Analytics Dashboard

The implementation of the internal analytics dashboard is expected to reduce report generation time by at least 50%, enhance data-driven decision-making, and improve operational efficiency. The solution aims to boost productivity across departments, facilitate faster strategic responses, and support scalable expansion as data volumes grow.

More from this Company

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Development of an Internal Analytics Dashboard for Enhanced Data Insights
Development of an Internal Analytics Dashboard for Enhanced Data Management