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Development of a Strategic Digital Dashboard and Analytics Platform for Enhanced Data-Driven Decision-Making
  1. case
  2. Development of a Strategic Digital Dashboard and Analytics Platform for Enhanced Data-Driven Decision-Making

Development of a Strategic Digital Dashboard and Analytics Platform for Enhanced Data-Driven Decision-Making

radixweb.com
Business services
eCommerce
Financial services

Identifying Challenges in Data Integration and Decision-Making

The client faces difficulties consolidating diverse data sources into a unified platform, resulting in limited visibility into key metrics, delayed insights, and inefficient decision-making processes, which hampers their ability to deliver timely value to clients and optimize operations.

About the Client

A mid-sized consultancy firm specializing in operational and strategic advisory, seeking to leverage data analytics for client insights and internal efficiency.

Goals for Implementing an Advanced Analytics and Reporting Solution

  • Develop a centralized analytics dashboard enabling real-time data visualization from multiple systems.
  • Automate data aggregation and reporting processes to ensure consistent and accurate insights.
  • Enhance decision-making capabilities through intuitive interfaces and comprehensive KPI tracking.
  • Achieve improved operational efficiency leading to reduced report generation time by 50%.
  • Support scalable technology architecture to accommodate future data growth and additional integrations.

Core Functional Features of the Data Analytics Platform

  • Secure data ingestion pipelines capable of integrating with existing ERP, CRM, and external data sources.
  • Real-time data processing and visualization components for dynamic KPI dashboards.
  • Customizable report generation with export options (PDF, Excel).
  • Role-based access control to ensure data security and appropriate user privileges.
  • Interactive data exploration tools, including filtering, drill-downs, and trend analysis.
  • Automated alerts and notifications for key metric thresholds.

Technology Stack Recommendations for the Platform

Cloud-based infrastructure for scalability (e.g., AWS, Azure, or Google Cloud).
Data processing with technologies like Apache Kafka or cloud-native equivalents.
Frontend development using modern frameworks such as React or Angular.
Data visualization libraries like D3.js or Chart.js.
Backend services utilizing RESTful APIs and microservices architecture.

Necessary External System Integrations

  • ERP systems for operational data sources.
  • CRM platforms for customer insights.
  • External APIs for market data or third-party information.
  • Authentication and identity management systems.

Critical Non-Functional System Attributes

  • System availability of 99.9% uptime.
  • Data processing latency under 2 seconds for real-time dashboards.
  • Scalability to support a 3x increase in data volume over 2 years.
  • Data security compliance with industry standards such as ISO 27001 and GDPR.
  • User interface responsiveness across devices.

Anticipated Business Outcomes and Value Delivery

The implementation of the analytics platform is expected to significantly enhance operational efficiency by reducing reporting time by half, improve decision-making accuracy with real-time insights, and enable scalable analytics capabilities to support business growth, ultimately leading to better client outcomes and increased competitive advantage.

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