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Development of a Secure Multi-User Analytics Dashboard for Business Insights
  1. case
  2. Development of a Secure Multi-User Analytics Dashboard for Business Insights

Development of a Secure Multi-User Analytics Dashboard for Business Insights

innowise.com
Business services

Identified Challenges for Data-Driven Decision-Making

The client faces difficulties in securely collecting, managing, and analyzing data from multiple sources. They require a unified internal analytics dashboard to improve data accessibility, ensure security, and facilitate accurate reporting to support strategic decisions.

About the Client

A mid-sized enterprise providing consulting and analytical services to clients worldwide, requiring robust internal analytics tools to enhance decision-making and client reporting.

Key Goals for Enhancing Business Intelligence Capabilities

  • Develop a centralized, secure analytics dashboard that consolidates data from various sources to streamline reporting processes.
  • Increase data security and user privacy through role-based access controls and encryption.
  • Improve data processing efficiency to enable real-time insights, reducing report generation time by up to 50%.
  • Ensure the system is scalable to accommodate future data growth and additional data sources.
  • Enhance user experience with an intuitive interface and customizable dashboards tailored to different user roles.

Core Functionalities for the Analytics Dashboard Platform

  • Data aggregation from multiple internal and external sources with scheduled and on-demand updates.
  • User authentication and role-based access management to safeguard sensitive information.
  • Real-time analytics and visualization tools for quick insight generation.
  • Customizable dashboards allowing users to configure widgets and reports according to their needs.
  • Automated reporting capabilities with export options in various formats.
  • Audit trail and activity logs to monitor data access and modifications.

Recommended Technologies and Architectural Approach

Modern web frameworks for frontend development (e.g., React or Angular).
Backend development using robust server-side platforms (e.g., Node.js, Python, or Java).
Secure cloud storage solutions with encryption for data security.
RESTful API architecture for system integrations.

External Systems and Data Sources Integration Needs

  • CRM and ERP systems for data synchronization.
  • External data providers for market insights or external datasets.
  • Authentication services such as OAuth or SAML for user management.
  • Reporting tools and export services for document generation.

Critical Non-Functional System Attributes

  • System scalability to support increasing data volume and user load, aiming for a 99.9% uptime SLA.
  • High performance enabling real-time analytics with processing delays less than 2 seconds for key metrics.
  • Strong security measures including data encryption, vulnerability assessments, and role-based access controls.
  • Maintainability with modular architecture allowing easy updates and feature additions.

Projected Business Benefits and Outcomes

The implementation of this analytics dashboard is expected to improve decision-making efficiency by reducing report generation time by up to 50%, enhance data security, and support scalable growth. The system will empower users with real-time insights, improve strategic planning, and elevate overall operational performance.

More from this Company

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Development of an Internal Analytics Dashboard for Enhanced Data Monitoring
Development of a Secure Internal Analytics Dashboard to Enhance Data-Driven Decision Making
Development of an Internal Analytics Dashboard for Enhanced Data Insights
Development of an Internal Analytics Dashboard for Enhanced Data Management