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Development of a Secure Internal Analytics Dashboard for Data-Driven Business Optimization
  1. case
  2. Development of a Secure Internal Analytics Dashboard for Data-Driven Business Optimization

Development of a Secure Internal Analytics Dashboard for Data-Driven Business Optimization

innowise.com
Business services

Identified Challenges in Data Accessibility and Analytics Efficiency

The client faces difficulties in aggregating and analyzing marketing and operational data from multiple sources, leading to delayed insights and suboptimal decision-making processes. The current processes lack automation and centralized visualization, hindering strategic planning.

About the Client

A mid-sized international consulting firm specializing in digital transformation solutions, seeking to enhance internal data analysis capabilities.

Goals for Implementing an Advanced Data Analytics Platform

  • Develop a centralized analytics dashboard to aggregate data from various sources for real-time insights.
  • Enhance data visualization capabilities for clearer interpretation of key metrics.
  • Automate data collection and reporting processes to reduce manual effort and errors.
  • Improve decision-making speed and accuracy through accessible, actionable data insights.

Core System Functionalities for Data Visualization and Management

  • Data aggregation engine to collect and consolidate data from multiple external sources and internal systems.
  • Configurable dashboards providing role-based access to various levels of detailed metrics.
  • Custom report generation tools with scheduling and automated delivery options.
  • User management and access control to ensure data security and compliance.
  • Notification system for real-time alerts on critical metric changes.
  • Audit logs to track user activities and data access for compliance purposes.

Technological Preferences for System Architecture and Development

Cloud-based infrastructure for scalability and remote access
Responsive web application framework (e.g., React, Angular)
Backend services using Node.js or Python for data processing
Secure API development for data integration
Encryption protocols for data security

Necessary External System Integrations for Data Consolidation

  • CRM systems for sales and customer data
  • Marketing automation platforms
  • Internal databases and data warehouses
  • Third-party analytics tools or APIs
  • Authentication providers for secure login

Key Non-Functional Requirements Ensuring Performance and Security

  • System scalability to handle increasing data volume (up to 10 million records)
  • High availability with 99.9% uptime SLA
  • Response times under 2 seconds for dashboard queries
  • Data encryption both at rest and in transit
  • Compliance with relevant data protection regulations

Projected Business Benefits and Performance Improvements

The implementation of the analytics dashboard is expected to reduce data processing and reporting time by 50%, improve decision-making efficiency by enabling real-time insights, and enhance data security and compliance. These improvements aim to support strategic growth initiatives and operational excellence.

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