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Development of a Custom Internal Analytics Dashboard for Enhanced Data Insights
  1. case
  2. Development of a Custom Internal Analytics Dashboard for Enhanced Data Insights

Development of a Custom Internal Analytics Dashboard for Enhanced Data Insights

atomicobject.com
Business services

Challenges Faced by Growing Business Service Providers in Data Management and Analytics

The client experiences difficulty consolidating and visualizing complex operational data, leading to inefficiencies in decision-making and limited visibility into key performance metrics, which hampers scalability and client reporting capabilities.

About the Client

A mid-size consulting firm specializing in business process optimization and client reporting, seeking streamlined data visualization tools to enhance decision-making.

Goals for Developing an Internal Analytics and Reporting Platform

  • Create a comprehensive internal dashboard that consolidates disparate data sources to provide real-time insights.
  • Enhance data visualization capabilities to enable quick identification of trends and anomalies.
  • Improve operational efficiency and data accessibility for staff through intuitive UI/UX design.
  • Ensure the platform is scalable, secure, and easily maintainable to support future growth.
  • Reduce time spent on manual data gathering and report generation by 30% within the first 6 months.

Core Functionalities for the Analytics Dashboard Platform

  • Data aggregation layer capable of connecting to various internal databases and APIs.
  • Configurable dashboards with drag-and-drop widgets for visualizations such as charts, tables, and KPIs.
  • Role-based user access control to ensure data security and appropriate permissions.
  • Automated reporting and alert notifications for key metrics and anomalies.
  • Data export functionality for reports in multiple formats (PDF, Excel).
  • Audit logs for tracking data access and changes.

Technology Stack and Architectural Preferences

Modern web frameworks (e.g., React or Angular) for frontend development.
Cloud-hosted backend services (e.g., AWS, Azure) for scalability.
Data visualization libraries (e.g., D3.js, Chart.js).
Secure authentication protocols (e.g., OAuth 2.0).
RESTful API architecture for data services.

External Systems and Data Sources Integration Needs

  • Internal databases for operational data storage.
  • CRM and ERP systems for additional context and data points.
  • Email and notification services for alerts.
  • Existing business intelligence tools (if applicable) for data consistency.

Performance, Security, and Scalability Expectations

  • Platform must support at least 50 concurrent users with minimal latency.
  • System should ensure data security and comply with industry standards (e.g., GDPR, HIPAA if applicable).
  • Availability target of 99.9% uptime.
  • Data refresh interval of less than 5 minutes for real-time dashboards.
  • Scalable architecture to accommodate future data volume growth.

Expected Business Benefits and Impact of the Analytics Platform

The implementation of the internal analytics dashboard is anticipated to reduce manual reporting efforts by 30%, improve data-driven decision making, and enhance operational transparency. Over time, this will support the client’s strategic growth initiatives, improve client reporting accuracy, and foster a culture of data-driven insights.

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