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Development of an Internal Analytics Dashboard for Improved Data-Driven Decision-Making
  1. case
  2. Development of an Internal Analytics Dashboard for Improved Data-Driven Decision-Making

Development of an Internal Analytics Dashboard for Improved Data-Driven Decision-Making

unosquare.com
Business services

Challenges in Data Visibility and Reporting for a Business Services Provider

The client faces difficulties in aggregating and visualizing operational and performance data across multiple departments, hindering timely decision-making and strategic planning. Existing systems lack integration, resulting in fragmented insights and inefficient reporting processes.

About the Client

A mid-sized enterprise providing consulting and operational support services, seeking to enhance its internal data analysis capabilities to optimize business operations and client reporting.

Goals for Implementing a Unified Data Analytics Platform

  • Develop an internal analytics dashboard to provide real-time visibility into key business metrics.
  • Automate data collection from diverse sources to ensure consistent and accurate reporting.
  • Enable customizable reporting and data visualization capabilities for different user roles.
  • Improve decision-making efficiency, aiming for a 25% reduction in report generation time within six months of deployment.
  • Enhance data accessibility and usability for executive and operational stakeholders.

Core Functional Specifications for the Analytics Dashboard

  • Data Integration Layer: Connects with various internal systems and data sources to centralize data collection.
  • Interactive Dashboard: Provides customizable visualizations such as charts, graphs, and KPIs dashboards.
  • Reporting Module: Enables generation of detailed, exportable reports based on user-defined parameters.
  • User Role Management: Controls access levels to ensure data security and relevance for different user groups.
  • Real-Time Data Processing: Supports dynamic updates for essential metrics to reflect current operational status.
  • Alert & Notification System: Sends automated alerts for key threshold breaches or anomalies.

Preferred Technologies and Architecture for Data Analytics Platform

Modern web frameworks for frontend development (e.g., React, Angular)
Backend APIs using RESTful or GraphQL architecture
Cloud-based data storage solutions (e.g., cloud data warehouses)
Data visualization libraries (e.g., D3.js, Chart.js)
Scalable server infrastructure to handle increased data loads

Essential External System Integrations for Data Collection

  • Enterprise Resource Planning (ERP) systems
  • Customer Relationship Management (CRM) platforms
  • Operational databases
  • Business intelligence tools
  • Cloud storage services

Critical Non-Functional Requirements for Platform Performance and Security

  • Scalability to handle a 50% increase in data volume annually
  • High availability with 99.9% uptime
  • Data security and compliance with industry standards (e.g., GDPR, ISO 27001)
  • Response times under 2 seconds for interactive visualizations
  • User authentication and role-based access control

Projected Business Benefits and Outcomes of the Analytics Dashboard

The implementation of the internal analytics dashboard is anticipated to significantly improve data visibility and decision-making efficiency, leading to an estimated 30% reduction in operational reporting time and enhanced strategic insights. The platform will foster data-driven culture and support scalable growth in data utilization.

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