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Development of a Custom Internal Analytics Dashboard for Business Optimization
  1. case
  2. Development of a Custom Internal Analytics Dashboard for Business Optimization

Development of a Custom Internal Analytics Dashboard for Business Optimization

atomicobject.com
Business services

Identified Challenges in Data Visibility and Decision-Making Efficiency

The client faced difficulties in accessing consolidated, real-time insights from their operational data, leading to suboptimal decision-making and delayed response times. Their existing systems lacked a centralized dashboard that integrated multiple data sources, impacting overall business agility and client service quality.

About the Client

A mid-sized consulting firm specializing in providing strategic solutions to various corporate clients, seeking to improve data visibility and decision-making processes.

Goals for Enhancing Data Analytics and Operational Insights

  • Create a comprehensive internal analytics dashboard that consolidates data from multiple sources for real-time visibility.
  • Improve decision-making speed and accuracy by providing customizable data visualizations.
  • Establish scalable and secure architecture to support expanding data needs and user access.
  • Achieve measurable improvements in operational efficiency metrics and data-driven decision processes.

Core Functional Specifications for the Analytics Dashboard

  • Data Integration Module: Connects and consolidates data streams from various sources such as databases, APIs, and third-party services.
  • Customizable Dashboards: Enables users to create, modify, and save tailored views with drag-and-drop widgets.
  • Real-Time Data Processing: Supports live data updates for timely insights.
  • Role-Based Access Control: Ensures secure access based on user permissions.
  • Advanced Visualization Tools: Provides charts, graphs, and heatmaps to facilitate intuitive data interpretation.
  • Export and Sharing Capabilities: Allows exporting reports and sharing dashboards across teams.
  • Alerting System: Notifies users of critical changes or anomalies in data.

Recommended Technologies and Architectural Approaches

Cloud-based data storage and processing platforms (e.g., AWS, Azure, Google Cloud)
Modern web frameworks (e.g., React, Angular)
Data visualization libraries (e.g., D3.js, Chart.js)

Required System Integrations for Data Consolidation

  • Internal databases (SQL/NoSQL) for operational data
  • External APIs for third-party data sources
  • Authentication services for security and role management

Critical Non-Functional System Requirements

  • Scalability to support increasing data volumes and user base, aiming for up to 1,000 concurrent users
  • System availability of 99.9% uptime
  • Data security complying with industry standards (e.g., ISO 27001, GDPR)
  • Response times under 2 seconds for dashboard load and data updates
  • Ease of use with minimal training required

Projected Business Benefits and System Impact

Implementation of the internal analytics dashboard is expected to significantly enhance data visibility, leading to faster and more informed decision-making processes. Targeted improvements include a 25% reduction in time spent on data retrieval, improved operational efficiency, and increased stakeholder satisfaction through timely insights.

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