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Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision-Making
  1. case
  2. Development of an Internal Analytics Dashboard to Enhance Data-Driven Decision-Making

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

velvetech.com
Information technology
Financial services
Business services

Identifying Challenges in Data Visibility and Efficiency

The client faces difficulties in accessing consolidated project data and analytics, leading to delays in decision-making and reduced operational efficiency. Their current system lacks integrated dashboards and real-time data insights, impacting their ability to swiftly adapt to client needs and project changes.

About the Client

A mid-sized IT consultancy specializing in digital transformation and custom software development, seeking to improve their internal data analysis capabilities to accelerate project delivery.

Goals for Building a Robust Data Analytics Platform

  • Implement an internal analytics dashboard to provide real-time visibility into project metrics and performance indicators.
  • Enable quick and informed decision-making by consolidating data from multiple sources into an intuitive interface.
  • Enhance operational efficiency by reducing manual data processing time by at least 30%.
  • Improve client project delivery timelines through faster project tracking and issue identification.
  • Achieve scalable data handling capabilities to support future growth and additional data sources.

Core Functional Specifications for Data Analytics System

  • Data aggregation module consolidating information from project management, resource allocation, and performance tracking systems.
  • Interactive dashboards with graphical charts, KPIs, and trend analysis tools.
  • Role-based access control ensuring data security and tailored user experiences.
  • Automated data refresh mechanisms with real-time streaming where possible.
  • Export and sharing capabilities for reports and dashboards.
  • Responsive design for accessibility across devices and platforms.

Technology Stack and Architectural Choices for the Dashboard

Cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery)
Front-end frameworks such as React or Angular for dynamic dashboards
Backend APIs utilizing REST or GraphQL for data retrieval
Data visualization libraries like D3.js or Chart.js
Security protocols including OAuth 2.0 and SSL encryption

External Systems and Data Sources Integration Needs

  • Project management tools (e.g., Jira, Trello) for task and project data
  • Time tracking and resource management systems
  • Client communication and reporting platforms
  • Company’s existing ERP or CRM systems where applicable

Non-Functional Parameters for System Performance and Security

  • System scalable to handle data from up to 50 concurrent users with minimal latency
  • Dashboard updates every 5 minutes for near-real-time insights
  • 99.9% uptime with robust disaster recovery protocols
  • Data encryption both at rest and in transit
  • Compliance with relevant data security and privacy standards

Anticipated Business Benefits of the Analytics Dashboard

The implementation of the analytics dashboard is expected to reduce decision-making time by approximately 30%, improve project delivery efficiency, and enable the client to manage larger project portfolios with better insight-driven management. This will position the client as a more agile and data-savvy organization capable of supporting rapid growth and client demands.

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