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Development of an Internal Analytics Dashboard for Enhanced Data Management and Visualization
  1. case
  2. Development of an Internal Analytics Dashboard for Enhanced Data Management and Visualization

Development of an Internal Analytics Dashboard for Enhanced Data Management and Visualization

intersog.com
Technology

Identifying Challenges in Data Management and Insight Accessibility

The client faces difficulties in organizing, visualizing, and analyzing large volumes of data across multiple systems, leading to inefficient decision-making processes and limited ability to leverage data-driven insights effectively.

About the Client

A mid-sized technology firm specializing in data-driven solutions and digital services, seeking to optimize data handling and insights delivery.

Goals for Enhanced Data Processing and Business Intelligence

  • Create an internal analytics dashboard to centralize data visualization and reporting.
  • Improve data accessibility for decision-makers through a user-friendly interface.
  • Automate data collection, storage, and reporting processes to reduce manual effort.
  • Enhance scalability and performance to handle increasing data volumes.
  • Achieve targeted reductions in reporting time and improve data accuracy.

Core Functionalities for Data Visualization and Management Platform

  • Centralized data repository supporting scalable databases for various data types.
  • Real-time data ingestion from multiple sources and formats.
  • Customizable dashboards with interactive visualizations.
  • Automated reporting tools with scheduling and distribution functionalities.
  • Role-based access control ensuring secure data handling.
  • User management and permission settings for data governance.
  • Integration capabilities with existing enterprise systems and external data sources.

Preferred Technologies and Architectural Approaches

Python, Java, PHP for backend development
JavaScript frameworks such as React, Vue.js, Angular for front-end interfaces
Cloud-based hosting solutions (e.g., Azure, AWS)
Databases including MySQL, NoSQL options like MongoDB or GraphDB
Machine Learning and Artificial Intelligence tools for predictive insights
Containerization and orchestration tools like Docker and Kubernetes

External System and Data Source Integrations

  • Legacy or existing enterprise data systems
  • External APIs for real-time data feeds
  • Business intelligence and reporting tools
  • Authentication and identity management systems

Performance, Security, and Scalability Expectations

  • System should support data volumes increasing by 50% annually
  • Dashboard response time under 2 seconds for interactive elements
  • Secure data transmission with encryption and role-based access control
  • High availability with 99.9% uptime
  • Compliance with relevant data privacy regulations

Projected Business Benefits and Metrics for the New Data Platform

The implementation of the centralized analytics dashboard is expected to reduce data reporting time by 40%, increase data accuracy, and improve decision-making efficiency. Enhanced data accessibility and visualization capabilities will empower stakeholders to gain real-time insights, facilitating faster strategic decisions and supporting scalable business growth.

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