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Development of a Comparative Business Analytics and Survey Platform
  1. case
  2. Development of a Comparative Business Analytics and Survey Platform

Development of a Comparative Business Analytics and Survey Platform

cogniteq.com
Business services
Education
Financial services

Identifying the Need for an Advanced Business Analytics and Survey Solution

The client experiences challenges in collecting, analyzing, and benchmarking business data efficiently. They require a comprehensive platform that allows companies to create surveys, analyze data automatically, and compare their performance against industry benchmarks to inform strategic decision-making.

About the Client

A mid-sized enterprise providing market research, consulting, or data analytics services seeking to enhance their internal analytics and survey capabilities.

Goals for Building an Industry Benchmarking and Data Analysis Platform

  • Enable companies to create and store customizable surveys and questionnaires with an intuitive interface.
  • Implement automated data collection and summarization tools to facilitate deep analysis of survey results.
  • Provide interactive, exportable reports with visualizations such as graphs, tables, and diagrams.
  • Allow users to filter, categorize, and cross-tabulate data for targeted insights.
  • Support secure access with role-based permissions for different user roles such as administrators and general users.
  • Facilitate ongoing platform updates and enhancements based on user feedback to improve usability and feature set.

Core Functionalities Needed for the Analytics and Survey Platform

  • Survey creation module with templates, question bank, tagging, and role-based assignment capabilities.
  • Data collection infrastructure supporting manual input, automated imports, and integration with external data sources.
  • Automated report generation with visualizations utilizing interactive charts, graphs, tables, and downloadable formats (PDF, DOCX).
  • Advanced filtering and cross-tabulation functions to allow detailed data segmentation and analysis.
  • User management system with role-based access control for administrators and regular users.
  • Real-time industry and sector trend updates accessible via user dashboards.
  • Secure login and data protection mechanisms.

Preferred Technology Stack and Architectural Approach

React.js with Redux for frontend development
SCSS for styling
Laravel for backend API development
Node.js for real-time data handling
PostgreSQL and MySQL for database management
Redis for caching
Highcharts for interactive data visualizations
Drupal for content management integration (if applicable)

Essential External System and Data Integrations

  • External data sources for industry benchmarks and market data
  • Third-party survey tools or APIs for data import/export
  • Authentication systems for secure access
  • Reporting tools for exporting in PDF or DOCX formats

Key Non-Functional System Requirements

  • Scalability to support a growing number of users and data volume
  • High performance ensuring fast response times for data filtering and report generation
  • Robust security measures including role-based permissions and data encryption
  • Availability and uptime of 99.9% to ensure reliable access for all users
  • Compliance with relevant data privacy standards

Projected Business Outcomes from the Analytics Platform

The platform aims to significantly improve data-driven decision-making by enabling rapid survey deployment, automated reporting, and benchmarking. Expected benefits include increased operational efficiency, enhanced competitive insights, and the ability to support strategic growth initiatives, leading to a more informed and agile business environment.

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