Functional requirements of Social Media Analytics System with non-functional

Functional Requirements

1. User Authentication and Authorization
   • Secure registration, login, and account management for users, including analysts, marketers, and administrators.
   • Role-based access controls to manage permissions for different system features and data.
2. Social Media Data Integration
   • Integrate with various social media platforms (e.g., Twitter, Facebook, Instagram, LinkedIn) to collect data such as posts, comments, likes, shares, and user profiles.
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   • Support for real-time and historical data retrieval.
3. Data Collection and Storage
   • Collect and store social media data from integrated platforms efficiently.
   • Ensure data is organized and accessible for analysis and reporting.
4. Sentiment Analysis
   • Analyze social media content to determine sentiment (e.g., positive, negative, neutral).
   • Provide sentiment trends and insights over time.
5. Trend Analysis and Reporting
   • Identify and analyze trends in social media conversations, hashtags, and topics.
   • Generate reports and visualizations on social media trends, engagement metrics, and performance.
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6. Influencer and Engagement Analysis
   • Identify key influencers and analyze their impact on social media conversations.
   • Track engagement metrics such as likes, shares, comments, and follower growth.
7. Competitor Analysis
   • Monitor and analyze competitors’ social media activity and performance.
   • Provide comparative insights and benchmarks against competitors.
8. Customizable Dashboards
   • Offer customizable dashboards for users to visualize key metrics, trends, and insights.
   • Allow users to configure and save different dashboard views based on their needs.
9. Alert and Notification System
   • Send real-time alerts and notifications for significant events or changes in social media activity (e.g., spikes in mentions, negative sentiment).
   • Provide options for configuring alert thresholds and notification preferences.
10. Data Export and Integration
    • Allow users to export data and reports in various formats (e.g., CSV, PDF, Excel).
    • Integrate with other business systems (e.g., CRM, marketing platforms) for seamless data sharing and analysis.
11. User Interaction and Feedback
    • Provide features for users to comment on and discuss insights or reports.
    • Offer mechanisms for collecting user feedback and suggestions.
12. Historical Data Analysis
    • Support analysis of historical social media data to identify long-term trends and patterns.
    • Provide tools for comparing historical data with real-time data.

Non-Functional Requirements

1. Performance
   • Ensure the system can handle large volumes of social media data and perform analyses efficiently.
   • Provide quick response times for data retrieval, analysis, and report generation.
2. Scalability
   • The system should be scalable to accommodate increasing amounts of data, users, and social media platforms.
   • Support both horizontal and vertical scaling to manage growth and increased data volume.
3. Availability
   • Ensure high availability with minimal downtime (e.g., 99.9% uptime).
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   • Implement redundancy and failover mechanisms to maintain system operation during failures.
4. Security
   • Protect user data, social media data, and system communications through encryption and secure access controls.
   • Implement regular security assessments and adhere to data protection regulations.
5. Usability
   • Design an intuitive and user-friendly interface for analysts, marketers, and other users.
   • Provide clear navigation, help documentation, and user support.
6. Compatibility
   • Ensure compatibility with various devices (e.g., desktops, tablets, mobile phones) and operating systems.
   • Integrate seamlessly with social media platforms and other business systems.
7. Maintainability
   • The system should have a modular and well-documented codebase to facilitate maintenance and updates.
   • Implement automated testing, continuous integration, and version control practices.
8. Reliability
   • Ensure reliable operation with robust error handling and recovery mechanisms.
   • Minimize system errors and downtime through proactive monitoring and maintenance.
9. Compliance
   • Adhere to relevant regulations and standards for data privacy and social media analytics (e.g., GDPR, CCPA).
   • Ensure compliance with industry best practices and guidelines.
10. Efficiency
    • Optimize resource usage (e.g., memory, processing power) to ensure efficient operation and cost-effectiveness.
    • Implement data processing and storage practices that minimize resource consumption.