Allow users to create and manage accounts with role-based access control (e.g., admins, managers, analysts).
Implement secure authentication methods, including password recovery and multi-factor authentication.
Dashboard Customization:
Provide tools for users to customize their dashboards by selecting widgets, charts, and metrics relevant to their needs.
Allow users to save and switch between multiple dashboard layouts and configurations.
Data Integration and Connectivity:
Integrate with various data sources, such as e-commerce platforms, CRM systems, payment gateways, and inventory management systems.
Support data import from external files (e.g., CSV, Excel) and APIs for real-time data synchronization.
Sales Performance Analysis:
Display metrics and visualizations related to sales performance, including total sales, revenue, average order value, and sales by product category.
Provide trend analysis and historical comparisons to track sales growth and performance over time.
Customer Insights:
Show metrics related to customer behavior, such as customer acquisition, retention rates, lifetime value, and purchase frequency.
Provide demographic and segmentation analysis to understand customer profiles and preferences.
Product and Inventory Management:
Display information on product performance, including best-selling products, inventory levels, and stock turnover rates.
Provide alerts for low inventory levels and suggest reorder points based on historical data.
Marketing and Campaign Effectiveness:
Track the performance of marketing campaigns, including metrics such as conversion rates, ROI, and traffic sources.
Provide insights into the effectiveness of various marketing channels and promotional activities.
Financial Reporting:
Generate financial reports, including profit and loss statements, cost of goods sold (COGS), and revenue breakdowns.
Support budget vs. actual comparisons and financial forecasting.
Real-Time Data and Alerts:
Provide real-time updates and alerts for critical metrics, such as sales thresholds, inventory levels, and significant changes in customer behavior.
Allow users to set up custom alerts and notifications based on specific conditions or triggers.
Interactive Data Visualization:
Include interactive charts, graphs, and tables to visualize data and enable users to drill down into specific metrics.
Support filtering, sorting, and zooming capabilities for detailed data exploration.
Export and Sharing Options:
Allow users to export reports and visualizations in various formats (e.g., PDF, Excel, CSV).
Provide options for sharing dashboards and reports with other users or stakeholders via email or direct links.
User and Activity Management:
Provide tools for administrators to manage user accounts, roles, and permissions.
Track user activity and access logs for security and audit purposes.
Data Security and Privacy:
Ensure secure storage and transmission of data, including encryption and access controls.
Implement privacy settings and compliance with data protection regulations (e.g., GDPR, CCPA).
Non-Functional Requirements
Scalability:
The system should handle increasing volumes of data and users without performance degradation.
Support for scaling infrastructure to accommodate growth and peak usage periods.
Performance:
Ensure fast and responsive interactions, with quick data retrieval, report generation, and dashboard updates.
Optimize performance to handle large datasets and concurrent users efficiently.
Reliability and Availability:
Ensure high availability with minimal downtime, supported by redundancy, load balancing, and failover mechanisms.
Implement regular backups and disaster recovery procedures to maintain service continuity.
Usability:
The user interface should be intuitive and user-friendly, accommodating users with varying levels of technical expertise.
Provide a consistent and seamless experience across different devices and platforms.
Security:
Implement robust security measures to protect user data, business information, and financial transactions, including encryption, secure authentication, and access controls.
Protect against unauthorized access, data breaches, and cyber threats.
Maintainability:
Ensure the system is easy to maintain, with clear documentation, modular design, and support for regular updates and bug fixes.
Implement automated monitoring and logging to identify and address issues promptly.
Compliance:
Ensure the system complies with relevant regulations and standards, such as data protection laws (e.g., GDPR, CCPA) and financial reporting requirements.
Provide features to support auditing, data retention, and regulatory reporting requirements.
Data Integrity and Accuracy:
Ensure that all data collected and processed by the system is accurate, consistent, and up-to-date.
Implement validation checks and data integrity mechanisms to prevent errors and data corruption.
Localization and Internationalization:
Support multiple languages and regional settings to cater to a global user base.
Allow easy adaptation of the system to meet local regulations and cultural practices.
Accessibility:
Ensure that the system is accessible to users with disabilities, following web accessibility standards (e.g., WCAG).
Provide features such as screen reader compatibility, keyboard navigation, and adjustable text sizes.
Privacy and Data Ownership:
Ensure that users retain ownership of their data and can easily control, access, and delete their information.
Provide transparency regarding data usage, sharing, and storage practices, with clear consent mechanisms.
