Development of a Scalable Internal Analytics Dashboard for Operational Efficiency

The client faces difficulties in efficiently aggregating vast amounts of operational data from multiple sources, resulting in delayed insights and hindered decision-making processes. Their manual data handling processes lead to inaccuracies and inefficiencies, negatively impacting overall business agility.

A mid-sized consulting firm specializing in providing data-driven solutions to optimize client operations, seeking an internal analytics platform to enhance decision-making and process management.

• Build an internal analytics dashboard capable of aggregating and visualizing multiple data streams in real-time.
• Enhance data accuracy and reduce manual intervention through automation.
• Enable stakeholders to access customizable, interactive dashboards to support swift decision-making.
• Achieve a 30% reduction in report generation time and improve data accuracy metrics by 20%.
• Support scalability to handle increasing data volume over multiple business units.

• Data aggregation module to collect data from multiple internal and external sources.
• Interactive dashboards with customizable widgets and filters.
• Real-time data update capability with live refresh intervals.
• Automated data validation and cleansing routines.
• Role-based user authentication and permission controls.
• Export and sharing options for reports and dashboards.
• Notification and alert system for data anomalies or thresholds.

• Enterprise data sources such as CRM, ERP, and other operational systems
• Authentication systems for role-based access control
• Notification platforms for alerts (e.g., Slack, Email)

• System should support simultaneous access for at least 200 concurrent users.
• Dashboard should load and respond within 3 seconds for 95% of requests.
• Data encryption both at rest and in transit to ensure security.
• System designed for horizontal scalability to accommodate future growth.
• Compliance with relevant data privacy standards such as GDPR.

The implementation of the analytics dashboard is expected to reduce manual reporting efforts by 50%, improve data accuracy by 20%, and enable faster, data-driven decisions. Overall, these improvements aim to enhance operational efficiency, support strategic initiatives, and foster stronger data governance, leading to sustained competitive advantage.