Automated Data Integration and Real-Time Analytics Dashboard for Multisource Business Insights

The client faces difficulties with scattered and manual data storage across multiple databases and platforms such as analytic tools, CRM systems, and marketing sources. This fragmentation hampers timely analysis and visualization, leading to delays in decision-making. Duplicate transaction IDs and inconsistent data formats further complicate reliable reporting, preventing the client from leveraging full data value for strategic insights and competitive advantage.

A mid-sized digital marketing agency specializing in data-driven strategies for diverse sectors, needing consolidated analytics to inform client campaigns and market positioning.

• Develop an automated data pipeline integrating multiple data sources into a centralized data repository.
• Ensure daily updates of data for real-time accuracy and reporting readiness.
• Implement data cleaning, transformation, and deduplication logic to enhance data quality.
• Create an internal analytics dashboard with visualizations aligning to client-specific reporting needs.
• Improve data-driven decision-making, aiming for timely and accurate insights to support client campaigns and business growth.

• Automated ETL pipelines to extract data from various sources such as analytic platforms, CRM systems, and marketing data feeds.
• APIs to enable real-time data extraction from existing systems.
• A scalable data warehouse (e.g., cloud-based data lake) as the central repository for all collected data.
• Custom logic for identifying and resolving duplicate transaction IDs and inconsistent data entries.
• Query and grouping capabilities to support customizable visualizations.
• Integration with a BI platform for dynamic visualization and reporting updates.

• Marketing analytics platforms
• Customer Relationship Management (CRM) systems
• E-commerce or transaction data sources
• Web and digital analytics tools

• Daily data update cycle for near real-time insights
• System scalability to handle over 1.5 million database entries and expanding data sources
• Data accuracy and validation mechanisms, including deduplication logic
• Security protocols for sensitive data, compliant with industry standards
• Reliable system uptime and minimal latency in data processing and visualization

The implemented system aims to significantly improve data quality and accessibility, enabling the client to generate actionable insights swiftly. Objectives include automating data collection from multiple sources, reducing manual oversight, and delivering up-to-date visualizations. Expected outcomes include enhanced decision-making speed, improved campaign effectiveness, and a competitive edge through real-time analytics and predictive insights.