Development of a Unified Data Analytics Platform for Enhanced Business Insights

The client struggles with multiple disparate data sources leading to inefficient data consolidation and delayed insights. Existing analytics are manual, time-consuming, and lack real-time capabilities, limiting their ability to quickly respond to market trends and client needs.

A mid-sized consulting firm specializing in data-driven solutions seeking to consolidate and analyze diverse client data streams.

• Create an integrated analytics dashboard that consolidates data from various sources.
• Automate data ingestion and cleaning processes to enhance efficiency.
• Enable real-time data analysis to support faster decision-making.
• Improve data accuracy and security to ensure reliable insights.
• Support scalability to accommodate increasing data volumes over time.

• Automated data ingestion pipelines supporting various data formats and sources.
• Real-time data processing and updating dashboards.
• An internal analytics dashboard with customizable reports and visualizations.
• Secure user authentication and role-based access controls.
• Data validation and error handling mechanisms to ensure data quality.

• Multiple external data sources (databases, APIs, flat files)
• authentication and identity management systems
• existing client CRM and ERP systems for contextual data

• System should support concurrent access by at least 100 users.
• Data processing latency must be under 2 minutes for real-time analytics.
• Platform must implement end-to-end encryption and comply with data privacy regulations.
• Scalable architecture to handle data growth of up to 10TB annually.

The implementation of the integrated analytics platform is expected to reduce data processing time by 50%, improve reporting accuracy, and enable near real-time insights, thereby empowering strategic decision-making, increasing operational efficiency, and supporting business growth targets.