Development of an Automated Data Enrichment and Management System to Enhance Product and Pricing Databases

The client faces difficulties transitioning from manual to automated data management processes, requiring additional skilled personnel to scale their product and pricing databases. Limited local access to specialized talent pools hampers their ability to match larger competitors' teams, leading to slower growth and inefficiencies in data handling.

A mid-sized technology company enhancing its data management capabilities, aiming to improve product and pricing database growth through automated processes and dedicated data operations teams.

• Build and deploy a dedicated data operations team of at least 8 skilled operators within 5 months.
• Achieve a 50% increase in product database size.
• Achieve a 500% increase in pricing database size.
• Reduce manual labor reliance through automation and smarter workflows.
• Develop systems that are scalable, reliable, and easily adaptable for secondary system knowledge expansion.

• A user-friendly interface for data operators to input, review, and manage data entries.
• Automated data validation, cleaning, and enrichment workflows to reduce manual effort.
• Role management and access controls aligned with team independence and growth phases.
• Support for secondary system integrations for knowledge expansion post-setup.
• Reporting and analytics dashboards to monitor data growth, quality, and team performance.

• Data sources for product and pricing information
• Secondary systems for knowledge expansion
• Reporting and analytics tools

• Scalability to support future data volume growth
• High performance to enable real-time data enrichment workflows
• Security protocols to protect sensitive data
• Availability and reliability to ensure 99.9% uptime
• Ease of onboarding addition of new team members and systems

Implementation of this system aims to enable a 50% growth in product databases and a 500% expansion in pricing data within the first year, while reducing manual data handling efforts. The scalable and automated solution will position the client to compete effectively with larger teams, improve operational efficiency, and support ongoing data-driven decision-making.