Data Analytics Project
Budget: ₹12,500 – ₹37,500 INR
The project centres on building an AI-powered customer-relationship-management platform where data analytics integration shapes every decision. Advanced personalisation remains a key theme, yet the first milestone is a robust analytics layer able to ingest multi-channel customer data, surface predictive insights in real time, and feed them back into the CRM for automated, highly targeted experiences.
To guarantee a product users love, the plan also calls for continuous A/B testing and structured user-feedback analysis. Results from each experiment will loop straight into the design backlog so that UX refinements happen quickly and are always evidence-based.
Key deliverables
• Analytics engine connected to the CRM database and external data sources, producing actionable dashboards and API endpoints for personalisation rules
• End-to-end A/B testing framework with statistical reporting and clearly defined success metrics
• Documentation that explains data pipelines, model logic, and how to interpret the insight visualisations
• Final UX report summarising test outcomes, implemented changes, and next-step recommendations
Acceptance criteria
• Predictive metrics refresh in under 10 seconds for a 1 M-record dataset
• Personalisation rules dynamically adjust email, in-app, and web content with a measurable uplift over control groups
• All dashboards pass a hand-off review with the in-house product team for clarity and usability
When responding, evidence of past work on similar data-driven CRM or analytics projects will be the deciding factor for shortlist consideration.
To guarantee a product users love, the plan also calls for continuous A/B testing and structured user-feedback analysis. Results from each experiment will loop straight into the design backlog so that UX refinements happen quickly and are always evidence-based.
Key deliverables
• Analytics engine connected to the CRM database and external data sources, producing actionable dashboards and API endpoints for personalisation rules
• End-to-end A/B testing framework with statistical reporting and clearly defined success metrics
• Documentation that explains data pipelines, model logic, and how to interpret the insight visualisations
• Final UX report summarising test outcomes, implemented changes, and next-step recommendations
Acceptance criteria
• Predictive metrics refresh in under 10 seconds for a 1 M-record dataset
• Personalisation rules dynamically adjust email, in-app, and web content with a measurable uplift over control groups
• All dashboards pass a hand-off review with the in-house product team for clarity and usability
When responding, evidence of past work on similar data-driven CRM or analytics projects will be the deciding factor for shortlist consideration.