Data & Analytics Proof-of-Concept

Modern businesses are rich in data, but often lack the infrastructure, integration, and insights needed to act on it. New Math Data’s Data & Analytics Proof-of-Concept gives your team a fast, structured way to validate high-value analytics use cases, leveraging AWS-native services. Using your real data and business questions, we build a prototype solution that shows immediate value and sets the stage for long-term transformation. This PoC is eligible for AWS funding support and is delivered in under 3 weeks.

Service Components Use Case Discovery & Prioritization. Define key business questions and align analytics initiatives with strategic goals. We facilitate structured discovery sessions to prioritize high-impact use cases and success metrics.

Data Source Assessment & Integration Planning. Identify, profile, and assess the readiness of internal and third-party data sources. We determine connectivity, data quality, and transformation needs to enable meaningful insights.

PoC Environment Setup & Pipeline Deployment. Stand up a secure, scalable AWS environment for analytics. We provision cloud resources, build ingestion pipelines, and stage cleaned data for reporting and exploration.

Dashboard Development & Visualization Design. Create interactive dashboards using Amazon QuickSight tailored to your use case. We highlight key KPIs, trends, and patterns to drive better decision-making across your organization.

Amazon Q Integration (Optional). Enable generative BI by layering Amazon Q over your dashboards—allowing users to query data using natural language and receive AI-powered insights in seconds.

Insight Generation & Validation. Work closely with business stakeholders to validate findings. We interpret the results, identify actionable insights, and measure outcomes against predefined KPIs.

Documentation & Knowledge Transfer. Deliver PoC architecture, data flow diagrams, and dashboard configuration documentation. We also provide internal enablement to support broader rollout.

Roadmap to Production. Provide a clear execution plan to evolve the PoC into a scalable production analytics platform, including cost considerations, data governance recommendations, and AWS architecture guidance.

Ideal For

• Business and data teams exploring AI-powered analytics
• Organizations modernizing from legacy BI platforms
• Teams seeking real-time dashboards and predictive insights
• Companies preparing to scale enterprise-wide reporting on AWS

Supported Use Cases

• Customer Insights & Segmentation: Analyze behavioral, transactional, or demographic data to identify trends, segment customers, and improve personalization.
• Sales & Revenue Analytics: Track sales performance, pipeline health, and revenue forecasts using real-time visualizations and predictive modeling.
• Operational Performance Monitoring: Monitor and optimize supply chain, logistics, or field service performance using time-series and geospatial data.
• Financial Reporting & Forecasting: Automate financial dashboards, streamline monthly reporting, and project future performance with statistical models.
• Marketing Attribution & Campaign Analysis: Understand which channels and campaigns are driving engagement, conversions, and ROI.
• Workforce & HR Analytics: Track employee retention, hiring trends, productivity metrics, and training effectiveness.
• Embedded Analytics for Products & Portals: Build analytics directly into customer- or partner-facing tools using Amazon QuickSight embedding.

Outcomes for Organizations

• Faster Insights: Reduce manual reporting time and empower users with real-time dashboards and self-service analytics.
• Smarter Decisions: Uncover patterns, trends, and predictions that drive business performance.
• AI-Enhanced Analytics: Enable non-technical users to explore data using natural language via Amazon Q.
• Scalable Architecture: Lay the foundation for modern analytics workflows built on AWS.
• Low-Risk Validation: Test real-world value before scaling, eligible for AWS funding to reduce upfront investment.