- We evaluate the health of your data across the dimensions that matter most for analytics and AI.
- Completeness and accuracy
- Duplicate and inconsistent records
- Schema alignment and naming standards
- Referential integrity
- Historical data drift
- You receive a clear scorecard and prioritized recommendations.
- Data Architecture & Pipeline Review
- Your data systems should be reliable, scalable, and easy to maintain. We assess how your data moves through your organization and where risks exist.
- ETL/ELT pipeline evaluation
- Source‑to‑target mapping validation
- Storage and warehouse structure
- Performance bottlenecks
- Failure points and resiliency gaps
- Compliance & Governance Audit
- Regulated industries require traceability and defensible processes. We review your environment for alignment with industry standards.
- SOC, SOX, HIPAA, PCI considerations
- Data lineage and documentation
- Access controls and permissions
- Retention and archival policies
- Audit‑ready reporting workflows
- AI Readiness Evaluation
- AI only works when the data behind it is trustworthy. We assess whether your current environment can support AI, automation, and RAG‑based solutions.
- Data cleanliness and structure
- Metadata availability
- Unstructured data handling
- Integration readiness for vector databases
- Opportunities for automation and insights agents
- Deliverables You Receive
- 📘Executive Summary
- A clear, non‑technical overview of your data environment, risks, and opportunities.
- 📑Detailed Findings Report
- A structured breakdown of issues, root causes, and impact.
- 🛠️Prioritized Remediation Plan
- A step‑by‑step roadmap with timelines, effort levels, and recommended sequencing.
- 🎯AI Readiness Score
- A simple, actionable rating that shows how prepared your organization is for AI adoption.
- 📘Executive Summary