Get a structured assessment of your data platform, tooling, and operating model to understand whether you’re ready to scale analytics and AI. Our data and AI strategy consultants examine platform architecture, governance, security, data quality, lineage, and delivery maturity to define priorities and a practical upgrade path.
Assess and improve the quality of the datasets that matter most for your analytics and AI applications. Our data and AI strategy consultants define quality rules, ownership, and monitoring (e.g., completeness, timeliness, and consistency). This way, your models, dashboards, and RAG systems will run on trusted data, not assumptions.
Strengthen your data foundation by implementing governance and security controls for responsible AI adoption. ITRex’s data strategy consultants will assist you with role-based access, encryption, PII masking, audit trails, retention policies, and regulatory alignment to protect confidential data and keep AI use cases compliant.
Create a data and AI strategy roadmap that is aligned with your company’s goals and industry constraints. Our team will define target capabilities, prioritize usage scenarios, and map the practical steps (data, platform, governance, and operating model), helping your company achieve measurable results.
Design a data integration approach that makes data usable across analytics and AI systems. ITRex’s data strategy consulting team defines patterns for batch and streaming ingestion, transformation standards, and reliability controls. This ensures that data from disparate systems is consistent, properly governed, and ready for reporting and AI.
Move from isolated experiments to scalable data analytics and machine learning. We help you identify high-impact usage scenarios, determine data requirements and success metrics, and shape the platform and operation framework needed to deploy and maintain AI responsibly—without fragile pipelines or unowned models.
Build a single source of truth your teams actually use. We align KPI definitions, standardize reporting logic, and create dashboards that support day-to-day operations—so decisions are based on consistent, trusted data. As part of our data and AI strategy consulting services, we also ensure your BI foundation is ready to support advanced analytics and AI use cases.
Deploy Gen AI solutions with RAG architectures so your employees can ask questions in natural language and get answers based on trusted internal data. Expert data and AI strategy consulting ensure that our solutions follow strict access rules, log the data used to generate each answer, and can be reviewed for compliance and accuracy.
A strong data and AI strategy turns the information generated by your company into an operating asset, not merely a reporting output. It helps you scale analytics and automation projects with clearer priorities, stronger governance, and fewer delivery risks. Join forces with ITRex’s data strategy consultants to:
AI and data strategy consulting lays the groundwork for using data for smarter decision-making and safe AI adoption (including priority use cases, risk controls, and an operating model for ML/Gen AI). In contrast, traditional data strategies focus solely on reporting, platforms, and governance. For a digital health company, a data and AI strategy consulting engagement may help identify the data that can be fed to a copilot, along with a path for its responsible and ethical usage.
Data discovery is ongoing: you find, catalog, and understand what data exists in your systems and who owns it. It’s a common first step in enterprise data strategy consulting services. A data platform assessment is a structured review of your stack and delivery capability: pipelines, quality, security, lineage, and BI/AI readiness. What does this mean in practice? In manufacturing, discovery maps MES/ERP/IoT datasets; assessment explains why dashboards break or ML pilots can’t scale.
We assess AI readiness across four areas: data (availability, quality, lineage), governance (access, privacy, policies), operating model (roles, ownership, SDLC/MLOps), and platform (architecture, scalability, cost). For example, a supply chain client may require an assessment of event-data timeliness, KPI analysis, and confirmation that their platform supports forecasting and Gen AI. ITRex’s data and AI strategy consultants use these findings to establish clear priorities for your future data initiatives.
Data and AI strategy consulting services result in an executable package: prioritized use cases, target architecture, governance and security guardrails, and a phased roadmap with effort and dependencies. You’ll also get a current-state summary, a future-state analysis, a gap backlog, and quick wins.
Most data strategy consulting services require 2-8 weeks for strategy and readiness, depending on the scope. Timelines vary depending on the number of systems, stakeholder availability, data access, and workshops held across regions. A logistics network with TMS/WMS integration takes longer than a single-location manufacturer. If you include a proof point, allow extra time for practice.
The cost is determined by the project scope, which includes the number of domains and systems, the depth of the assessment, and the amount of change management required. Many data strategy consultants charge a lower price for a focused evaluation and roadmap than for a multi-business unit program. For instance, a single-region logistics or manufacturing scope is less expensive than an enterprise-wide rollout.
Tell us about your challenges, and we’ll come up with a viable solution!
