ITRex is a data consulting company that helps you unify definitions, metrics, and master data across teams into one consistent foundation. The outcome? Fewer reporting conflicts, more accurate decisions, and data analysis, data science, and Gen AI features based on the same reliable datasets.
Our data consulting services aim to provide faster access to trusted information through catalogs, role-based controls, and curated datasets. This will allow you to scale self-service operations without exposing sensitive data or introducing security and compliance risks.
With our data consultancy, you can implement quality checks, monitoring, and end-to-end lineage from source to dashboard or model. This way, you catch issues early on, know exactly where numbers come from, and increase confidence in your analytics and AI tools.
ITRex delivers end-to-end data consulting services—from strategy and implementation to long-term optimization. When data volumes, velocity, or source diversity grow, our team designs solutions that stay reliable and cost-aware at scale.
Use our data consulting services to evaluate your data assets, environments, platform health, current capabilities, and ways to maximize the value of your data. ITRex can also assess your AI readiness, including data quality for training, lineage, privacy, and access patterns for Gen AI workloads.
ITRex’s data consulting services include data solutions and engineering, which standardizes modeling, ingestion and transformation, and access across sources. You get reusable datasets, stable SLAs, and production-grade pipelines that do not fail when volumes, schemas, or tools change.
Our data consulting company designs resilient data platform architectures that balance cost, performance, and security—while seamlessly connecting systems across your whole data estate, not just AI and analytics systems.
With our data consultancy, you can build or modernize data warehouses that deliver consistent metrics and governed reporting—optimized for query performance, workload isolation, and integration with operational systems and advanced analytics.
Our data consulting services help you implement data lakehouses or data lakes with clear zones, metadata, and lifecycle controls—so your raw data stays discoverable, governed, and cost-efficient, ready for analytics and AI/Gen AI model training when needed.
ITRex is a data consulting company that sets up ownership, policies, and controls—so data remains consistent and auditable across domains. The result is fewer ad hoc “shadow datasets,” faster approvals, and better data reuse across systems and use cases.
Our data consulting services help you run pipelines with CI/CD, automated testing, monitoring, and cost governance. This keeps releases predictable, reduces incidents, and lets your team enhance data platforms without downtime-driven firefighting.
Collaborate with our data consultants to apply analytics, forecasting, and optimization, and standardize BI with governed metrics. We’ll help you move from static reports to actionable signals and consistent dashboards that improve planning, efficiency, and customer outcomes.
Our data consulting services help with every step of machine learning delivery—from preparing data to deploying, monitoring, and updating models—so that your AI solutions stay consistent, controlled, and dependable in real-world usage scenarios.
Beyond data consulting services, ITRex creates enterprise-grade data solutions you can adopt in select departments or company wide. We make sure our platforms scale well, are properly governed, and cater to your analytics, AI, and automation needs.
Our data consulting services help you consolidate scattered data assets into one enterprise data platform. Instead of reconciling spreadsheets, you’ll get consistent KPIs and reusable datasets, running BI, ML, and Gen AI tools on the same foundation.
As a data consulting company, ITRex can help you roll out self-service analytics that scales beyond a handful of power users. Instead of filing IT tickets, any team can use BI tools or natural-language interfaces to explore trusted KPIs without dealing with dashboard sprawl.
With our data consultancy, you build analytics that drives decisions in near real time, supporting forecasting, anomaly detection, and optimization. Our custom analytics tools improve planning, reduce waste, and respond faster to changes in demand and operations.
ITRex data consultants create and maintain Gen AI-ready knowledge bases for RAG and copilots. We design vector databases and pipelines, metadata, and evaluation workflows to improve answer quality, make responses auditable, and enable monitoring in production.
ITRex is a data consultancy that creates measurable data SLAs and monitors them from start to finish. Our team implements automated checks, alerts, and root-cause tracing to reduce downstream incidents while increasing trust in reports, models, and AI model outputs.
Building data platforms and AI solutions is only half the job. You also need repeatable delivery, clear ownership, and production monitoring. Work in tandem with our data consulting experts to run pipelines, models, and Gen AI workflows with fewer surprises and faster iteration.
Our data consultants follow a proven methodology that reduces uncertainty in complex projects. You get clear priorities, a realistic roadmap, and iterative releases—so progress is visible early and your data platform can grow without major rework.
Enterprise data projects fail when teams rush into tools before agreeing on basics. In retail, “sales” can mean gross, net, online-only, or returns-adjusted—so five teams can create five different dashboards and get five different results. A data consulting company aligns definitions, owners, and KPIs before creating a staged roadmap. This method allows you to reduce rework and avoid infighting.
Data consultants transform hazy business and technology objectives into a plan that your teams can implement. They inventory sources, identify gaps, and determine the quickest path to value. Consider a support organization that requires an AI assistant to summarize tickets. A data consultant defines “good,” connects the appropriate data, and establishes access and quality standards. Then your employees can get answers without having to do any manual work.
Data consulting provides answers to the questions “what” and “why.” Data engineering answers “how” by creating pipelines, models, and datasets. Hire data consultants when you require prioritization, architecture options, and clear success metrics. Bring engineers when you need rapid delivery. Many data consulting services include both, but the main objective of “classic consulting” is to avoid costly rebuilds when stakeholders shift the goalposts.
AI doesn’t need one “perfect” dataset. It needs the right data for the job—e.g., tables for forecasting, text for Gen AI search, and streams for anomaly detection. Data consultants pick high-value use cases, prepare inputs, and define retrieval and monitoring logic. With a data consultancy in the lead, your models and copilots learn from reality, not from messy, mismatched sources.
Most data consultancy work starts with an assessment that takes ~2–6 weeks, depending on sources, access, and complexity of your infrastructure. You get a report, architecture diagrams, a prioritized backlog, and estimates. Then you move into delivery iterations. In regulated or multi-region setups, the assessment goes deeper—so execution runs smoother and with fewer surprises.
In the US, data consulting services often run about $100–$300/hour via consulting firms, while specialized data science can reach $150–$350/hour. Freelance analysts or BI support may sit closer to $55/hour. Your total comes from the team mix (data consultant, engineer, architect), the number of sources, and how fast you want results. To get a precise estimate, get in touch with the ITRex team!
Think of it as “keeping the data and AI machine running smoothly.” In an ERP + CRM + warehouse stack, DataOps checks pipeline health and freshness so reports don’t break on Monday morning. MLOps tracks drift so forecasting stays accurate when demand shifts. LLMOps helps test prompts, update RAG content, and watch answers so your Gen AI assistant stays on policy. Data consultants set the playbook for these specialized services.
Ask for evidence rather than buzzwords. A reputable data consulting firm displays a sample assessment report, an architecture diagram, and how they define success. You should also inquire about who makes decisions, how your potential partners handle security, and how they share knowledge with your team. It’s also a good idea to talk to industry references. Do not hire data consultants who are unable to explain tradeoffs in plain language.
Tell us about your challenges, and we’ll come up with a viable solution!
