We trace and map all of your data across departments and systems, identifying gaps, redundancies, and improper data processing workflows. Then we recommend streamlined architectures and pipeline fixes for your data platform solution, ensuring that data flows where and when it should.
Our data platform consultants identify what is slowing down your BI reports and dashboards. Next, ITRex will optimize queries and fine-tune your data platform solution, allowing you to focus on driving your business forward rather than troubleshooting.
An ITRex data platform consultant helps define consistent metrics and build a semantic layer that reflects your business. This aligns teams, reduces confusion, and builds trust in your reports—paving the way for self-service analytics.
As part of our data platform services, we document key processes and define business logic, reducing your company’s reliance either on a single vendor or internal data analysts. ITRex also develops governance frameworks that increase transparency, reusability, and team self-sufficiency.
Our data platform consultants identify gaps in real-time data access and processing, model-ready structures, and pipelines. With these insights, we create a roadmap for implementing AI at scale—from smarter analytics to anomaly detection and intelligent automation.
No matter if you're fixing reporting chaos or considering launching AI agents, our data platform services help you move from firefighting to strategic planning! ITRex supports every phase of your data journey—from evaluation and strategy to implementation and optimization.
Data platform consulting helps you determine where things stand—from your current architecture to gaps in the data model, integration gaps, and technical debt.
Our data platform consultants thoroughly inspect your analytics and reporting tools, flagging redundant logic and highlighting opportunities for optimization.
By tapping into data platform consulting, you establish rules and processes for managing data accuracy, ownership, access control, and compliance, all of which are critical for scalability and trust.
Our data platform consulting services produce a phased action plan that outlines both quick wins and long-term projects, tied to clear business impact, effort and ROI estimates, and strategic priorities.
By standardizing KPIs and creating a business-ready semantic layer that encourages consistent, trustworthy reporting, you lay the groundwork for an efficient data platform solution.
From pipeline logic to data model design, our dedicated data platform consultants will prepare developer-grade documentation to reduce knowledge gaps and onboard new team members faster.
Data platform consulting is a strategic and technical service that helps organizations assess, optimize, and modernize their data ecosystems. It covers every layer—from ingestion and storage to transformation, analytics, governance, and AI enablement. Whether you’re dealing with fragmented systems, unreliable reports, or slow pipelines, a data platform consultant helps you identify bottlenecks and implement the right data platform solutions for your business. At ITRex, we tailor our data platform services to your architecture, industry, and strategic objectives.
A data platform consultant assesses your current infrastructure, identifies problems, and creates a scalable, actionable roadmap for improvement. This includes auditing data pipelines, improving data quality, creating semantic layers, and assisting teams in implementing modern practices such as MLOps or real-time analytics. As experienced data platform consulting partners, we can help you choose vendor-neutral technology and support both strategy and implementation. Our consultants collaborate across departments—from data engineers to business leaders—to align your platform with core KPIs.
An assessment is a foundational part of data platform services—it uncovers technical debt, ineffective pipelines, and governance gaps. Data platform consulting goes a step further by helping you act on those findings through roadmap development, architecture redesign, and implementation support. While assessments identify the “what,” data engineering and platforms consulting help you plan and execute the “how.” At ITRex, we offer both, often starting with an assessment and evolving into full-service data platform consulting.
A standalone assessment usually takes 4–6 weeks, depending on your platform complexity and stakeholder availability. Full data platform consulting engagements—including implementation—can run longer, but we always work in agile, time-boxed phases. Our modern data platform consulting model is flexible and adapts to your team’s bandwidth, internal priorities, and project scope. We also provide fixed-price options for clarity and control.
Not necessarily. We provide actionable, fully documented recommendations your in-house data team can implement independently. However, many clients choose to keep us engaged for delivery—especially when dealing with complex custom data platform projects or scaling cloud data platform consulting initiatives. Our implementation support ensures a smooth transition from roadmap to reality, with faster time to value.
No. Our data platform consultants routinely work with hybrid environments, on-premise systems, and legacy platforms. Whether you’re cloud-native, migrating to the cloud, or maintaining critical systems on-premises, we adapt our cloud data platform consulting approach to fit your stack. Our solutions are built around your business needs—not a specific technology.
A data platform is the foundation of your company’s data ecosystem. It centralizes data collection, transformation, storage, and analysis—streamlining every process from daily reporting to AI workload management. A well-architected data platform solution enables self-service analytics, ensures data governance, and supports scalable, real-time decision-making and AI integration. ITRex’s data platform services are designed to make these outcomes a viable reality.
Most modern data platforms include five essential layers:
Our data platform consulting services cover each of these layers, helping you standardize, scale, and govern data across your organization.
Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, and Databricks are examples of modern data platforms that provide scalable storage and processing for analytics and machine learning, respectively. But a data platform isn’t just a tool—it’s a custom architecture that reflects your unique goals. That’s why ITRex offers custom data platform solutions tailored to your stack, use cases, and business model. Our consultants help you select and configure the right technologies, whether you need a new solution or optimization of an existing one. For more information on data platforms and their capabilities, see this article about data analytics costs.
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