Trusted by global leaders to power their data infrastructure
Leverage a unified and consistent data warehouse with a reliable partner
Is your leadership team making decisions based on incomplete, inconsistent, or outdated data in AI initiatives? These challenges are signs of an underperforming or outdated data warehouse that can cost enterprises millions in missed opportunities, operational inefficiencies, and regulatory risk.
At N-iX, we address these problems head-on by designing, building, and modernizing data warehouses that become the backbone of analytics and AI. Our 200+ data engineers, architects, AI and BI specialists have delivered 60+ large-scale implementations for global enterprises. We bring deep expertise with Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse, as well as advanced data governance, performance optimization, and multi-cloud cost control capabilities.
A well-architected data warehouse is the foundation for reliable Business Intelligence, advanced analytics, and AI-driven innovation. Can your data infrastructure support the speed, reliability, scale, and accuracy required for BI and AI?
Address operational bottlenecks with data warehouse consulting
At N-iX, we know enterprises face growing challenges in managing data for efficiency, scalability, and AI adoption. By addressing these barriers, our data warehouse consulting services help you establish a solid foundation, optimize infrastructure, and accelerate insight generation.
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Establish an AI-ready data foundation
AI systems depend on large volumes of accurate, consistent, and timely data. A modern data warehouse as a service consolidates information from across the enterprise and eliminates silos. This foundation improves model accuracy, reduces training time, and lowers the risk of bias or error in AI-driven decisions.
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Enable efficiency and scalability in data operations
Enterprises need to process and analyze growing volumes of data without proportionally increasing operational overhead. Data warehouse consulting services assess current workflows, identify inefficiencies, and design automation strategies that reduce manual intervention.
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Optimize infrastructure for performance and cost control
Inefficient use of cloud or on-premises resources can quickly undermine the value of a data platform. Expert data warehouse consultancy helps enterprises right-size their infrastructure, select the most appropriate technologies, and implement performance tuning practices that deliver sustained cost efficiency.
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Accelerate strategic insight and innovation
Delays in accessing and interpreting data can slow down competitive responses. Data warehouse consulting removes bottlenecks in data pipelines, ensures compatibility with advanced analytics and AI initiatives, and improves time-to-insight.
Our client’s success stories of leveraging data warehouse solutions Case studies
Our data warehouse consulting services
N-iX provides a full range of data warehousing services designed to help enterprises build, modernize, and evolve their analytical ecosystems. Experienced data architects and engineers lead every engagement to make the data platform robust, scalable, and compliant.
Data warehouse consulting
We provide strategic and technical guidance to help organizations define the optimal data warehouse approach for their needs. Our data warehouse consultants evaluate existing infrastructure, identify architectural gaps, select the right deployment model (cloud, on-premises, or hybrid), and create a roadmap that balances performance, compliance, and cost efficiency.
Data warehouse research and design
We design a data warehouse tailored to each enterprise’s analytical, operational, and regulatory needs. Architecture decisions are made with scalability, performance, and governance in mind. Design deliverables also lay the groundwork for seamless integration with BI tools, AI solutions, and advanced analytics pipelines.
Data warehouse development
Development covers everything from integrating diverse data sources to engineering efficient ETL/ELT pipelines and implementing advanced data models. From provisioning infrastructure to orchestrating data flows, our teams manage the complete implementation process. The result of data warehouse development services is an environment that delivers accurate, timely insights and meets the strictest security and governance requirements.
Data warehouse cloud migration
We execute secure, low-risk migrations from legacy or on-premises environments to leading cloud platforms, including AWS, Azure, and Google Cloud. Our approach minimizes downtime, optimizes cost structures, and unlocks native cloud capabilities such as serverless processing, advanced analytics, and AI/ML integration.
Data warehouse modernization
We modernize outdated or underperforming warehouses into agile, cloud-native, or hybrid platforms that meet today’s analytical demands. Modernization efforts focus on eliminating performance bottlenecks, reducing operating costs, strengthening security controls, and enabling real-time analytics.
Data warehouse support
Our support services ensure your data warehouse continues to operate at peak performance long after go-live. We provide proactive monitoring, issue resolution, integration of new data sources, and ongoing optimization to adapt to business needs. Clients also benefit from regular enhancements that extend platform capabilities and maintain compliance with changing regulations.
Your data warehouse journey with N-iX
We follow a structured, end-to-end approach to data warehouse consulting services. Our role is guiding you through each stage with a proven strategy to minimize disruption.
Strategic alignment and discovery
We start by understanding your objectives, current data landscape, and challenges. This step includes:
- Engaging with stakeholders to clarify business priorities and success metrics
- Reviewing existing systems, reports, and analytics workflows
- Assessing scalability, security, and compliance requirements
- Identifying risks and defining a mitigation framework
Solution architecture and planning
Based on the discovery stage, we design the target data warehouse architecture and transformation roadmap. This step covers:
- Selecting the most appropriate deployment model (cloud, on-premises, or hybrid)
- Recommending technology stack options
- Designing conceptual and logical data models
- Outlining the ETL/ELT architecture and governance approach
Development and integration
Our data warehouse consultancy specialists implement the agreed design, ensuring seamless integration with your ecosystem. Key activities include:
- Building physical database structures and schemas
- Integrating all relevant data sources
- Developing automated ETL/ELT processes
- Loading and validating historical data
- Implementing data quality checks and security controls
Testing, launch, and enablement
Before going live, we validate performance, quality, and compliance. As one of the leading data warehouse consulting companies, we also prepare your team for smooth adoption through:
- Functional, performance, and security testing
- User acceptance testing with real business scenarios
- Training sessions and workshops for technical and business users
- Delivering documentation and governance guidelines
Ongoing optimization and support
Once in production, we help you sustain and expand the value of your data warehouse:
- Proactive monitoring and performance tuning
- Integrating new data sources and analytics tools
- Managing storage and processing costs
- Applying enhancements from the long-term roadmap
- Maintaining governance and compliance standards
Our enabling services for data warehouse development
Beyond core data warehouse consultancy, design, implementation, and optimization, N-iX provides a range of complementary services that strengthen, accelerate, and extend the value of your data investments. These services ensure that the data warehouse is not an isolated project but part of a broader, integrated data ecosystem.
Development of enterprise-level data and analytics strategies, maturity assessments, and transformation roadmaps to align technology initiatives with measurable business outcomes.
Upgrading legacy platforms or re-platforming to modern, scalable environments, including cloud and hybrid, to improve performance, reduce costs, and support advanced analytics capabilities.
Design and deployment of reliable data pipelines and architectures to enable accurate, timely, and secure data delivery for analytics, AI, and operational systems.
Designing and implementing data lakes and lakehouse architectures to manage structured, semi-structured, and unstructured data, integrated seamlessly with the data warehouse.
Deployment and customization of BI tools such as Power BI, Tableau, Qlik, and Looker, enabling business users to access and interpret insights directly.
Building large-scale Big Data processing solutions using distributed computing frameworks like Apache Spark and Hadoop to handle high-volume and high-velocity data workloads.
Design of governance frameworks and compliance processes to safeguard data accuracy, regulatory alignment, secure access, and controlled usage across the enterprise.
Embedding predictive analytics, Machine Learning and AI pipelines into the data warehouse environment to support strategic and operational decision-making.
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Data literacy programs
Structured training, workshops, and enablement programs to build internal skills in analytics interpretation, BI tool use, governance practices, and self-service data access.
Rostyslav Fedynyshyn
Rostyslav Fedynyshyn
Technologies we work with
Cloud providers
AWS Partner
Azure
Google Cloud
Data warehouse solutions
SQL Server
Azure Synapse
Redshift
Google BigQuery
Postgres
Snowflake
DuckDB
Teradata
SAP IQ
ClickHouse
Apache Druid
Apache Pinot
Oracle
What makes N-iX a trusted data warehouse service provider?
successful data projects, extensive experience delivering enterprise-grade data solutions
dedicated data experts, who cover the entire data warehouse lifecycle
cloud specialists, strong proficiency in AWS, Google Cloud, and Microsoft Azure
in software engineering
acknowledged as a “Rising Star in Data Engineering” by ISG
with strict adherence to GDPR, HIPAA, PCI DSS, ISO 9001:2015, and ISO 27001:2013.
FAQ
The time required to implement a data warehouse depends on its scope, complexity, and the state of the current data systems. Small to mid-scale projects may take several months, while large, enterprise-level deployments can require 6–12 months or more, including design, development, testing, and deployment phases.
An organization is ready for a data warehouse when multiple disconnected data sources, growing data volumes, or inconsistent reporting slow down decision-making. A centralized warehouse becomes essential if analysts spend more time preparing data than using it, or if leadership cannot get timely, accurate insights. At N-iX, we start with a readiness assessment to confirm whether the investment will deliver measurable value.
ROI depends on aligning the warehouse with business objectives. Benefits often include reduced manual reporting costs, faster decision cycles, improved operational efficiency, and the ability to uncover new revenue opportunities. We design projects to produce tangible results, with many clients seeing measurable gains within the first year of operation.
The choice depends on scalability, compliance, budget, and IT resources. Cloud warehouses offer faster scaling and lower upfront costs, while on-premises solutions may be necessary for strict data residency or compliance requirements. We can also implement hybrid models that balance both.
Delays can lead to rising maintenance costs, slow performance, poor integration with modern analytics tools, and increased compliance risks. Outdated warehouses may also prevent AI, Machine Learning, and real-time analytics adoption. Data warehouse consultants help enterprises modernize incrementally to minimize these risks while keeping operations stable.
More about our Data Engineering, AI, and Computer Vision expertise
Data Engineering & Analytics
AI, ML & GenAI
Computer Vision & NLP
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