Data Warehouse Consulting Services

Leverage the expert guidance of our data warehouse consultant in planning, implementation, migration, and modernization to optimize the performance of DWH.

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Data Warehouse Consulting

Result-Oriented Data Warehouse Consulting Services

As your reliable data warehouse consulting company, we can help you unlock the full potential of data assets from one-off consultation to end-to-end data warehouse solution development. We help companies like yours navigate their Data Warehouse (DWH) journeys, from implementing a scalable data warehouse to upgrading the existing one.

The comprehensive data warehouse services cover all four phases: strategy, design and development, and ongoing support. We have a dedicated multidisciplinary data warehouse consulting team comprises architects, consultants, data quality specialists, BI consultants, and data engineers. The team closely works with you to solve complex challenges related to data quality & master data management and recommends the most suitable warehouse alternatives, like Data Lakehouse, to shape your data strategy.

Our team has sound experience with leading data warehousing tools like Azure Synapse Analytics, Amazon Redshift and Snowflake. We specialize in data modeling & solution architecture development by utilizing multiple relational database management systems (RDBMS) technologies. These include – SQL Server, PostgreSQL, MySQL. We also have experience with NoSQL databases for building DWHs such as MongoDB, DynamoDB, and Cassandra.

Additionally, we have proven expertise in implementing on-premises, multi-cloud & hybrid data warehousing solutions and data warehouse migration. We have served businesses of all shapes and sizes, from start-ups to enterprises across industries including AdTech, Fintech, Healthtech, Retail, and Digital Manufacturing.

Data Warehouse Consulting Services We Offer

Our data warehouse consultants will assist you through every step of your DWH design, implementation, and evolution project to reinvent your business intelligence.

Leverage the expertise of our data warehouse consultant to migrate your legacy and existing DWH to the cloud with minimal downtime and disruption. We will guide you through the potential pitfalls by analyzing your existing DWH setup to identify the right migration strategy and make the transition hassle-free. The team will assist you in developing a migration strategy, selecting the optimal cloud tech stack, integrating the cloud DWH with your existing data environment, and conducting post-migration data audits.

Assessment & planning for evaluating your existing DWH and creating a tailored migration plan
DWH migration approach selection between lift & shift or complete redesign on the new platform
DWH optimization by monitoring data availability, data transformation correctness

Our data warehouse development services start with requirement engineering and business case creation for DWH solution architecture development. We support end-to-end data warehouse implementation from design to build & testing to launch. Our team excels in designing and developing ETL/ELT processes and conceptualizing data models for seamless integration into your IT ecosystem. Further, we work with you to create data integration strategies for multiple sources. It would include internal & third-party sources, new apps, services, and analytical & BI processes. We build your data governance policy by considering your data’s quality, security, availability, backup & recovery framework.

DWH architecture approach by evaluating top-down, bottom-up, hybrid, and federated approaches
DWH deployment by evaluating on-premise, cloud, and hybrid
Data modeling to optimize relational, dimensional, and object-oriented database models
Data integration and ETL services to orchestrate data from multiple sources while ensuring quality and integrity

We are specialized in modernizing your existing DWH by re-architecting both on-premises and cloud data warehouse solutions. We can help resolve potential modeling issues while improving the query’s response time. Further, we help you re-engineer and modernize your ETL processes by building an advanced data lake and migrating your big data to the cloud. The team also supports you with integrated analytics by empowering your AI workloads at scale.

Re-engineering & modernizing the ETL process to streamline enterprise data integration with external systems
Data lake development to handle structured and unstructured data at scale
Big data to Cloud migration to transition analytics, data processing (ETL) & data science workloads from on-premise to cloud

We provide ongoing support to quickly identify and resolve DWH performance issues. Our comprehensive data warehouse testing, L2 – L3 level SLA support, and a ticketing process enables issue analysis and priority mapping. We are well-versed in optimizing solution architecture, database schemas and data loading. The team ensures to maintain data quality & availability while minimizing downtime.

Solution architecture optimization to make queries and updates run faster and maintain optimal performance
DWH tools optimization for tuning query performance for maximum efficiency
DWH design optimization by reducing the number of duplicated data across parallel databases

Data Warehouse Success Stories

Discover how we've empowered enterprises to centralize their data, unlock deeper insights, and make strategic decisions.

DWH Implementation

50% increase in workflow efficiency

Cloud-Based Data Warehouse System

For a US-based hospitality giant to manage disparate data from 20+ sources

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DWH Development

100% visibility into business operations

Re-engineering of Legacy Accounting System

Re-engineered accounting software into a consolidated cloud-native app

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Build a tailored data warehouse that meets business needs & reporting expectations of end-users

Tech Stack

Our Related Offerings

Helping you bring data offerings together onto a single source.

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Data Engineering

As your trusted data engineering company, we help you build AI-infused data platforms to strengthen your data and analytics initiatives.

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Data Modernization

Break free from outdated systems with modern architectures, automated pipelines, and AI-powered insights—so your data works for you, not against you.

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Big Data Services

Transforming large data sets into valuable insights through AI/ML, data science, business intelligence, and data visualization to maximize the true potential of your data assets.

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Your Preferred Data Warehouse Consulting Services Provider

We build custom data warehouse solutions and can assist you with your migration and modernization requirements. A dedicated team of data analysts, AI, and DWH specialists collaborates with you to tackle your unique data challenges, providing secure and scalable solutions that simplify complexity. The specialized cloud data warehouse consulting helps you leverage the benefits of Azure & AWS platforms.

Cloud Specialists

Our data warehouse consultants are well-versed in cloud-based tools such as Snowflake, Redshift, Databricks, BigQuery, EMR, Dataproc, Cloud Composer, Synapse Analytics, Azure Data Factory, etc.

Multidisciplinary Data Warehousing Team

Leverage the expertise of our cloud data warehouse consulting team to bring diverse expertise in DWH modeling, data management, data governance, and BI consulting. which helps us address the complex challenges of data warehousing to the table.

Full Suite of DWH Services

With an agile project delivery and development methodology, our comprehensive services include data profiling, standardization, acquisition, transformation, and more.

Compliance Certification

We are an ISO 9001 & ISO/IEC 27001 certified company committed to delivering top-quality data warehousing consulting services that help you meet industry-specific requirements and & data solutions. We adhere to the highest standards of quality and security management, ensuring top-tier protection and reliability.

Streamline, Leverage, and Grow with Data Warehouse Capabilities

Explore our resource hub for curated blogs and case studies to unearth valuable business insights to support your BI and AI initiatives.

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Data Warehouse Modernization: Achieve Data Intelligence for Improved Decision-making

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Enterprise Data Warehouse: Types, Benefits, Features, Cost Considerations

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Data Warehouse Implementation: Plan, Components, Guidelines & More

FAQ

How can my business benefit from a data warehouse?

A data warehouse can benefit your business in several ways:

Informed Decision Making: Integrate data from various sources to gain a comprehensive view of your business and drive data-driven decisions.
Improved Efficiency: Eliminate data silos, streamline reporting and analysis, and reduce time spent on data gathering and reconciliation.
Enhanced Business Intelligence: Enable advanced analytics, empower users with self-service BI tools, and gain deeper insights into customers, products, and operations.
Competitive Advantage: Quickly adapt to market changes, identify new opportunities, and make faster, more informed decisions than competitors.
Scalability and Performance: Support growing data volumes and complex queries with a scalable architecture optimized for analytics.

As a data warehouse company, we can help you leverage the benefits of a data warehouse. You might also be interested in reading the steps, approaches & use cases of data warehouse development.

How can I benefit from your data warehouse consulting services?

We have skilled & experienced data warehouse consultants who will discuss & understand your business needs & expectations. They include data architects, administrators, profilers, ETL developers, & BI consultants.

Our services will include the following:

A preliminary assessment of your existing IT infrastructure, including applications, architectural design & technologies
An initial analysis of all your data sources, data quality, data structures, data types, design types & data permissions
An outline of high-level system requirements
A broad scope for your data warehouse, including the desired features, technology integrations, upgrades, migration, etc.
Recommendations on the most appropriate platform for your DWH, tech stack, design & approach
Presentation of project scope, budget & timelines

Which data warehouse deployment options do you provide?

As a proficient data warehouse service provider, we provide three deployment options:

On-premises- Any technology platform
Cloud- On Microsoft Azure & Amazon Web Services (AWS) Cloud platforms
Hybrid- A combination of both on-premises & cloud platforms

What is the implementation process of data warehousing?

The typical process follows a structured, multi-phase approach:

Planning & Design:

Engage stakeholders to define business requirements, KPIs, and data sources
Design a scalable architecture and create logical and physical data models
Develop a project roadmap with scope, timeline, and resources

Development & Testing:

Design and develop efficient ETL processes to integrate data from various sources
Implement the data warehouse infrastructure with optimized data structures and performance
Develop intuitive BI interfaces, reports, and dashboards for users
Conduct thorough testing for data accuracy, performance, and user acceptance

Deployment & Maintenance:

Deploy the data warehouse to the production environment
Implement backup, recovery, and ongoing maintenance processes
Monitor performance, gather user feedback, and continuously optimize the solution
Provide user training and transition to ongoing support

The process emphasizes collaboration, iterative development, and a focus on delivering business value through a well-architected and quality-assured data warehouse solution.

What are the three types of data warehouses?

The three main types of data warehouses are:

Enterprise Data Warehouse (EDW):

Centralized repository that integrates data from across an entire organization
Provides a single version of truth for enterprise-wide reporting and analytics
Typically follows a normalized schema design optimized for data integrity

Data Mart:

Subset of a data warehouse focused on a specific business function or department
Designed to meet the specific analytical needs of a particular user group
Often follows a dimensional model optimized for query performance

Operational Data Store (ODS):

Stores real-time, operational data from transactional systems
Provides a consolidated view of current data for operational reporting and analysis
Typically retains a limited history and is updated frequently

Each type serves a different purpose – the EDW is the central source of enterprise data, data marts for specific analytical needs, and the ODS for real-time operational reporting. Modern data warehousing often combines these types in a layered architecture to meet diverse business requirements.

Is Data Warehouse consulting suitable for companies of all sizes?

Data Warehouse consulting benefits organizations of all sizes. While enterprises require complex data architectures, small and medium businesses can leverage scalable DWH solutions to drive data-informed decisions and growth. Our flexible approach adapts to your business size, data volume, and analytical needs.

Data Warehouse Consulting Services

Result-Oriented Data Warehouse Consulting Services

Data Warehouse Consulting Services We Offer

Data Warehouse Success Stories

Build a tailored data warehouse that meets business needs & reporting expectations of end-users

Tech Stack

Our Related Offerings

Business Intelligence

Data Engineering

Data Modernization

Big Data Services

Your Preferred Data Warehouse Consulting Services Provider

Streamline, Leverage, and Grow with Data Warehouse Capabilities

FAQ

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