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Data Warehouse Consulting Services

Build a reliable single source of truth for finance, sales, operations, and executive reporting — without replacing your existing ERP, CRM, or spreadsheets.

Combines diverse data sources, creating a unified source of truth.

Combines diverse data sources, creating a unified source of truth.

Structured and accessible data supports faster, data-driven insights.

Structured and accessible data supports faster, data-driven insights.

ETL processes filter, clean, and validate data, ensuring high-quality information.

ETL processes filter, clean, and validate data, ensuring high-quality information.

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Get FREE DWH PROJECT ESTIMATION

to evaluate data sources readiness

8+

Years
Experience

70+

Clients Served

22+

Industries Served

87+

Data Warehouses Delivered

10

Week's Average Delivery

$25K+

Projects SFrom

$25K+

Projects
From

PROBLEMS WE SOLVE

From Data Challenges to Business Clarity

We build data warehouse solutions that turn disconnected, unreliable data into trusted insights for faster decision-making and sustainable growth.

THE CHALLENGE

WHAT WE BUILD

Better data. Smarter decisions. Stronger business.

A well-designed data warehouse brings clarity and control, helping you grow with confidence.

Cobit Solutions

OUR DATA WAREHOUSE CONSULTING SERVICES

CONSULTING SERVICE

Cloud Data Warehouse Consulting

Azure, Snowflake, BigQuery, AWS

Our data warehouse consultants help you choose the right cloud data warehouse platform and design an architecture that fits your business goals, budget, and growth plans.

What We Do

Assess & Analyze

We evaluate your data, source systems and business requirements.

Design & Plan

We design the optimal architecture and migration roadmap.

Prepare for Migration

We plan data movement, security and integrations with minimal risk.

Business Value

We help you achieve faster insights, lower costs and scalability.

Platforms we cover

Azure

Synapse Analytics

Snowflake

Cloud Data Platform

BigQuery

Serverless Analytics

AWS

Redshift Analytics

MANAGED SERVICES

Data Warehousing and Report Development Services

We build reliable data warehouses, create reports and dashboards, and help organizations work with data from ERP, CRM, finance, and operational systems. Our cloud data warehouse consulting services help align architecture, reporting, and future growth requirements within a single analytical environment.

Our Services

Data Warehousing

We design and build structured, scalable and high-performance data warehouses.

ETL / ELT Development

We automate data extraction, transformation and loading with reliable and efficient pipelines.

Report Development

We create accurate reports and KPI dashboards that turn data into clear insights.

Data Quality & Governance

We ensure data accuracy, consistency and trusted metrics across the organization.

What You Gain

Faster insights

Better decisions

Lower costs

Scalable growth

Case Study: Global Cloud Data Warehouse for Manufacturing & Distribution

Steelite International

An international manufacturer selling in 145 countries worked with fragmented data across 8 ERP systems and lacked a unified view of sales, inventory, and financial performance.

To address this, we introduced a centralized analytics system. It brought data together, aligned key metrics, and established consistent reporting across the company.

92% reduction in reporting preparation time

Transition from manual preparation to automated report generation—from 10 days to daily updates.

65% expansion of analytical coverage

Transition from local reporting to global coverage spanning the U.S., the U.K., Canada, Europe, and Australia.

99% data accuracy in BI reports

Reconciliation of metrics with financial statements and elimination of discrepancies.

4× faster decision-making

Centralized analytics enabled a shift from monthly to regular management decisions.

Read the full case study and hear from the company’s CFO and CIO.

OUR INTERACTION PROCESS

A data warehouse project typically includes several stages. It starts with consulting and architectural planning. Then the platform
is developed and configured. After that comes data migration from existing systems. Once everything is launched, ongoing
support helps maintain stability and performance.

1
Requirement Analysis and Strategy Development

We'll start by learning about your business. What are your goals? What are your main challenges? This is necessary to develop a data warehouse architecture that meets your goals.

2
Architecture Design and Platform Selection

Next, we design the architecture and recommend the best platform for your needs. This can be on-premises, cloud, or a hybrid solution.

3
Technology Selection

Once the design is finalized, we implement the data warehouse and integrate it with your existing systems. This step ensures a smooth transition and minimal disruption.

4
Implementation and Deployment

With everything in place, we implement the data warehouse solution, ensuring all components are fully functional and that the system integrates seamlessly with your workflows.

5
Testing and Performance Optimization

Before going live, we thoroughly test the system to identify and address any issues. We also optimize for performance, ensuring the data warehouse operates with speed, reliability, and scalability.

6
Training, Documentation, and Ongoing Support

Once launched, we train your team to use the new system confidently. We also provide detailed documentation and ongoing support to ensure your data warehouse continues to meet your evolving needs.

Technologies Behind Modern Data Warehouses

Scalable warehouse environments require stable processing, coordinated integrations, and structured analytical workflows. Cobit Solutions works with cloud platforms, orchestration frameworks, database systems, and ETL technologies used in enterprise analytics projects. Our technology stack includes:

Need a centralized warehouse environment for reporting and analytics? Cobit Solutions develops scalable infrastructures for automated processing, synchronized integrations, and enterprise data operations.

Microsoft SQL Server Logo
Microsoft Azure Logo
Apache Airflow Logo
Microsoft Azure, Amazon S3
Snowflake Logo
Microsoft SQL Server Logo
Microsoft Azure, Amazon S3
Microsoft Azure Logo
Apache Airflow Logo
Snowflake Logo

Are you planning a data warehouse project?

Typical Data Warehouse Projects, Timelines, and Budgets

Data warehouse projects differ by data volume, number of sources, integration logic, reporting needs, and future scalability requirements. If you’re evaluating a new data warehouse initiative, the examples below can help you estimate typical timelines and investment levels based on project complexity.

Project Type

Typical Timeline

Typical Budget

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Typical Timeline

Typical Budget

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Typical Timeline

Typical Budget

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Typical Timeline

Typical Budget

Why Choose Us as Your Data Warehouse Consulting Company

Our speciality at Cobit Solutions is providing scalable, effective, customised data warehouse development services fit for your particular corporate objectives. Our solutions are meant to simplify your data management and position you for long-term success whether your company is tiny and trying to grow or managing a big company in need of operational simplification.

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Quick start and first results in just 1 week

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25+ BI and Finance experts without hiring pain

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Proven BI delivery for 8 years in 22 industries

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More than 70 happy clients across 5 countries

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Save 35% compared to W-2 payroll or contractors

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Full end-to-end delivery, from reporting to support

Need control, predictability, and decisions you can trust? Order data consulting and create an analytical system that will support your enterprise's planning, risk management, and financial stability.

Project Risk Reduction

Lower Risk. Better Visibility. More Control.

Data warehouse projects involve critical business data. Our process helps reduce implementation risks, improve transparency, and keep stakeholders informed at every stage.

NDA Before Discovery

Protect sensitive business information.

Architecture Review First

Reduce risks before implementation begins.

Data Validation Checks

Verify data accuracy throughout every stage.

Transparent Delivery

Clear rates, roles, timelines, and responsibilities.

Full Asset Ownership

Keep control of source code, data, and documentation.

Microsoft & Azure Skills

Built on proven Microsoft technologies.

Cloud or On-Premises

Built on proven Microsoft technologies.

Key Benefits of Our Data Warehouse Consulting Services

Let’s explore how data warehouse services help businesses work with data more effectively and how our methodical approach ensures successful project delivery.

Your time and the time of your employees are worth money, right? According to IDC, employees spend up to 30% of their workweek searching for data. This time could be used more effectively for strategy and analysis. By setting up a data warehouse, you can access the information you need in just a few clicks, regardless of its source: from marketing platforms, ERP or CRM. Data warehouse systems allow you to use the same accurate and up-to-date information in your business in operations, finance and sales. And this is a good way to improve teamwork and make faster decisions throughout your company.

As a business grows, data becomes more complex. What might have been stored in a few tables quickly becomes dozens of platforms that are difficult to manage. Especially when everything is done manually, where errors are inevitable. However, a customized data warehouse grows with the business, scaling to accommodate greater volumes and complexity. Whether it’s launching new products, entering new markets, or implementing modern technologies, the data infrastructure evolves with the business’s needs.

For example, an online store might start with a hundred orders per month and then process thousands. With a data warehouse, a business can track customer behavior, analyze sales, and forecast inventory without fear of system limitations.

As companies grow, reporting often becomes fragmented: finance exports data from ERP, sales works in CRM, operations uses spreadsheets, and executives receive conflicting numbers. A data warehouse solves this problem by creating a proven data layer for reporting, dashboards, planning, and AI initiatives.

At first glance, creating a data warehouse may seem like an expensive step. But over time, it turns into an investment that pays for itself many times over. Process automation removes routine, saves hours of work and money, and duplicates and errors are a thing of the past. A well-thought-out storage architecture does not require constant expensive updates – the system scales itself, adapting to new challenges. This solution works not only “here and now”: it creates a foundation for future development.

Launching new products, entering other markets or integrating modern technologies occurs without stress for the infrastructure. As a result, the business receives a stable and flexible system that supports growth, reduces overhead costs and opens up space for strategic decisions.

Without a rigorous structure, data might become disconnected, out-of-date, or even false. Actually, based on a Forbes survey, just 27% of company executives say their data is accurate. Here is when a well-designed data warehouse becomes really useful. Data centralising provides consistency, improves access, and helps the ground be ready for data-driven decision-making.

Real-time analytics allow you to act faster than others — to react to events before they turn into problems or losses. Those who see data instantly get more than just information, they get a strategic edge: the ability to adjust prices, manage inventory, or make decisions before competitors have time to react. For example, retailers see hourly sales and immediately adjust prices or replenish inventory to avoid losing demand. In medicine, doctors track patient indicators in real time, improving the quality of treatment and the level of care.

A well-designed data warehouse opens up access to live dashboards, where numbers are transformed into ready-made prompts for action. Thanks to such an infrastructure, you get more than just data, but confidence in decisions: fast, accurate, and relevant in any industry.

No matter your starting point, we offer end-to-end services to guide you through every stage of your data warehouse journey.

Testimonials for Our Data Warehouse Consulting

Cobit Solutions Cobit Solutions

LEAVE A REVIEW FOR OUR Data Warehouse Consulting Services

4.8
Average rating
Based on 27 reviews

    FAQs

    Customized solutions are created specifically for your business. They are easily integrated into your processes and work for your goals from day one. Off-the-shelf options are ready-made products for everyone. To make them really work for you, you will have to spend time and money on reworking.

    The timeline depends on the complexity of your project, but most implementations take between 3 to 6 months. We work efficiently without compromising quality.

    Our pricing is transparent and competitive. Here’s a general breakdown:

    • BI Developer: $40/hour
    • Project Manager BI: $50/hour
    • System Administrator: $50/hour
    • Developer SSIS/SSAS: $60/hour

    Any business that works with large amounts of data can benefit, especially when reporting becomes slow or teams rely on different numbers. This often includes retail companies, financial services firms, healthcare organizations, and tech companies. A data warehouse helps organize data in one place and makes reporting more consistent.

    After migration, a data warehouse usually works with transactional data, customer information, logs, and other operational records. It can also include content from sources like emails or web platforms if needed for analysis. The final setup depends on how data flows are organized and what the business needs to track.

    There is no fixed price, as much depends on the scope of the work. Also affecting the complexity of the setup and the number of systems to be connected. The choice of tools also matters. For example, Snowflake or BigQuery, custom ETL pipelines, or connections to multiple systems can increase the cost.