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Data Warehouse Consulting Services

It’s hard to approve a warehouse modernization while your team still disagrees on the scope and the platform. So before you put money into software licenses or developers, GroupBWT’s data warehouse consulting services help you settle the scope, compare platforms, and map out the work ahead. We’re also a certified engineering partner for AWS, Databricks, and Snowflake.

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100+
software engineers
15+
years industry experience
$1B-$100B
client annual revenue range
Fortune 500
clients served

We are trusted by global market leaders

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When Data Warehouse Consulting Is the Right Starting Point

Data warehousing consulting services are the right first step when one of these four conditions applies:

Conflicting Stakeholder Priorities

Finance must be able to audit what the record showed at a specific point in time. Sales and Marketing need current streams. When nobody governs the definitions across both, executive reports carry conflicting numbers.

Uncertain Modernization Choice

Your business still runs on legacy databases, and nobody’s settled what happens to them next. Should you refactor the existing structures, migrate to the cloud, or build a new cloud lakehouse from scratch? That choice often stays open.

Disconnected Platforms and Sources

You’ve got part of the data in the ERP and the rest spread over the CRM, older databases, and cloud tools, with no model that covers the whole estate. So how’s your team supposed to tell which platforms are real candidates and which it can rule out?

Lack of Priorities, Budget, or Sequence

Leadership already knows the warehouse has to change. Ask for the documented budget allocation, the effort-versus-value priorities, or the delivery sequence, though, and nobody has one yet.

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What the Consulting Engagement Covers

The technical, business, and financial questions are settled through these data warehouse consulting services before you commission the build:

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Assess the Current Estate

Why is performance slow, and why are compute fees so hard to manage? GroupBWT goes through your data sources, operational pipelines, and infrastructure bottlenecks to explain what's behind it.

Map Workload Requirements

Every business unit has its own decisions to make, and they don't all need the answers equally often. GroupBWT maps those needs, analytical refresh cadences, and query patterns.

Find Data and Metric Gaps

Which data is missing for your business goals? GroupBWT compares those goals with the current system to find the gaps before they become technical debt.

Define the Target Direction

The high-level data flow standards GroupBWT defines for the target state separate raw ingestion, validation, and business-facing reporting layers with clear boundaries.

Set Access and Cost Rules

GroupBWT defines the rules for role-based access, compliance standards, and per-team query budgets so your team can govern access and plan cloud spending.
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Our Awards and Partnerships

AWS Partner
Databricks Brickbuilder Partner Network Bronze
Snowflake AI Data Cloud Services Partner Select
G2 Winter 2026 Leader
G2 Fall 2025 High Performer
Clutch 2026 Top Big Data Marketing Company
Clutch 2026 Top B2B Big Data Company
Clutch 2026 Top Power BI & Data Solutions Company
Award from Goodfirms
GroupBWT recognized as TechBehemoths awards 2024 winner in Web Design, UK
GroupBWT recognized as TechBehemoths awards 2024 winner in Branding, UK
GroupBWT received a high rating from TrustRadius in 2020
GroupBWT ranked highest in the software development companies category by SOFTWAREWORLD
ITfirms
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Scope the Warehouse Before You Fund It

For the roadmap brief, describe your sources, current platform, and the reporting challenges it needs to address. Your first scoped roadmap draft comes from a senior GroupBWT data architect within one business day. It includes a platform shortlist and an initial view of the risks.

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What Our Clients Say

Inga B.

What do you like best?

Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.

What do you dislike?

It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.

Catherine I.

What do you like best?

It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.

What do you dislike?

We have no comments on the work performed.

Susan C.

What do you like best?

GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.

What do you dislike?

GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.

Pavlo U

What do you like best?

The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.

What do you dislike?

Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.

Verified User in Computer Software

What do you like best?

GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.

What do you dislike?

Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.

Verified User in Computer Software

What do you like best?

What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.

What do you dislike?

The entire process was easy and fast, so there were no downsides.

Inga B.

What do you like best?

Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.

What do you dislike?

It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.

Catherine I.

What do you like best?

It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.

What do you dislike?

We have no comments on the work performed.

Susan C.

What do you like best?

GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.

What do you dislike?

GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.

Pavlo U

What do you like best?

The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.

What do you dislike?

Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.

Verified User in Computer Software

What do you like best?

GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research.

What do you dislike?

Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.

Verified User in Computer Software

What do you like best?

What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions.

What do you dislike?

The entire process was easy and fast, so there were no downsides.

Which Platform Fits the Work You Need?

Your team may be operating and paying for this platform for years after choosing it. GroupBWT evaluates Snowflake, Google BigQuery, Amazon Redshift, Microsoft Fabric, Azure Synapse, and Databricks as your data warehouse consulting company before you commit to engineering. We make that choice against the work your systems actually do.

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Query Patterns

Your load might be mostly high-concurrency dashboards, or it might lean toward ad-hoc queries or ML pipelines. A candidate platform has to handle that mix. We check that fit.

Volume and Peak Loads

We start with plain questions. Roughly how much data is there, what happens to query load in peak business hours, and how long can a report take before it’s too slow?

Access and Compliance

Your role-based access, masking rules, and compliance requirements work as a filter. A platform that fails them doesn’t make our recommendation.

Skills and Operations

The operators’ skills also affect the choice. Some teams live in SQL. Other teams do their work in Python and Spark, or Power BI. We take the skills of the people running the platform into account in the recommendation.

Ownership Cost (TCO)

Planning and managing the bill requires a cost model that shows how compute and storage are metered. We build that model.

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What to Change First and What Must Wait

The roadmap puts the first work, the waiting dependencies, and responsibility for each risk in one plan:

01

Delivery Phases

GroupBWT doesn’t attempt a high-risk “big bang” cutover. We cut the transition into manageable delivery horizons, so legacy reporting stays stable.

02

Delivery Dependencies

Dependency mapping comes first. Shared metric definitions and security rules follow. Any dashboard or AI initiative waits until both are done.

03

Risk Owners

Who handles cost sprawl, schema drift, or a compliance gap? The register names one person for each risk, so nothing lives only in someone’s meeting notes.

04

Investment Priorities

GroupBWT compares effort with value and puts the reporting capabilities with high impact first.

What You Receive

When the advisory work ends, your leadership team takes away the following documents from GroupBWT:

Assessment Report

A current-state audit, technical debt inventory, and structural vulnerability analysis show leadership what the report found.

Platform Recommendation

A scored evaluation matrix, candidate trade-offs, and multi-year TCO projections support the recommendation your team reviews.

Prioritized Phased Roadmap

Your team sees when to do the work: the roadmap’s timed delivery horizons account for business impact, technical effort, and dependencies.

Risk & Dependency Map

We hand over the structured risk register and dependency graph together, with the assigned mitigation owner listed for each risk, so your team can see which risks and dependencies need attention.

Recorded Architecture Decisions

Architectural choices, evaluated trade-offs, and operating requirements remain documented in the log for your team to consult.

Next-Stage Specifications

Scope parameters, delivery prerequisites, and acceptance requirements define what the next stage covers and what it needs.

Plan Warehouse Decisions Around Industry Constraints

Insurance

Insurance

We start with the policy, claims, billing, and service-reporting needs you have approved, mapping them before recommending a platform. The roadmap records history, lineage, access, and audit requirements so later warehouse design and delivery can follow them.

FAQ

What does data warehouse consulting cost?

The price follows the estate being assessed and the decisions the engagement must resolve. For a mid-market estate, one $5,000-$8,000 fixed-fee phase is usually enough. For a complex estate, enterprise data warehouse consulting may fall in the $10,000-$50,000 range. Your initial brief gives GroupBWT the scope to price; we provide a transparent cost estimate after reviewing it.

How long does consulting take, and how much of our team's time does it need?

The whole engagement, start to finish, usually takes 2 to 4 weeks. We send the first roadmap draft and an architecture sketch one business day after intake. Discovery follows; platform scoring and the final decision framework close out the engagement. Your side of it is usually one senior engineer or IT lead, for 3 to 5 hours a week while discovery runs. In that time they review source systems with us, answer operational questions, and validate business metrics.

Will we own the documents and roadmap?

Yes. Ownership of the target architecture diagrams, platform decision logs, risk registers, and implementation roadmaps passes 100% to you. We store all documentation in your repositories. Because the files sit in your repositories, your own team or another provider can keep working from them without an ongoing support contract or vendor lock-in.

Which fits our workloads: a warehouse or lakehouse?

We’d start by looking at the analytical workload you need to run. Running high-concurrency SQL dashboards and business intelligence reporting? Then a cloud data warehouse often works. If you’re combining large-scale data engineering with advanced machine learning, you can use a data lakehouse instead. Either way, through our end-to-end data warehouse consulting services, we check both models against your actual query patterns and your team’s skills.

Can you assess a legacy system without documentation?

Yes. We map undocumented source systems, extract business logic, and identify redundant reports as part of discovery. From there, GroupBWT builds an inventory of the data flows that are still active, which tells you what data the business still needs in its future system. That inventory goes straight into the platform comparison and the phased roadmap, so the reports nobody uses don’t follow you into the new warehouse.

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