Data Warehouse Consulting
Start here if business priorities, platform options, or the roadmap haven’t been settled. We’d sort those out in consulting first. Detailed architecture and modeling then follow the direction agreed there.
Data Warehouse Design Services
GroupBWT works backward from your reports. We read what each report has to show before we touch the architecture, the data models, or the integration rules. So we plan how your sources consolidate. Each metric gets pinned to a single meaning, and we leave headroom for analytical growth. Nobody builds a new database, or restructures the one you already run, until our data warehouse design services have all of that agreed.
100+
software engineers
15+
years industry experience
$1B-$100B
client annual revenue range
Fortune 500
clients served
We are trusted by global market leaders
Our Awards and Partnerships
What Our Data Warehouse Design Solutions Cover
Some teams come to GroupBWT with no warehouse yet. Others already run one that has stopped matching their reporting requirements or source systems, so we revise it. What you get from our DWH design services, in both cases, is the architecture plus the engineering specifications we’ve agreed together. Pipelines, deployment, and migration come after that, under a separate implementation scope.
01/06
01/06
Our Services
GroupBWT provides data warehouse systems design and implementation solutions through separately scoped services. Consulting settles the direction before design; build and testing follow once the architecture is agreed.
Data Warehouse Services
Once the architecture is set, this is where the warehouse gets built, integrated, and deployed. Want one delivery partner for both stages? Just ask, and we’ll take on data warehouse (DWH) development and design services together.
Data Warehouse Testing
Check the implemented warehouse through reconciliation, regression, and reporting validation. This verifies running data flows and outputs beyond the checks possible on a proposed design.
Ask an Architect Where Your Warehouse Design Should Start
You know what the warehouse has to support, and where your current structure keeps getting in the way. Share that with GroupBWT. One of our architects will then mark where design should begin and which requirements call for a deeper technical review. There’s no need to arrive with a finished architecture brief.
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Why Choose GroupBWT for Warehouse Design
Our published work includes both warehouse delivery and architecture assignments completed before migration. The delivery project is proof of integration and governance we actually implemented. The architecture work is narrower, showing how we sort out an existing warehouse’s structure before any development begins.
Warehouse Design Carried Into Delivery
GroupBWT designed a warehouse for a pharmaceutical company and then implemented it, connecting seven pipelines and mapping 22 source schemas along the way. Our team also put lineage and shared analytical structures in place, so reporting could draw on systems that had previously been disconnected.
Existing Warehouse Mapped for Modernization
An agricultural producer was running an existing SQL Server warehouse, and GroupBWT mapped 18 sources and designed a Databricks architecture for it. What we completed was the assessment and design, not the migration. It settled the proposed structure before implementation.
Reporting Dependencies Included in Design
In that same modernization assignment, GroupBWT reviewed the client’s Power BI reporting estate and grouped reports by shared data model. That work informed the proposed transition, so the architecture accounted for reporting dependencies rather than treating storage changes in isolation.
Our Cases
What Our Clients Say
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
How We Turn Reporting Needs into a Warehouse Design
GroupBWT works out the design with the people who know your source systems, reporting definitions, and security requirements best. We agree the scope and review criteria before detailed modeling. Your team validates business meaning; our architects and engineers specify how the warehouse should represent it.
01/03
01/03
Related Data Services for Your Next Step
These services cover the pipeline, platform, governance, and reporting work around a warehouse. Some come before design, some after, and none is bundled into the design project.
ETL Development
Here the pipelines that extract, transform, and load your source records get built, following the mappings agreed in design. Pipeline development turns the integration design into working data flows.
ETL Migration
Already running a warehouse that's moving to a new platform? Existing pipelines and data move across here, with parallel runs and reconciliation checks during the cutover.
Data Governance
Some governance responsibilities and controls reach beyond the warehouse project. Go here first if organizational policies or data ownership still have to be settled.
Business Intelligence
Need the dashboards and reports themselves? BI work translates agreed measures into the views teams use for analysis and decisions.
Data Lake Development
Raw files and high-volume data that don't fit modeled warehouse tables can land in a data lake instead. This service covers its ingestion, architecture, and governance.
Data Engineering
Sometimes the warehouse is one part of a wider platform rebuild. Data engineering covers the infrastructure around it, from ingestion to reliable, compliant data delivery.
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FAQ
What do you hand over at the end?
It depends on the scope we agree. The package can mix architecture diagrams, logical and physical models, source mappings, and access or quality specifications. You decide with us how deep each one goes, before the work begins. You also get the assumptions and decisions that will matter when someone builds it. None of it replaces engineering work. It just makes the build clearer for your engineers.
Can the design change if our platform stays?
Yes. The parts that need revising get our DWH design solutions, and the rest of your warehouse stays as it is. How much? That’s for after we’ve seen your models, source dependencies, and reporting requirements. Certain issues can be fixed inside your current platform. Others won’t go away without a broader change to the architecture. The review tells you which is which, so nobody assumes a full rebuild from day one.
Can our own engineers implement the design?
They can. The agreed design is what they’d build against. Our part is writing the specifications they’ll need. We also pull them into technical reviews, because that’s where platform constraints come up early. Any support during development is agreed separately. Buying the design doesn’t commit you to a full implementation project.
How do you estimate a design project?
First, your sources. A few similar sources make for a lighter lift than lots of systems that all disagree. Modeling is the next thing we size up, along with what your historical data has to support. Security boundaries and validation depth weigh in too. If documentation exists and your source specialists can answer questions quickly, there’s less work to do. Our estimate comes once we’ve looked at those inputs and pinned down the scope. A limited model revision and a new multi-source architecture should not carry the same assumed schedule.
Can you also handle implementation?
We can. Implementation gets its own scope, agreed separately after design. Once you’ve got the architecture and the rules, design’s done. Pipeline building counts as implementation in our book, and so do environment setup and warehouse deployment. Then come testing and operational support, which have separate responsibilities and acceptance criteria. We spell each stage out up front. That way nobody mistakes a design estimate for what a complete production system will cost or how long it will take.
You have an idea?
We handle all the rest.
How can we help you?
