Phase 1: Plan → Data Warehouse Design
Your roadmap is approved. Design provides the implementation-ready architectural blueprint the engineers need to work from.
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.
Data warehousing consulting services are the right first step when one of these four conditions applies:
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.
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.
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?
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.
The technical, business, and financial questions are settled through these data warehouse consulting services before you commission the build:
Once your roadmap and platform choice are signed off, GroupBWT moves the work into three delivery phases:
Your roadmap is approved. Design provides the implementation-ready architectural blueprint the engineers need to work from.
Your design is approved. The implementation stage creates production pipelines, platform configuration, and system deployment from the approved design.
Your build is complete. The testing stage carries out data reconciliation, cutover verification, and source-to-dashboard validation before the completed build is launched.
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.
What Our Clients Say
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.
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.
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.
Related Data Services
Move the operational workflows behind legacy pipelines onto automated, cloud-native data integration tools to modernize them.
Decide who gets access, what counts as good-quality data, and where the compliance guardrails sit around your enterprise assets.
Use planned waves to move warehouse data and reporting workloads to Snowflake, with reconciliation checks and named cutover conditions.
Slow or brittle pipelines can delay the warehouse roadmap. Review their extraction, transformation, and loading workflows.
Got the enterprise data unified? That's the point where interactive dashboards, automated reporting, and executive analytics can sit on top of it.
For growing businesses, data pipelines, storage systems, and analytics infrastructure need engineering. The engineering work covers their architecture and maintenance.
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.
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.
How can we help you?
We’ll review your goals and suggest the right solution — technical, scalable, and tailored to you.
What do you need extracted, structured, or automated?