Fix Design Failures & Cut 6 Months From Your Timeline in 90 DaysYour data warehouse project has been running for 18 months. You've invested over £1.2 million in technology, consultants, and internal resources. Your executive team asks for updates every week, and you're running out of ways to explain why there's still nothing to show.The monthly bills keep coming. The project team keeps meeting. The timelines keep slipping.Meanwhile, your business stakeholders are making critical decisions without the data insights they were promised two years ago.
If this sounds familiar, this audit is for you.The Real Problem Isn't What You Think
Most stalled data warehouse projects fail for the same reason, and it's rarely the technology.Your team can install Snowflake, set up Azure Data Factory, and configure dbt. The tools work fine.The failure happens earlier, in a place most consultants never look: your requirements and design.Poor governance leads to unclear requirements. Unclear requirements lead to flawed data models. Flawed data models create cascading technical problems that no amount of engineering can fix.You can't build the right warehouse when you don't know what "right" looks like.This is where 60-70% of enterprise data warehouse failures occur. Not in the code. Not in the cloud platform. In the fundamental design decisions that should have been validated months ago.The Foundation Audit
Over the past decade working with enterprise data warehouses, I've identified three pillars where projects succeed or fail:
Governance - The foundation of decision-making, standards, and change management that guides your project
Design - The structure of your requirements, architecture, and data models that determines what you're building
Engineering - The execution of implementation, code quality, and technical delivery that brings the design to lifeWhen I audit a stalled project, I examine all three pillars systematically. This comprehensive view reveals not just what's broken, but why it broke and what to fix first.Most projects have overlapping issues across all three areas. The key is knowing which fixes deliver the highest impact fastest.In my experience, design problems deliver the greatest return when fixed first. Governance issues often manifest as design failures - bad requirements, misaligned stakeholders, unclear success criteria. Engineering problems are usually symptoms of upstream design decisions made without proper validation.Fix the design, and the engineering problems often resolve themselves. Fix governance, and future design decisions improve. This prioritization turns 18 months of struggle into 12 months of delivery.What Happens in 90 Days
The Data Warehouse Project Audit is a three-month diagnostic engagement that identifies exactly what's blocking your project and delivers a concrete roadmap to completion.
Month 1: Discovery & Foundation Audit
Your project has a history. I need to understand it before I can fix it.
I'll interview your technical teams, business stakeholders, and executive sponsors to understand what was promised, what was built, and where the disconnect occurred. I'll review your existing architecture, data models, ETL processes, and technology stack decisions. I'll assess your governance structures and decision-making patterns.
This isn't a surface-level review. I'm looking for the root causes - the early decisions that cascaded into today's problems. The requirements that were ambiguous. The stakeholder alignment that never happened. The architectural choices made under time pressure without proper validation.
By the end of Month 1, I'll know which pillar of The Foundation Audit is creating your biggest bottleneck.
Month 2: Analysis & Solution Design
With a clear diagnosis, I'll develop your solution architecture.
I'll conduct a gap analysis showing what's salvageable versus what needs rebuilding. I'll provide architecture recommendations with alternatives evaluated against your specific constraints. I'll assess risks and create mitigation strategies. I'll analyze timeline and resource requirements for each recommendation.
The deliverable isn't a theoretical framework. It's a practical set of decisions: keep this, rebuild that, sequence these changes this way, allocate resources here first.
Design problems get prioritized because they unlock the most value fastest. Governance recommendations focus on preventing future design failures. Engineering guidance addresses technical debt that's blocking progress.
Month 3: Roadmap Delivery & Knowledge Transfer
Month 3 transforms analysis into action.
You'll receive a detailed implementation roadmap with phases, milestones, and success criteria. I'll present findings and recommendations to your executive stakeholders, translating technical decisions into business impact. Your internal teams will receive comprehensive documentation they can execute without my ongoing involvement.
The roadmap shows you how to cut 6 months from your remaining timeline by focusing effort where it matters most. You'll know which design decisions to reverse, which governance structures to implement, and which engineering work to prioritize.
This isn't a roadmap that requires my presence to execute. Your team will have everything needed to move forward independently.
Why This Saves 6 Months
Your stalled project is burning £100,000 per month. That's internal team salaries, external consultants, cloud infrastructure costs, and software licenses for a system that isn't delivering value.
Every month you continue without clarity costs £100,000. Six months costs £600,000.
The Foundation Audit identifies what's blocking you and provides the roadmap to unstick it. When you know exactly what to fix and in what order, your team stops working on low-impact activities and focuses on what actually moves the project forward.
Design fixes typically cut timeline by 40-50% because they prevent rework. When you build the right data models the first time, you don't spend months rebuilding them. When requirements are clear, engineering execution accelerates.
Governance improvements prevent future delays. Engineering optimizations remove technical bottlenecks.
The combination cuts 6 months from your timeline. That's £600,000 in avoided costs, plus getting to business value half a year sooner.
Proof This Works
I recently worked with a FTSE 100 financial services company whose data warehouse was operational but underperforming. Through diagnostic work similar to The Foundation Audit, I identified that governance failures had created flawed data models.
The fix reduced their overnight processing time by over 2 hours and decreased their Snowflake warehouse costs by £30,000 per month.
That engagement focused on operational improvement for a live system. The Data Warehouse Project Audit takes the same diagnostic expertise and applies it specifically to stalled projects - identifying what's blocking progress before you waste another 6 months and £600,000 discovering it yourself.
Investment
Your 90-day engagement is £60,000 plus VAT.
This represents roughly 10% of the £600,000 in costs you'll avoid by following the roadmap.
Payment is structured as £20,000 plus VAT per month for three months, in advance, aligned with the monthly deliverables:Month 1: Discovery & Foundation Audit complete
Month 2: Analysis & Solution Design delivered
Month 3: Implementation Roadmap & Knowledge Transfer finalizedYou're not paying for ongoing implementation support or hands-on engineering work. This is pure strategic consulting - diagnosis, analysis, and roadmap delivery that your internal team can execute.
Capacity Limitation
The Foundation Audit requires deep engagement with your technical teams and stakeholders. To maintain quality and give each client proper attention, I limit this work to 2-3 concurrent engagements per quarter.
If you're reading this now and recognize your project in this description, the question isn't whether to audit. The question is whether to audit now or waste another £100,000 next month discovering the same problems I'll identify in week two.
Guarantee
If you engage for The Data Warehouse Project Audit and after the first two weeks realize this isn't the right fit, let me know. I'll refund your first month's payment.
No explanation required. No questions asked.
I only want to work with organizations where I can deliver meaningful impact. If we're not aligned after the initial discovery phase, we should part ways professionally.
What Happens Next
The enrollment process is straightforward:
Step 1: Email me at [email protected] with "Data Warehouse Project Audit" in the subject line. Include a brief description of your current situation - how long your project has been running, approximate budget spent, and what you believe is blocking progress.
Step 2: We'll schedule a 30-minute call to confirm this engagement fits your situation. I'll ask specific questions about your project status, stakeholder dynamics, and technical architecture to ensure I can deliver value.
Step 3: If we're aligned, I'll send engagement paperwork and we'll schedule your Month 1 kickoff within two weeks.
The current quarter has capacity for 2 remaining engagements.In Summary
The Problem: Your data warehouse project is stalled at 18+ months, burning £100K monthly with no clear path to completion
The Solution: The Foundation Audit - a systematic diagnostic across Governance, Design, and Engineering that identifies root causes and prioritizes fixes
The Outcome: A concrete 90-day roadmap that cuts 6 months from your timeline, saving £600K in avoided costs
The Investment: £60,000 (£20,000 monthly for 3 months)
The Commitment: Pure consulting - diagnosis and roadmap only. Your team executes independently.
The Guarantee: Full refund of Month 1 if you're not satisfied within the first two weeks.
Your project doesn't need more technology. It needs clarity about what's actually broken and how to fix it.
That's what The Data Warehouse Project Audit delivers.