Modern data warehouses for teams that need answers, not noise
If you own revenue, operations, or product, you do not just need "a data lake". You need a warehouse that can handle messy reality: multiple systems, incomplete data, and stakeholders who want numbers they can trust.
BYBOWU is a Phoenix-based development and data engineering team working with clients across the US and worldwide. As a focused part of our Data Engineering & BI services, our data warehouse modernization work turns slow, fragile reporting setups into fast, predictable platforms that support real decisions every day.
Common problems we fix
Most companies come to us after hitting one or more of these walls:
- Reports take hours to run, and numbers differ between tools, so no one fully trusts the data.
- The warehouse is tied to on-premise databases or outdated ETL jobs that constantly break.
- Adding a new data source, KPI, or dashboard requires weeks of engineering time.
- Analysts spend most of their day cleaning CSVs instead of exploring insights.
- Costs in your current cloud or BI stack are rising, but business value is flat.
- There is no clear ownership or documentation, so everyone is afraid to change anything.
Our job is to give you a clean, well-documented warehouse where data flows reliably, queries are fast, and your team can self-serve safely.
How we modernize your data warehouse
We treat modernization as a product project, not just an infrastructure upgrade. That means focusing first on the decisions you need to make, then on schemas, tools, and pipelines.
- Discovery and use cases. We map your current data sources, BI tools, and key reports. Together we define the decisions that matter (forecasting, cohort analysis, CAC vs LTV, supply planning) and the minimum set of datasets needed to support them.
- Architecture and stack plan. Based on your constraints, we design a target architecture. That might mean modern cloud warehousing, a clearer ELT approach, or better modeling on top of what you already have. We focus on performance, governance, and realistic operating costs.
- Incremental migration. We do not "big bang" your warehouse. We rebuild priority datasets and reports first, run them in parallel with legacy setups, and only cut over once accuracy and performance are proven.
- Modeling and documentation. We standardize business definitions, build reusable models, and document them so analysts and engineers speak the same language.
- Enablement and handover. We train your team on how to query, extend, and safely change the warehouse. If you want a long-term partner, our Support & Maintenance services cover monitoring and small improvements.
What you get as concrete deliverables
Every engagement ends with assets and systems your team can rely on, not just a slide deck.
- Documented target data architecture and migration plan.
- Rebuilt or refactored data models for your core domains such as sales, marketing, product, inventory, or finance.
- Automated data pipelines from key source systems into your warehouse, often together with our ETL & Data Pipelines services.
- Optimized schemas and indexing or partitioning strategies to speed up common queries.
- Core dashboards and reports that replace your legacy spreadsheets or fragile BI workbooks.
- Data catalog, business glossary, and runbooks for operations, so the system is maintainable in a year, not just at launch.
What you can order
- Data Warehouse Assessment — A focused review of your current warehouse, pipelines, and BI stack, including a risk map, performance findings, and a practical modernization roadmap you can act on with us or your internal team.
- Priority Domain Modernization — Modernization of one high-impact domain (for example, revenue, marketing, or product analytics), with new models, pipelines, and a set of dashboards that your stakeholders can use within weeks.
- Full Warehouse Replatform — End-to-end redesign and migration of your legacy warehouse to a modern architecture, including parallel runs, validation, performance tuning, and documentation.
- Self-Service Analytics Enablement — Refinement of your existing warehouse plus modeling and governance changes so analysts and business users can safely build their own reports without constant developer support.
- Ongoing Data Operations — A monthly retainer where BYBOWU acts as your external data engineering team, handling pipeline reliability, schema evolution, and new data sources as your business grows.
How engagement works with BYBOWU
Your calendar is already full, so we keep the collaboration structured and predictable.
- 1. Intro call. We talk through your current stack, key reports, and pain points. If there is a clear fit, we propose a short discovery scope.
- 2. Discovery and proposal. In a compact discovery phase, we review your schemas, data flows, and BI usage. You then get a phased proposal with options, timelines, and budget ranges. You can also see typical ranges on our Prices page.
- 3. Build and migration. We work in short, visible iterations, modernizing priority datasets and reports first. You see progress frequently and can validate numbers as we go.
- 4. Cutover and stabilization. We plan cutovers carefully, run old and new setups in parallel when needed, and monitor load, query performance, and data quality.
- 5. Iterate or hand over. You can keep BYBOWU as your go-to data engineering partner or take over with your internal team. We make both options clean.
If you prefer in-person sessions and are near Phoenix, AZ, we can run architecture and modeling workshops on-site. Otherwise, everything runs smoothly over video and async channels for US and international teams.
Why choose BYBOWU for data warehouse modernization
- Business-first, not tool-first. We start with your revenue, operations, and product questions, then choose architecture and tools to support them, not the other way around.
- Engineering and analytics under one roof. BYBOWU already designs and builds web and product systems, which means we understand your source data and can fix issues at the application or integration level when needed.
- Incremental, low-drama rollouts. We favor parallel runs, feature flags, and staged migrations so you do not face surprise outages or month-long reporting gaps.
- Clear communication from senior people. You work with a small, senior team that can talk in plain language about data quality, modeling trade-offs, and cost implications.
- Long-term reliability. Our DevOps & Cloud Engineering and QA & Testing services help keep your warehouse fast, monitored, and predictable as usage grows.
Proof it works in the real world
Marketplace operations visibility
For a modern clothing marketplace, we unified product, order, and marketing data into a consistent warehouse layer. This made it possible to track category performance, returns, and repeat purchases in one place instead of multiple exports.
Wholesale and dropshipping reporting
A B2B dropshipping platform needed better insight into supplier reliability and reseller margins. We helped design data models and reporting that tied operational metrics to revenue outcomes, informing inventory and partner decisions.
Real estate and matching analytics
In a housemate-matching product, we structured event and profile data so the team could analyze funnel drop-offs and match quality, which guided changes to onboarding and recommendation logic.
Questions founders usually ask
What budgets do you typically work with?
It depends on scope. A focused assessment or single-domain modernization is at the lower end, while full warehouse replatforms sit higher. If you share your constraints, we can usually shape a phase 1 that makes sense. You can also review typical ranges on our Prices page.
Will we have downtime or broken reports during migration?
We aim to avoid it. Our default approach is to run old and new pipelines and reports in parallel, validate results, then cut over with clear change windows and rollback options. For business-critical reports, we schedule changes around your key cycles such as month-end close.
Can you work with our existing BI and cloud stack?
In many cases, yes. We can modernize your modeling, pipelines, and governance on top of your current tools, or plan a gradual transition to a new stack if that is the better long-term option. We focus on what your team can realistically maintain.
How long does a data warehouse modernization take?
A targeted assessment with quick wins can take 2–4 weeks. Modernizing a single high-impact domain often takes 4–8 weeks. Full replatforms and large multi-domain programs can run 3–6 months depending on complexity and the number of data sources.
Who owns the code and infrastructure after the project?
You do. We set things up in environments you control, document everything, and train your team. If you want BYBOWU to stay involved, we can agree on a clear support and improvement plan, but you are never locked into us from a technical standpoint.
Can you help connect the warehouse to our apps and tools?
Yes. Our Integrations & API Development services cover connecting your warehouse to CRMs, marketing platforms, billing systems, or internal apps, so data flows in and out cleanly.
Talk through your data warehouse plans
If you already know what is broken, we can usually outline a modernization plan, rough budget, and timeline within one business day.
If you are still figuring out the problem, we are happy to review your current data stack and suggest practical next steps and quick wins.
Contact us for a data warehouse review or explore our broader Data Engineering & BI services.
