Every report tells a different story — and you're making real decisions on guesses.
Rawzor's Data & BI practice builds the layer underneath: clean pipelines, a single source of truth, dashboards your leadership actually opens, and forecasting you can take into a board meeting. Delivered by associates under Sachin Garg's Head-of-Data oversight — we don't rent you developers.
A small, honest first step: a clear picture of your data layer and reporting before you commit to anything bigger.
Does this sound familiar?
The board asked one question and three people gave three different numbers.
We call ourselves data-driven, but it's a spreadsheet someone updates by hand on Fridays.
We bought a BI tool six months ago and it's still sitting half-configured.
We want to use AI on our data — but there's no one here to build or maintain it.
The planning cycle is coming and the numbers aren't clean.
If you nodded at any of these: it isn't a dashboard problem, and another tool won't fix it. What's missing is the layer underneath — clean pipelines, one source of truth, and someone accountable for the numbers. That's buildable.
The pattern we see over and over: the data problem usually isn't the data — it's that nobody owns the outcome. And leadership has to believe the numbers before they'll act on them, which is why we build for trust first, dashboards second. Turning chaos into clarity — that's the actual job.
Is this right for you?
This tends to be the right fit when
- Your reports never agree and you've stopped trusting the numbers.
- You're running on spreadsheets and have no one to build proper reporting.
- You have a BI tool — Metabase, Looker, Power BI, Tableau — but it's not telling you anything useful.
- You want forecasting and AI-driven analysis, but no data team to build or maintain it.
- You're heading into a board cycle and the numbers aren't clean.
- You want a single source of truth — not another vendor's dashboard on top of messy data.
Probably not a fit when
- You want to rent data engineers by the hour. That's the one thing we don't do — we build the data layer and hand it back.
- You just want one more dashboard on top of data nobody trusts — wrong answers in a nicer format isn't something we'll sell you.
What we build and run
The layer underneath the dashboards — delivered, not advised.
Data pipelines and a single source of truth
Clean ETL and a unified data layer — no more arguing about which number is right.
One number everyone trusts
KPI dashboards and reporting automation
The ones leadership actually opens — not the ones someone built once and forgot.
Reporting that gets used
Forecasting
Revenue, demand, operational — grounded in your real numbers.
Board-meeting ready
AI-driven analysis
LLM-assisted reporting, trend and anomaly detection, decision support — on top of a clean data layer.
Build-vs-buy on the BI stack
So you don't over-engineer, or lock into the wrong tool.
Sachin Garg provides Head-of-Data oversight and stays accountable for the outcome. Rawzor associates deliver day to day — pipelines, dashboards, forecasting, milestone-tied. When a gap becomes permanent, we help you hire the person who fills it — on your payroll, as your people. You own the team and the data; Rawzor owns leadership, process, and outcome — we don't rent you developers.
Three outcomes that happened
Ad spend cut by roughly 45%
A revived heritage travel brand was optimizing campaigns on guesses — every source reported a different number. We built closed-loop UTM/GTM/GA4 attribution with KPI dashboards on top. Once leadership could see which campaigns actually produced revenue, they cut the ones that didn't. The number that made it happen was trust.
Stalled 9 months → shipped in 2
A US tech company had spent nine months trying to build a background data-sync engine. We recruited the right specialists, took over the architecture, and delivered — resumable sync with failure tracking, stale-sync protection, and a full activity audit trail — in two months. Sometimes the data problem isn't the data; it's that nobody owns the outcome.
Dashboards leadership actually uses
Most dashboards get built once and abandoned — technically correct, practically useless. We build for the person who has to walk into a board meeting with the slide: the right KPIs, the right granularity, and reporting that explains itself.
All clients anonymized; details shared in conversation where appropriate.
A small, honest first step: a clear picture of your data layer and reporting before you commit to anything bigger.
Book a Data & BI Audit →How we work — build the layer, hand it back
Four phases, always the same shape. The last one is us stepping back.
- 1
Discovery & Assessment
The Data & BI Audit
We audit the current data layer — sources, pipelines, and tools — and map the gaps. You get a clear picture of what's broken and what to fix first.
- 2
Quick Wins & Foundation
Clean the most important pipeline, establish the single source of truth, and get one dashboard into production that leadership trusts.
- 3
Scale & Optimize
Build out forecasting, AI-driven analysis, and the full reporting layer. Right-size the BI stack.
- 4
Transition & Hand-off
Document everything and train the team. When a gap becomes permanent, we help hire the person who fills it — and step back to oversight.
The whole model in one line: you own the team and the data; Rawzor owns leadership, process, and outcome — we don't rent you developers.
We bill only for the time we work — never a flat monthly block of hours.
Book a short call. We'll talk through where your reporting stands and whether the Data & BI Audit is the right first step — no pitch, no pressure.
Book a Data & BI Audit →Start with the audit. On purpose.
Data & BI Audit
Fixed scope, fixed price
A clear deliverable: a prioritized diagnosis of your data layer and reporting, and a fix plan you own outright. A small, honest first step.
Book itData & BI delivery
$4–8K/mo retainer
Rawzor continues to own delivery and reporting health under Sachin's Head-of-Data oversight. Scoped, fixed-fee projects run $8–25K.
Every engagement starts with the audit. If your team can run the fix plan on its own, that's a perfectly good outcome. We sell outcomes, not hours — never a per-developer hourly rate.
Fair questions
How is this different from your Data & AI practice?
Data & AI leads with shipping AI features into your product. Data & BI leads with running the business on trustworthy reporting — dashboards, forecasting, and AI-driven analysis on top of your data. Same bench, different front door.
Isn't this just a dashboard tool?
Tools don't fix untrusted data. A dashboard on top of messy pipelines just gives you wrong answers in a nicer format. We build the layer underneath so the dashboard is right.
We don't have a data team — can you still help?
That's most of our clients. We don't assume you have a team. We help you figure out what you need, build it under Rawzor's oversight, and — when you're ready — help you hire the person who runs it permanently.
How do we know the work will actually get done?
Every engagement has milestone-tied delivery. We bill only for the time we work. And Sachin's oversight means there's always a named senior person accountable for the outcome — not a project manager passing messages to an offshore team you've never met.
Find out why your numbers don't agree — and what it takes to fix them
Book a short call. We'll talk through where your reporting stands and whether the Data & BI Audit is the right first step — no pitch, no pressure.
Email works best right now — write a couple of lines about where things stand and you’ll get a real reply from a real person, usually within a day.