Ask your data anything. Trust the answer.
We help 8-figure e-commerce brands give the whole company one trusted set of numbers. The CEO and the finance, operations, marketing and sales teams can all ask ad hoc questions without waiting days for an analyst.
Already using AI for reporting? Start with an AI Answer Check.
LazyAnalyst is an e-commerce analytics consultancy led by Corinna Zennig:
ex-Deloitte, 10 years in business and 35+ projects delivered.
When your numbers don’t agree
Does this sound familiar?
- Shopify, Meta and Google each report a different revenue number.
- Your AI assistant answers in seconds, and nobody is sure it’s right.
- A simple question from the CEO takes the team days.
- The CMO can’t defend the budget with numbers everyone accepts.
- Finance needs profit by product or channel, and it takes a fire drill.
- Operations plans inventory around revenue, when margin tells another story.
What changes when your numbers agree
Save time
Answers in seconds instead of days. Nobody logs into a dozen tools to copy numbers into a spreadsheet, and your analysts spend their time on what the numbers mean.
Save money
Hours spent copying and reconciling numbers go back to work that moves the business, and ad budgets follow one set of numbers instead of each platform’s own report. The tools we choose fit your budget and run in your own environment, so you keep ownership.
Report confidently
Automated pipelines and quality checks replace copy-pasting and manual entry, so the number you present holds up when someone checks it.
Why isn’t connecting AI to your tools enough?
An AI assistant can only be as right as the data and the definitions underneath it, so that’s where our work starts.
One e-commerce brand asked its AI assistant a simple question: how many active customers do we have? The answer was nearly double the real number. The assistant was reading an outdated copy of the data, with duplicated subscription rows and cancelled customers counted as active.
Read why AI gets e-commerce numbers wrong, and how to fix it
Your reporting journey
Four steps from scattered tools to answers you can trust, in your dashboards and in your AI.
Step one: Collect
Grab all your data
We get your data out of Shopify, Klaviyo, Google Ads, Meta and your other tools and into one place, every day, with its history. And we’re not talking about CSV downloads.
Without it, your AI only sees what someone exported.
Step two: Clean, define, teach
Build your dashboards and your AI
We clean the data so every customer and order counts once, agree one definition for every metric with the people who own it, then build your dashboards and teach your AI those same definitions.
Skip this and one question gets two numbers, or a confident wrong answer.
Step three: Ask
Put it on autopilot
Every morning your dashboards show updated data from all your platforms in one place. Anyone on your team can ask the AI a question in plain English and see how fresh the data behind the answer is. Less work, more insights.
Until then, every question waits for an analyst.
Step four: Prove
Impress customers, clients and bosses
Before anyone relies on it, we test the setup on your own questions. Then you can use your numbers to ask for more budget or show your results, and know they’ll hold up.
Without the test, nobody knows whether to trust the answers.
Results from our Trusted AI Analytics build
Example results from the AI side of the journey, from our latest build (with Claude):
8
AI implementation risks found. The client’s CTO knew of one at the start.
11 of 11
flagged retention questions were answered wrong before the build.
93%
42 of 45 graded test questions answered correctly after the build, on a separate test set. Anthropic reports about 95% for its own analytics with Claude.
What clients say
Health & wellness subscription brand
From scratch to AI answers
Since 2024 we’ve built the brand’s data pipeline from scratch and upgraded its stack twice as the business grew. Today we’re building its Trusted AI Analytics.
“The new insights we have are quite eye-opening for all of us.”
CMO, health & wellness subscription brand
Fashion e-commerce brand
Shopify reporting, done better
We moved the brand’s Shopify data into Domo and built the reports Shopify’s own screens couldn’t produce, with sales numbers that match Shopify’s.
“100% the best choice on probably the entire internet for Domo work.”
CFO, fashion e-commerce brand
DaaS company
Make it a Ferrari
It started with a lean setup that helped the company onboard its first 20 clients. When outside developers left the pipelines unstable, the CEO asked us to rebuild everything: “make it a Ferrari.”
“She saved us hundreds of dollars by coming up with creative solutions for issues that could have taken us many hours to solve.”
Director of Implementation, DaaS company
Now our CEO doesn’t have to wait days for answers anymore.
COO, major US tour operator
Best Chief Data Officer I have ever had. I transferred her services to another one of my companies.
CEO, healthcare DaaS company
Sets a new industry standard… Combining efficiency, meticulous detail, and brilliant data design.
CEO, event sales firm
How do we start?
Every engagement starts with a free call, and you can stop after any step.
1
Free strategy call
60 minutes on your goals, your setup and the questions you can’t answer today. You leave with clear next steps, and we pick your starting point together.
2
Pick the step that fits
- Tracking Audit, from $2.5k
Is your data coming in right? - AI Answer Check, $5k
Are the answers coming out right? - Business Intelligence Roadmap, $5k
What should we build, with which tools? - Proof of Concept, from $5k
Can we get the report we need?
3
Build it in phases
We build with or without Trusted AI Analytics, and only what your business needs and will use: one business area at a time, never every data source for every possible report. Every phase has a fixed price. At the end of each one, we check whether the new reports are used and bring a return, and you decide whether to build the next.
See every way to work with us, including ongoing maintenance and a fractional Chief Data Officer.
What you can count on
Available
We start new projects within 2 to 4 weeks as soon as the paperwork is done and we have all required access.
Reliable
We believe in deadlines and deliver 100% on time. We are there when you need us.
Contactable
Meetings can be booked any time in our calendar or arranged on the spot via Slack. Slack and email get an answer within 24 hours.
100% Job Success
Upwork is the marketplace where companies hire independent contractors and agencies. Our Job Success Score there, built from client feedback over 10 years, is 100%.
Top 1% on Upwork
We are Expert-Vetted, the badge Upwork gives the top 1% of contractors and agencies on its platform.
Ex-Deloitte
Before founding LazyAnalyst, Corinna spent 4 years in Deloitte’s data analytics team in Germany and the UK.
Meet your data whisperers
Corinna
Founder & CEO
Automation Queen
Abhishek
Chief Developer
Data Plumber
Melanie
Senior Data Engineer
Data Architect
Subham
Senior Data Engineer
Looker Master
Parvej
Senior Developer
Governance Master
Diana
Data Scientist
Power BI Powerhouse
Jai
Operation Manager
Process Fairy
Mindy
Executive Assistant
Admin Master
Not ready for a call yet?
Our Insights articles explain what each way of working with your data can report: the reports built into your tools, what changes when you extract the data into a database, and the new reports you can build by combining data from several places.
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Why Google Analytics shows fewer conversions than Google Ads
Google Analytics and Google Ads rarely agree. For one brand, analytics showed up to 60% fewer paid conversions. Here is why, and what to check first.
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Why AI gets your e-commerce numbers wrong, and how to fix it
Connecting AI to Shopify or HubSpot takes minutes. Trusting its answers takes more. Five reasons AI gets e-commerce numbers wrong, and how to fix them.
Find out which of your numbers you can trust
Book a free 60-minute data strategy call. You’ll leave with clear next steps for your data; whether you end up working with us or not.