110 Analytics
Home What we do The Ecosystem Automation Our work About
The Ecosystem

One ecosystem. Built on data you own.

Most companies buy analytics in pieces: a reporting tool here, a connector there, a consultant for three months. The pieces never quite meet. What we build is one connected system, and every layer of it belongs to you.

Your ecosystemHow it fits together
Every system you run, loosely wired to a few others and to nothing else, funnelling into one warehouse in your own environment.
LAYER 01

Your ontology

Before any data moves, we agree what things mean. What counts as an active customer. When revenue is recognised. Which sites belong to which region. This is the layer nobody sells and everybody needs, because a definition that lives in one analyst’s head is a reporting outage waiting to happen.

Once it is written down and modelled, every number downstream inherits it. That is why your dashboards stop disagreeing with each other.

“Active customer” · before and after
Sales: bought in 12 months Finance: invoiced this quarter Support: has an open account
One definition · agreed once
LAYER 02

Your data warehouse

One place your company data flows into, from every system you already run, on a schedule, without anyone exporting anything. Your CRM, your finance system, your operational tools, your advertising platforms, your spreadsheets. Connected, not replaced.

It is built in your environment, under your account, with your credentials. You own it outright. There is no version of this where leaving us costs you your data.

Every system, on a schedule
CRMFinanceOperationsAd platformsSpreadsheets
Warehouseyour account
LAYER 03

Your dashboards

The visible layer, with tiered access so people see what they need and not what they do not. Your leadership team gets the whole business on one screen with forecasting. Each department gets its own numbers at the depth it works at. Automated reports go out on their own and replace the ones somebody used to build by hand.

Tiered access
Leadership Finance Operations Marketing
Each team sees its own numbers, nobody sees everything by accident
LAYER 04

The AI layer

Type a question in plain language and get an answer from the warehouse. Not a chatbot bolted onto a website, and not a general-purpose assistant guessing at your business. It answers from your ontology and your data, which is the only reason the answer can be trusted.

The practical effect is that the person who needs a number stops queuing for the person who knows how to get it.

Ask the warehouse
Which sites are behind on margin this month?
Three of eleven answered from your ontology, not a guess
Same definitions as every dashboard · no new source of truth

What it means on a Monday morning

One screen, the business as it was an hour ago rather than at the end of last month, and when somebody asks why a number moved, the answer takes minutes instead of a week.

08:40MondayEverything already loaded
Systems loaded11 / 11overnight, on schedule
Data as of07:55an hour ago, not month end
Definitions1 per metricagreed once, inherited everywhere
Time to an answerMinutesone place to look
Loads this week · every system, every night
TueWedThuFriSatSunMon
Already doneEvery system loaded overnight. Nobody exported anything.
On one screenThe business as it was an hour ago, with forecasting, not as it was at month end.
Not happeningThe finance lead is not rebuilding the pack. Operations is not waiting on a file.
When asked“Why did that move?” takes minutes, because there is one place to look and one definition to check.
Illustrative screenSame definitions as every dashboard · no new source of truth
Glen SultanaFounder · 110 Analytics

See it built on your own numbers.

Thirty minutes with Glen. You will leave knowing which single view would change the most about how you run, and whether the data for it already exists.

Thirty minutesFreeNo pitch deck
01Where your data is fragmented, and what it is costing you in decisions and reporting hours.
02The one report or view that would change how the business runs, and whether the data for it already exists.
03A straight answer on whether 110 Analytics is the right fit.