“I need all my data combined together and not fragmented.”
“I don't have data dashboards, or automated reports.”
“I need help to make my company actually use data.”
“Reporting takes time.”
“I have a lot of data and don't know how to combine it to use it.”
These are the words our clients used before they were clients.
If one of them sounds like your last management meeting, the rest of this page is about what to do next.
The mechanism
How your data becomes a decision
Where you are now
Every team works in its own tool. Nothing connects. Reporting is rebuilt by hand each month and it is out of date by the time anyone reads it.
The foundation
An ontology, and a data warehouse all your company data flows into automatically. The part almost nobody sells you.
The layer you see
Dashboards, automated reports and an AI layer, with tiered access. Leadership gets the whole business. Each team gets its own numbers.
The point
Decisions made on evidence instead of instinct. The only reason any of this is worth paying for.
Before and after
One version of the truth
Finance_actuals_v3.xlsx
TOTALversion 3
Sales_pipeline_FINAL(2).xlsx
TOTALdiffers
Ops_KPIs_copy.xlsx
TOTALpending
REBUILT BY HAND · EVERY MONTH
Before
Reporting spread across departments, hand-built in spreadsheets every month, every team holding its own version of the numbers.
Margin by departmentFinanceSalesMarketingOperationsSupply chain
Updated 08:40 · nightlyIllustrative figures
After
One live dashboard. One version of the truth. Leadership looking at it daily.
⇆
Illustrative
Drag to compare
Automation
It is 2026. Nobody should be typing numbers into a report.
The highest return in this whole system comes from the least glamorous part: removing every manual step between your systems and your leadership team. Efficiency is not a feature of the ecosystem. It is the reason it exists.
The monthly pack, by handEvery month
Five steps, one person, every month
Someone exports from each system, pastes the files together, reconciles the totals that disagree, rebuilds the charts and emails the pack. By the time it is read, the numbers have moved on.
Every monthFive manual steps · out of date on arrival
The same pack, by the warehouseEvery night
Loaded overnight, agreed once, delivered on its own
Every system loads on a schedule. The definitions were agreed once, so nothing needs reconciling. The dashboard is already current when leadership opens it and the report lands in inboxes by itself.
Every nightNo hands · current when leadership opens it
A call to find the gap, then a proper audit of where your data lives, where the reporting hours go, and which numbers are hiding revenue.
02
Unify
Your fragmented departments combined into one source you can trust. Everything else sits on this.
03
Visualise
Dashboards and automated reports. Live reporting instead of manual spreadsheets.
04
Scale
Maintain, improve, embed the habit, and keep finding the next pocket of margin nobody was looking at.
Implementation runs three to four weeks to a live dashboard. After that it is an ongoing fractional team.
The ecosystem
One project ecosystem. Dashboards, reports and AI, all running off the same warehouse
We build the whole system, not a warehouse on its own. The dashboards, the automated reports and the AI layer that answers questions in plain language all read from one source you own, each with tiered access.
Live
Dashboards
Executive view for leadership, team views for each department. Same numbers, different depth.
Scheduled
Automated reports
The monthly pack builds itself and lands in inboxes. Nobody rebuilds a spreadsheet.
Plain language
AI layer
Ask a question the way you would ask a person. The answer comes from your warehouse, not the internet.
Illustrative. These three panels are drawn to show the shape of each layer. Your dashboards are built to your own metrics and your own definitions.
Track record
Who this has been done for
Where the standard was set
Our people have run analytics for tier-one companies, S&P 500 firms and high-growth technology businesses, in environments where
real money moves on real-time numbers and a slow or wrong report costs immediately. 110 Analytics brings that standard to any business that needs it and does not want to build the department.
The standard does not change with the size of the company. A startup with no data team yet, a growing business with data in ten systems and no single version of the truth, an established group with a reporting pack somebody rebuilds by hand: the same four layers, sized to the problem. We can cater to any company size.
Tier-one companies
S&P 500 firms
High-growth technology
Startups
Any company size
Objections
Straight answers to the four things everyone asks
“It's too expensive.”
A fractional senior team costs a fraction of hiring the function in-house, and you get people who have already done this at the top level. You are not paying for a full-time hire that you then have to manage.
“Aren't you IT? Will you build me software?”
No, we are not IT, and we do not replace the systems you already run. What we can build is the ecosystem software that sits on top of them: the warehouse, the dashboards, the automated reports and the AI layer. If you want to see what that looks like finished, open the demo ecosystem.
“Do you take control of my data?”
You own your data start to finish. The warehouse is built in your environment, under your account. No lock-in, no ownership grab. If we parted company tomorrow, it would keep running.
“We already have someone doing reports.”
Then they are spending days a month on work a warehouse does on a schedule. We give them the foundation, and their time back for the analysis you actually hired them for.
Glen SultanaFounder · 110 Analytics
Thirty minutes. Free. No pitch deck.
You are booking a call with Glen, not a salesperson. You will leave it with three things.
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.
What we do
The full spectrum, not just the pretty part
110 Analytics is a fractional senior data team. We combine data scattered across your tools into one warehouse you own, build the dashboards and automated reporting on top, then stay on until your leadership team is actually making decisions on it, without you hiring and managing an in-house function.
The full spectrumLive
Three things we sell
Sold separately, strongest together
Each one is weaker on its own: analytics without strategy measures the wrong things beautifully, and strategy without analytics is an opinion.
Data & Analytics
The ontology, the warehouse, the pipelines, the dashboards and the automated reporting. This is the engine, and most of the work sits here.
One warehouse, in your environment
Tiered dashboards
Reports that send themselves
Strategy
Advice on which numbers belong on the screen in the first place, and on the decisions they are meant to change. A dashboard full of the wrong metrics is worse than no dashboard, because it looks like progress.
Which metrics actually matter
What decision each one drives
What to stop measuring
Marketing & Communications
Communications and stakeholder work built on the same numbers, so what you tell the market and what your reporting says are the same story.
Positioning off real figures
Stakeholder and board material
One version of the story
An ontology, a warehouse, and the reporting that sits on them
The ontologyEvery entity in your business, from customer and revenue to product, spend and employee, named once and related to the others consistently. It sounds academic and it is the reason your reporting stops breaking. Without it, two departments define “active customer” differently and every number becomes arguable.
SalesBought in the last 12 monthsFinanceInvoiced this quarterSupportHas an open account
Active customerOne definition, agreed once, inherited by every dashboard and every reportcustomer · revenue · product · spend · employee
The warehouseOne place all your company data flows into, on a schedule, automatically. It is built in your environment, under your account. If we parted company tomorrow it would keep running and it would still be yours.
The reporting layerDashboards with tiered access: the whole-business view for leadership, their own numbers for each team. Plus automated reports that replace the ones somebody currently rebuilds by hand.
The consultancyThe part where we tell you which metrics are quietly costing you attention, and what to look at instead.
We are not an IT company. We build the ecosystem, not your systems
We work with what you already own. This is the most common misunderstanding in a first call, so it is worth saying plainly: we are not here to replace your systems, we are here to make the data inside them usable. What we do build is the ecosystem software that sits on top of them: the warehouse, the dashboards, the automated reports and the AI layer. The demo ecosystem is what that looks like finished.
Sized to the problem, decided after we have seen it
Most work is delivered directly by our own team. Larger and more complex projects draw on the strong partnerships we have aligned, so there is no size of problem we have to turn away. Which one you need is a conversation, not a price list, and it is one of the things the first call settles.
Our own teamMost engagements
Partner networkScale and complexity
Enterprise and sovereignNational scale
Our own teamA fractional senior data function, delivered directly. This is most of what we do, and most of what an established business needs.
Standard engagement
Our partner networkWhen the scope outgrows a fractional team, larger and more complex engagements draw on the partnerships we have aligned, so you still deal with one team whoever is doing the work.
Scale and complexity
Enterprise and national scaleSovereign AI, data fabric and national-scale requirements are delivered through the same partnerships. Bigger problem, same front door.
Enterprise and sovereign
Glen SultanaFounder · 110 Analytics
Thirty minutes. Free. No pitch deck.
You are booking a call with Glen, not a salesperson. It is the call that settles which parts of the spectrum you actually need.
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.
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 monthsFinance: invoiced this quarterSupport: 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
LeadershipFinanceOperationsMarketing
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 elevenanswered 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.
Automation
It is 2026. Nobody should be typing numbers into a report.
If people in your business still export, paste and rebuild reports by hand, the highest return available to you is not a new dashboard and not more data. It is removing that work. Every manual step between your systems and your leadership team is time paid for twice: once to do it, and again when the decision waits for it.
What manual reporting costs youYour numbers, not ours
50hours a month
6days of work a month
600hours a year
0.3of a full-time role
Arithmetic only: people × minutes × 20 working days. Nothing is assumed about your business. Glen’s own example is five people at thirty minutes a day, which is fifty hours a month returned to the business.
What gets automated
Four jobs that should never be somebody’s morning
These are the steps we take out of human hands in every ecosystem we build. None of them needs judgement. All of them are where the errors come from.
01LoadingEvery system you run loads into the warehouse on a schedule, overnight, on its own. Nobody exports a CSV. Nobody pastes anything. When leadership opens the dashboard at eight, the numbers are already current to yesterday.
02ReconcilingThe definitions are agreed once, when the warehouse is built: what counts as revenue, what a lead is, when a project is late. After that there is nothing to reconcile, because there is only one version of every number.
03DeliveringThe report lands in the right inboxes on the right morning without anyone sending it. The board pack prints itself from the live figures. The person who used to build it reads it instead.
04WatchingFlags are raised by rules, not by someone noticing: a project sitting too long in a stage, a KPI marked behind, an action with no update for sixty days. The system chases the lead; the human decides what to do about it.
Before and after
The same pack, two ways
On the left, the way most businesses still produce their monthly numbers. On the right, the way the warehouse produces them. The output is the same document. The difference is who made it, how long it took, and how old the numbers were when they were read.
The monthly pack, by handEvery month
Five steps, one person, every month
Someone exports from each system, pastes the files together, reconciles the totals that disagree, rebuilds the charts and emails the pack. By the time it is read, the numbers have moved on.
Every monthFive manual steps · out of date on arrival
The same pack, by the warehouseEvery night
Loaded overnight, agreed once, delivered on its own
Every system loads on a schedule. The definitions were agreed once, so nothing needs reconciling. The dashboard is already current when leadership opens it and the report lands in inboxes by itself.
Every nightNo hands · current when leadership opens it
The people who used to build the pack get their time back for the analysis you actually hired them for.
Seen running
Two systems where you can watch it happen
Both are live demonstrations on invented data, built the way we build inside a business. Open either one and change something: the rest of the system moves with it, and nobody had to be told.
Once the loading, reconciling and delivering are automatic, the warehouse can answer questions in plain language, because there is one agreed definition behind every number it returns. Both demonstrations carry this: Ask the portfolio on the projects system, and an assistant on the strategy monitor that can be asked anything and can be instructed to make changes, with one rule that does not bend: you confirm before anything happens.
The AI layer is the last thing we switch on, not the first. It is only as good as the warehouse it reads from, and a warehouse that still depends on somebody’s spreadsheet has nothing reliable to give it.
What we do not automate
Decisions. The system tells you a project has sat 420 days in a stage and which lead to chase. It does not decide whether to chase them. Anything that needs judgement stays with the people paid to exercise it; anything that does not, stops costing them their mornings.
Glen SultanaFounder · 110 Analytics
How many hours is your business paying for twice?
Thirty minutes with Glen, and a straight answer on whether 110 Analytics is the right fit.
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.
Our work
Work we can show you
Most of what we build sits inside businesses that would rather not be named, and we do not name them without written permission. So we built six systems in public instead: live, running daily, open to anyone. You can judge the work by opening it rather than by reading about it.
Social Media ArenaMalta Media Battle · scored daily
The battle over time, drawn here from the arena’s daily figures. Three platforms, three different leaders.
Live demonstrations
Six systems you can open right now
We could not show you a client dashboard, so we built our own in public instead. Six working systems, live on the internet, each one running the same four layers we build inside a business. Every figure on them is measured, and where the data is synthetic the system says so on its own front page.
They are the honest version of a case study: you do not have to take our word for what we build, because you can open it.
Real estate, hospitality, healthcare, iGaming, crypto and insurance are where most of our current work sits. Businesses with a lot of operational data, real money moving daily, and reporting that has not kept up. Data is data: the systems differ from one industry to the next, the problem underneath them does not, so if your business runs on numbers, we are a fit.
Real estateHospitalityHealthcareiGamingCryptoInsuranceRetail and e-commerceLogistics and shippingManufacturingFinancial servicesProfessional services
What we will not show you
We do not publish client names without permission, we do not put invented figures on a slide, and anything on this site that is illustrative rather than real says so on the page. In a market where everyone claims a multiple, the company that refuses to is the one worth checking out.
Glen SultanaFounder · 110 Analytics
Want to see this on your data?
Thirty minutes with Glen, and a straight answer on whether 110 Analytics is the right fit.
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.
About
Analytics at the highest level, for any company size
Our people have run analytics for tier-one companies, S&P 500 firms and high-growth technology businesses, in environments where real money moves on real-time numbers. 110 Analytics exists to bring that standard to established businesses that need it and cannot justify building the department.
Where the standard comes fromMalta
Tier-one companiesReal money moving on real-time numbers
S&P 500 firmsReporting at a scale that cannot be wrong
High-growth technologyGrowth fast enough to break the reporting
same standard, applied down
Any company sizeA fractional senior team, not a department you have to build
The founder
Glen SultanaFounder · 110 Analytics
Glen Sultana founded 110 Analytics after a career built where the numbers move daily. He comes from marketing, and he has always worked in data and analytics, so the two have never been separate jobs to him: the point of a number is the commercial decision it changes. He is openly obsessed with beautiful, actionable dashboards, the kind leadership opens every morning without being asked, and with what happens when a business starts using its data for growth and increased revenue rather than for reporting on last month. That combination of a marketer’s eye and an analyst’s rigour is the strength he brings to every engagement, and the reason a 110 dashboard is built to make money, not just to look right. He is the person on the first call, and the systems on our work page are his own, built in public so nobody has to take the claim on trust.
Marketing
A marketer who always worked in dataThe commercial question came first, the analysis answered it. That order has never changed.
iGaming
A career built where the numbers move dailyYears inside a sector that is regulated, fast, and unforgiving of bad reporting. It is where he learned what good analytics actually looks like under pressure, rather than in a case study.
The pattern
The same problem, everywhere he lookedGood businesses with data in ten systems, no single version of the truth, and nobody whose actual job was to fix it. The software was never the problem; the missing piece was one agreed definition of every number.
Now
Founded 110 AnalyticsA fractional senior data team: the ontology, the warehouse, the dashboards and the strategy on top, built in the client’s own environment and owned by them outright.
“110 works at the intersection of strategy, data, and marketing. We turn complex, fragmented information into clear insight, direction, and action. Everything we do is built around measurement, accountability, and real outcomes.”
Glen SultanaFounder · 110 Analytics
One thing worth saying plainly
Your data stays yours.Start to finish, no lock-in. We make it usable; we do not take custody of it.
Where we work
Based in Malta and working internationally. Distance is not the constraint. The work happens in your systems, wherever they are, and we have delivered for organisations well beyond these islands. Larger and more complex engagements draw on the strong partnerships we have aligned, so neither the size of the problem nor the map is a reason to say no.
Wherever the work is, what we build is a data fabric: one connected layer that reaches into every system you run, wherever it sits, and presents the data as if it lived in one place. Your CRM, your finance system, your operational tools, your spreadsheets and any external source you rely on are stitched together under one set of definitions. The systems stay where they are. The fabric is what makes them behave like one.
Glen SultanaFounder · 110 Analytics
Talk to Glen, not a salesperson.
Thirty minutes, free, and no pitch deck. You will leave it knowing what your fragmented data is costing you today.
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.
Blog
Notes on data, decisions and the gap between them
Short, practical pieces on what goes wrong with company data and what fixes it. Written for the people who run businesses in Malta, not for data teams.
Sales reports one figure for the quarter. Finance reports another. The meeting spends twenty minutes on which one is right, and the answer is that both are. Here is why that keeps happening, and the one thing that stops it.
Glen SultanaSeptember 20266 min read
The number is not the problem. The word is.
Take the word revenue. To a sales director it usually means what was signed this month, because that is what the team is measured on. To finance it means what was invoiced, or what was recognised under the accounting rules, or what was collected, depending on who is asking and why. To the marketing manager it is the value of the deals that came from a campaign, attributed on whatever rule the campaign tool applies.
Every one of those people can pull a report that supports their figure. None of them is wrong. They are answering different questions with the same word, and the systems they use were each set up by a different supplier who defined the word their own way.
The same thing happens to customer (a person, a company, a billing account, or an email address?), to lead (a form fill, a phone call, a qualified conversation?), to margin (before or after the cost of the sales team, the licence fees, the returns?) and to active (logged in this month, paid this month, or simply not cancelled?). Ask three managers to define any of these and you will get three careful, reasonable answers that do not match.
Why the software never fixes it
Most companies respond to the mismatch by buying something: a new reporting tool, a connector between two systems, a bigger licence. It does not help, because the disagreement was never in the software. Every system is faithfully reporting the definition it was given. Connecting two of them just puts two definitions side by side on one screen, where they disagree faster.
Nor does the spreadsheet fix it, although the spreadsheet is where most businesses end up. Somebody in finance exports from each system, adjusts the figures until they reconcile, and produces a pack that everyone accepts because nobody else knows how it was built. When that person is on leave, the number moves. When they leave the company, it disappears.
What actually stops it
Someone has to write the definition down once, in a place every report reads from. Not in a policy document, which nobody opens, but in the layer that sits between the source systems and the dashboards, so that when the board pack says revenue and the sales dashboard says revenue, they are both computing the same thing from the same rows.
In our work that layer is the first thing we build, before any dashboard, and we call it the ontology: a plain list of the business's own terms, each with one agreed definition, each mapped to where the data for it actually lives. It is a conversation as much as a technical job. The sales director and the finance director sit in the same room, argue about what revenue means for an afternoon, and leave with an answer that is written into the system rather than into someone's head.
Once that exists, the argument in the Monday meeting goes away, not because anyone lost it but because there is nothing left to argue about. The interesting conversation, what to do about the number, finally gets the twenty minutes.
Three questions to ask this week
Pick the figure your leadership team looks at most often. Then ask the people who produce it these three questions. First: which system does this come from, and does anything get adjusted by hand on the way? Second: if I asked a different department for the same figure, would I get the same answer? Third: if the person who builds this report were away for a month, who else could produce it?
If any of the three makes the room go quiet, the gap is not in your software. It is in the definitions, and it is fixable in weeks rather than years.
What a data warehouse actually is, and what it is not
The phrase gets used to sell everything from a spreadsheet to a nine-figure IT programme. For a business turning over a few million euros, here is what it means in practice, what it does not mean, and why it is the one part of the system you should insist on owning.
110 AnalyticsSeptember 20267 min read
What it is
A data warehouse is a single place where copies of your business data are collected, cleaned, and stored in a shape that is built for asking questions rather than for running operations. Your accounting system is built to raise invoices. Your CRM is built to manage a pipeline. Your booking or point-of-sale system is built to take orders. None of them is built to answer “which customers who bought in the spring have not been invoiced since, and what did we spend to acquire them?” A warehouse is.
It works by loading data from every system you run on a schedule, usually overnight, keeping the history that the source systems overwrite, and applying one agreed definition to every term so that the same word means the same thing everywhere. The dashboards, the board pack and any question you put to it in plain language all read from that one place.
What it is not
It is not a database. A database is the general-purpose technology underneath; your accounting system already has one. A warehouse is a particular way of organising data for analysis, and it usually lives on a database built for that job.
It is not a dashboard tool. The visualisation software you may already have bought sits on top. Pointed straight at your operational systems, it will show you five versions of every number. Pointed at a warehouse, it shows you one.
It is not your ERP with more storage. An ERP runs the business day to day and is optimised for that. Asking it hard analytical questions slows it down and gives you only its own view of the world, not the CRM's or the marketing platform's.
It is not a data lake, or a fabric, or whatever this year's term is. Those are variations on where and how the raw data is kept. The idea a managing director needs to hold onto is the same: one copy of everything, one definition of every term, built for questions.
It is not a project you finish. Systems change, the business adds a product line, a definition needs revisiting. A warehouse that nobody maintains starts to drift within a year. Budget for it as a running part of the business, not a one-off build.
Why a business of your size needs one at all
Ten years ago the honest answer was that you probably did not. The tools were priced for corporations and needed a team to run them. That has changed. The storage and computing behind a warehouse are now rented by the hour from the major cloud providers, and the loading tools that used to need custom code are largely off the shelf. A company with five or six operational systems and a few million in turnover can have one running in weeks, at a cost that sits comfortably inside a marketing budget line.
The reason to do it is not the technology. It is that the alternative, one person in finance rebuilding the monthly pack from exports, has a cost you are already paying without seeing it on any invoice.
The one thing to insist on
Whoever builds your warehouse, make sure it is in your name. Your cloud account, your credentials, your data. A supplier can build it, run it and be paid to maintain it, but if the engagement ends you should be left with a working system and every byte of your history, not a login that stops working. This is the difference between buying an asset and renting a report, and it is the question to ask before any other.
The monthly pack is costing you more than you think
Somewhere in your business, once a month, a capable person spends days assembling a report from exports. The hours are the part you can see. The rest of the bill arrives in other forms.
Glen SultanaSeptember 20266 min read
Five steps, every month
The pack is built the same way in most companies we meet. Someone exports from each system: the accounts, the CRM, the operations platform, the advertising accounts. They paste the files together. They reconcile the totals that disagree, which they always do, by adjusting until they match. They rebuild the charts. Then they email it, usually a week or more after the month closed.
It is skilled work, done by someone you hired for something else, and it is repeated in full every month because nothing in it is saved except the final file.
The cost you can count
Start with the hours, because they are the easy part. If five people each spend thirty minutes a working day touching a report by hand, that is fifty hours a month, or six working days, or six hundred hours a year. That is not an estimate of your business; it is arithmetic, and you can put your own numbers into it on our Automation page. Most managers who do are surprised, because the time is spread across so many people that nobody sees the total.
The costs you cannot
Errors. A pack built by hand carries the mistakes of the hand that built it. A pasted column that is one row out, a filter left on from last month, a formula that stopped at row 400 when the export grew to 450. These do not announce themselves. They get discovered when a decision made on the wrong figure goes wrong, or they are never discovered at all.
Arguments. When the pack disagrees with a department's own report, the meeting spends its time on which figure is right. That conversation happens because the definitions were never agreed once and written into a system, so every month they are re-agreed by hand.
Lateness. The pack describes a month that ended ten days ago. Anything it reveals, a margin slipping, a channel that stopped converting, a client who quietly stopped ordering, has been happening for six weeks by the time anyone acts. The cost of that delay does not appear anywhere, and it is usually the largest of the four.
Dependence. One person knows how it is built. When they are on leave the pack is late; when they resign, it stops. The business has a single point of failure in the one document its leadership uses to steer.
What the alternative looks like
Every system loads into one warehouse overnight, on its own. The definitions were agreed once, so there is nothing to reconcile. The dashboard is current to yesterday when the managing director opens it at eight, and the pack, if you still want one, prints itself from the same figures. Flags are raised by rules rather than by someone noticing: a project too long in one stage, a KPI marked behind, a customer with no order for sixty days.
The person who used to build the pack gets their days back for the analysis you hired them to do, which is the part of the job a machine cannot do and the part that was being crowded out.
What we do not automate
Decisions. The system tells you which client to call and which project to chase. It does not decide whether to. Anything that needs judgement stays with the people paid to exercise it; anything that does not, stops costing them their mornings.
For the personal data described in this policy, 110 Analytics Ltd is the controller under the General Data Protection Regulation (EU) 2016/679 (“GDPR”) and the Maltese Data Protection Act (Chapter 586 of the Laws of Malta).
We have not appointed a Data Protection Officer. We are not a public authority, our core activities do not consist of large-scale processing of special category data, and we do not carry out large-scale systematic monitoring of individuals. We keep that assessment under review and will appoint a DPO if it changes.
2. What this policy covers
This policy applies to personal data we process when you:
visit 110analytics.io or go.110analytics.io, including any campaign or landing page on those domains;
complete a form, book a call, or otherwise contact us;
interact with our pages on LinkedIn, Facebook or Instagram;
view a publicly accessible dashboard we publish, including the Malta Media Battle dashboard;
receive business communications from us.
What this policy does not cover
Where we deliver services to a client, we process data inside that client’s systems on the client’s instructions. In that work the client is the controller and we act as a processor under a written data processing agreement. The client owns that data, the client’s own privacy notice governs it, and this policy does not apply to it. If you believe your data sits inside a client system we work on, please contact that organisation.
Our websites link to third-party sites we do not control. This policy does not cover them.
3. The personal data we process
What
Where it comes from
Full name
Forms, booking pages, email, phone
Business email address
Forms, booking pages, email
Mobile or telephone number
Forms, booking pages
Company name and, where you tell us, your role
Forms, booking pages, conversation
The content of your enquiry, and notes we make during a call
Forms, email, calls, meetings
Marketing consent, and the date and wording you consented to
Form submission record
We do not ask for special category data and we ask that you do not send it to us. We do not knowingly collect data from anyone under 16.
3.1 Data collected automatically
IP address, approximate location derived from it, device and browser type, operating system, referring page, pages viewed, time on page, clicks and scroll depth, and cookie or similar identifiers. On non-essential collection, see section 6. Nothing beyond what is strictly necessary is collected before you agree to it.
3.2 Data from other sources
Business contact details from public and professional sources, including LinkedIn, company websites and business directories, where we identify an organisation that may be a fit for our services. We use the individual’s name, role, employer and business contact details for business-to-business outreach on the basis of our legitimate interests (section 4). We do not buy consumer marketing lists.
Referrals, where an existing contact passes on your details. We will tell you who referred you if you ask.
Our booking and CRM system, where a booking or form submission generates a record.
4. Why we process it, and our lawful basis
Purpose
Data
Lawful basis
Responding to an enquiry and arranging a call
Identity, contact, enquiry content
Legitimate interests (responding to a request made to us); performance of a contract where one is in place
Running and improving our websites, and keeping them secure
Technical and usage data
Legitimate interests (operating a secure, functioning website)
Analytics and measuring which campaigns work
Usage data, cookie identifiers
Consent (via the cookie banner)
Advertising and measuring advertising
Usage data, cookie and advertising identifiers
Consent (via the cookie banner)
Business-to-business outreach to organisations we believe we can help
Administering a client relationship, and our own accounting and tax records
Identity, contact, contractual and billing data
Performance of a contract; legal obligation
Establishing, exercising or defending legal claims, and handling complaints
Whatever is relevant to the matter
Legitimate interests; legal obligation
Where we rely on legitimate interests we have weighed our interest against your rights and freedoms. Our outreach is limited to business contact details, in a business context, about services relevant to the recipient’s role; every message identifies us and offers a simple way to stop hearing from us. You can object at any time (section 9) and we will stop.
Where we rely on consent, you can withdraw it at any time: use the unsubscribe link in any marketing email, change your cookie choices using the Cookie settings button in section 6 of this policy, or email admin@110analytics.io. Withdrawing consent does not affect processing already carried out.
5. Who we share it with
We do not sell personal data. We share it with the following categories of recipient, each under a written contract that limits them to processing it on our instructions.
Recipient
What they do for us
The Growth Bully (Malta), our marketing agency, acting as our processor
Builds and operates our campaign landing pages, forms and booking calendar, and the CRM those records sit in. HighLevel Inc. (GoHighLevel), its platform provider, acts as its sub-processor.
Framer B.V. (Netherlands)
Hosts 110analytics.io
Netlify, Inc. (United States)
Hosts the Malta Media Battle dashboard
Google Ireland Ltd / Google LLC
Google Workspace (our email and documents), Google Analytics 4 (property G-4TN1G1ZJQ8), Google Tag Manager, Google Ads
Meta Platforms Ireland Ltd
Our Facebook and Instagram pages, and advertising and measurement on those platforms
LinkedIn Ireland Unlimited Company
Our LinkedIn presence, and advertising and measurement on that platform
Squarespace Ireland / Squarespace, Inc.
Domain registration and DNS for 110analytics.io
Our professional advisers: accountants, auditors, lawyers, insurers
Professional services to us, each as controller or processor as applicable
We will also disclose personal data where we are required to by law, by a court, or by a competent authority, and to a buyer or successor if our business is sold or reorganised.
A note on our social media pages. When you interact with our pages on Facebook, Instagram or LinkedIn, the platform gives us aggregated audience statistics (Page Insights or their equivalent). For that statistical processing we and the platform act as joint controllers. We do not receive data identifying individual visitors through it, and we have no control over the platform’s own processing of your account data. That is governed by the platform’s own terms and privacy notice.
6. Cookies and similar technologies
We use three groups of cookies and similar technologies.
Strictly necessary. Needed for the site to work: security, load balancing, remembering your cookie choices. These are set without consent because the site cannot function without them. Examples include our consent-preference cookie, which lasts up to 12 months.
Analytics. Tell us how the site is used so we can improve it. Examples: Google Analytics 4 _ga (up to 24 months) and _ga_<container-id> (up to 24 months).
Advertising. Let us show relevant advertising and measure whether it works. Examples: Google Ads _gcl_au (up to 90 days), the Meta pixel _fbp (up to 90 days), and LinkedIn’s li_sugr and bcookie (up to 12 months).
Nothing in the analytics or advertising groups is set, and no analytics or advertising tag fires, before you accept it. Our cookie banner gives Accept, Reject and Settings equal prominence; rejecting is a single click and carries no penalty. Where Google’s Consent Mode is in use, your choice is passed to Google’s tags and they behave accordingly.
You can change your mind at any time using the button below, and you can block or delete cookies in your browser, though strictly necessary cookies cannot be turned off without affecting how the site works.
7. Transfers outside the EEA
Some of our providers are established outside the European Economic Area, or process data outside it. Where personal data is transferred outside the EEA, we rely on one of the following:
an adequacy decision by the European Commission, including the EU–US Data Privacy Framework where the recipient is certified under it; or
the European Commission’s Standard Contractual Clauses, together with a transfer risk assessment and, where needed, additional technical and organisational safeguards.
To ask which mechanism applies to a specific provider, or for a copy of the safeguards in place, email admin@110analytics.io.
8. How long we keep it
Data
Retention
Enquiries and booking records that do not become a client relationship
24 months from the last contact
Outreach contacts who do not respond
12 months from the last message, then deleted
Marketing consent and unsubscribe records
For as long as we send marketing, plus 5 years, as evidence of consent
Client contract, correspondence and project records
6 years from the end of the engagement
Accounting, invoicing and tax records
10 years, as required by Maltese law
Google Analytics data
14 months
Cookie consent records
12 months, or until you change your choice
Where a longer period is needed for a legal claim, we keep only what is relevant to that claim, for as long as it is live.
9. Your rights
Under the GDPR you have the right to:
be informed about how we use your data, which is this policy;
access the personal data we hold about you, and receive a copy;
have inaccurate data corrected, and incomplete data completed;
have your data erased, where one of the grounds in Article 17 applies;
restrict our processing while a dispute about accuracy or lawfulness is resolved;
receive your data in a portable format, where we process it by automated means on consent or contract;
object to processing based on our legitimate interests, and, with no need to give a reason, to direct marketing, which we will always honour; and
withdraw consent at any time, where consent is the basis.
We do not carry out automated decision-making that produces legal effects for you, and we do not profile individuals in a way that has a significant effect on them.
To exercise any of these rights, email admin@110analytics.io or write to us at the address given in our Terms of Use. We will respond within one month. If your request is complex, or if you have made several, we may extend that by up to two further months and will tell you why. There is no charge unless a request is manifestly unfounded or excessive. We may ask for enough information to confirm your identity before we act.
If you are not satisfied, you can complain to the Maltese supervisory authority:
Information and Data Protection Commissioner (IDPC)
Level 2, Airways House, High Street, Sliema SLM 1549, Malta
+356 2328 7100 · idpc.info@idpc.org.mt · idpc.org.mt
You may also bring a claim before the Maltese courts. We would rather hear from you first, so please give us the chance to put it right.
10. Security
We hold personal data in access-controlled cloud services with encryption in transit, and we limit access to the people who need it for the purpose it was collected for. No system is perfectly secure, and we cannot guarantee the security of data while it travels to us over the internet. If a breach occurs that is likely to result in a risk to your rights, we will notify the IDPC within 72 hours and tell you directly where the law requires it.
11. Changes to this policy
We may update this policy as our processing changes. The version and date at the top always show the current one. Where a change materially affects how we use your data, we will say so on our website and, where we hold your contact details for that purpose, tell you directly.
12. Contact
Questions about this policy, or about how we handle your data:
Version 1.2Effective 7 September 2026110 Analytics Ltd
1. These terms, and what they cover
These terms govern your use of 110analytics.io, go.110analytics.io and any other website or publicly accessible dashboard we operate (together, “our websites”). By using them you accept these terms. If you do not accept them, please do not use our websites.
These are website terms only. They are not the terms on which we deliver services. Any engagement is governed by a separate written agreement, and nothing on our websites forms part of it.
Our websites are operated by:
110 Analytics Ltd · Company registration number C 113879 (Malta)
Registered office: 81, Triq il-Falkunier, Fgura FGR 1934, Malta admin@110analytics.io · +356 7998 0821
2. Changes
We may change these terms, and we may change, suspend or withdraw any part of our websites, at any time. The version and date above show the current terms. Continuing to use our websites after a change means you accept the revised terms.
3. The content on our websites
3.1 Illustrative material
Some material on our websites, including dashboards, charts, screens, figures and worked examples, is illustrative. It is there to show what our work looks like, not to report any client’s actual results. Where material is illustrative it is labelled as such on the page.
We do not publish invented performance figures. Any figure presented as real is real, and we will say where it comes from.
3.2 “Experience across leading organisations”
Where our websites or materials refer to experience across named organisations, this describes the professional career history of members of our team at those organisations. It does not mean that those organisations are clients of 110 Analytics Ltd, that they endorse us, or that they are in any way associated with us. Any names or marks used in that context are used descriptively to identify the organisation, and remain the property of their owners.
3.3 The Malta Media Battle dashboard
The Malta Media Battle dashboard analyses publicly available engagement data from the public social media pages of Maltese media organisations. It is published as commentary and as a demonstration of our analytical approach.
The figures are derived from public data using our own methodology, and are presented as measurements of public engagement, not as an assessment of any organisation’s editorial quality, commercial performance or standing.
Any commentary or interpretation is our opinion, offered in good faith on the data available.
Names and marks of the organisations analysed are used nominatively, to identify who is being measured. No affiliation, sponsorship or endorsement is claimed or implied.
If you represent an organisation featured and believe something is inaccurate, email admin@110analytics.io. We will review it, correct anything we get wrong, and remove your organisation on reasonable request.
3.4 No professional advice
Our websites are for general information. Nothing on them is legal, financial, accounting, tax or other professional advice, and nothing on them should be relied on as a basis for a decision. Take your own advice on your own circumstances.
3.5 Accuracy
We take care over our content but we do not warrant that our websites, or anything on them, are accurate, complete or up to date. Content may be changed or removed without notice.
4. Booking a call
Our websites invite you to book a call with us. That call is free of charge and carries no obligation on either side. Booking one does not create a contract for services and does not commit us to accepting an engagement, and we may decline, reschedule or cancel, and we may end a call early where it is clear we are not the right fit.
When you book, you agree to give accurate details and to let us know if you cannot attend. What we do with the data you submit is set out in our Privacy Policy.
5. Acceptable use
You may use our websites for your own lawful, personal or internal business purposes. You must not:
use them in breach of any applicable law, or for any fraudulent or harmful purpose;
attempt to gain unauthorised access to any part of them, or to any system or network connected to them;
introduce any virus, malware or other harmful code;
scrape, crawl, harvest or systematically extract content or data from them, or use any automated means to access them, except a search engine’s ordinary indexing;
reverse engineer, copy or reproduce any dashboard, tool or interface we publish;
interfere with their operation, or with anyone else’s use of them, including by any denial-of-service or excessive-load activity; or
use them to send unsolicited commercial communications.
We may restrict or withdraw your access if you breach this section, and we will report anything that appears to be a criminal offence to the relevant authorities.
6. Intellectual property
All intellectual property rights in our websites and their content, including text, graphics, layout, design, code, dashboards, methodologies, and the 110 Analytics name and logo, belong to us or to our licensors. Nothing in these terms transfers any of those rights to you.
You may view our websites, and print or download extracts, for your own reference or internal business use, provided you do not alter them and you keep any notices of authorship intact. You may quote or cite our published material with attribution to 110 Analytics Ltd and, where possible, a link to the source page. Any other use, including republication, redistribution, commercial use, or use of our content to build or train a competing product or dataset, requires our written permission.
Third-party names and marks appearing on our websites remain the property of their owners and are used as described in sections 3.2 and 3.3.
7. Links
Where we link to a third-party site, we do so for information. We do not control those sites, we do not endorse them, and we are not responsible for their content, their availability or their handling of your data.
You may link to our home page fairly and lawfully, in a way that does not damage our reputation or suggest an association or endorsement that does not exist. You must not frame our websites on another site or present our content as your own. We may withdraw permission to link at any time.
8. Availability
We do not guarantee that our websites will be available uninterrupted or error-free. We may suspend, withdraw or restrict all or part of them for business or operational reasons, including maintenance, and we will give notice where it is reasonable to do so. You are responsible for your own arrangements for accessing them, including your own device and connection security.
9. Our liability
Nothing in these terms limits or excludes our liability where it cannot lawfully be limited or excluded. In particular, nothing here affects our liability for death or personal injury caused by our negligence, for fraud or fraudulent misrepresentation, or any liability that under Maltese law cannot be excluded, including, where you deal with us as a consumer, your rights under the Consumer Affairs Act (Chapter 378 of the Laws of Malta) and applicable EU consumer protection law. Those rights are not affected by these terms.
Subject to that:
We provide our websites and their content “as is”, and we exclude all warranties, conditions and representations not expressly set out here, to the fullest extent the law allows.
We are not liable for any loss arising from your reliance on our websites’ content, including any decision you take on the basis of it.
Where you use our websites in the course of a business, we are not liable for loss of profit, loss of revenue, loss of business, loss of anticipated savings, loss of or corruption of data, or any indirect or consequential loss, however arising.
Where liability is not otherwise excluded, our total liability in connection with your use of our websites is limited to EUR 500.
We are not liable for any loss caused by a virus or other harmful material you may encounter through our websites, or by a failure of the internet or of any third-party service.
10. Privacy and cookies
How we handle personal data is set out in our Privacy Policy. Our use of cookies is set out in the same document, in section 6, and your choices can be revisited at any time using the button below.
11. Governing law and jurisdiction
These terms, and any dispute or claim arising out of or in connection with them or your use of our websites, are governed by the laws of Malta, and the courts of Malta have exclusive jurisdiction.
If you use our websites as a consumer resident in another EU member state, this does not deprive you of the protection of the mandatory consumer law of your country of residence, or of your right to bring proceedings in the courts of that country where EU law gives you that right.
12. General
If any provision of these terms is found to be unenforceable, the rest continues to apply. Our failure to enforce any provision is not a waiver of it. These terms are between you and us; no one else may enforce them. Together with our Privacy Policy they are the whole of the agreement between us regarding your use of our websites.
Strictly necessary cookies are always on because the site cannot work without them. Nothing in the other two groups is set, and no tag fires, until you choose.
Strictly necessarySecurity, load balancing, and remembering this choice. Always on.
AnalyticsHow the site is used, so we can improve it. Google Analytics 4.
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