Business intelligence

Which channel actually makes you money? If finding out takes a day, that is the problem.

The numbers exist. They are in Shopify, in your accounts, in a marketplace report, in a spreadsheet someone updates on Fridays. By the time you pull them together and trust them, the decision has usually been made without them.

Book a 30-minute review See what it is costing you

Why this matters now

You are running the business on numbers you are not sure you can trust.

Revenue is the easy number. The hard ones are the questions you run the business on. Which channel makes money once fees and returns are in. Which products quietly lose it. Whether last quarter's stock call was right. Most owners cannot answer those without opening five tabs, and even then they caveat the figure before sharing it.

Shopify, your marketplaces, your accounts package and a spreadsheet each hold a piece of the picture, and they rarely agree.

Gross margin looks healthy until shipping, fees, discounts and returns come out, and by then the money has gone.

The numbers you need for a decision tend to land days after the decision had to be made.

When two systems disagree, the honest answer to which one is right is often neither, so the report ends in a caveat instead of a conclusion.

It is the same disconnected data that makes you oversell or makes month-end take three days, pointed at a different job. Fix it once and your reporting, operations and any AI you add all read from the same numbers.

What it is

Trustworthy reporting is a data problem before it is a dashboard problem.

Business intelligence is the work of turning the numbers already sitting in your systems into one current view you can decide from. Sales, true margin, stock and cash, by channel and by product, read the same way by everyone who looks. Not a new platform to log into, and not another export to stitch together by hand.

Most of what is sold as business intelligence is the dashboard, the charts on top. That is the easy part. A dashboard built on numbers that do not agree just shows you the wrong figure faster, and with more confidence. The decisive part is the data underneath, connecting the systems and settling what a sale and a margin actually mean, and that is the part we build for a living.

Google has put the same principle to work in its own field, under the name data strength: unify scattered data into one trustworthy version before expecting anything built on top to perform. A dashboard is no exception, it can only ever be as good as the data beneath it.

How we do it

We make the numbers agree first, then build the view on top.

The dashboard is the last step, not the first. Most of the work sits underneath it, getting your systems to tell the same story so the figure on the screen is one you can act on.

Map the decisions you make

We start with the questions you run the business on, margin by channel, your best and worst products, your cash position, then find where each number lives today.

Margin · stock · cash · channels

Connect the systems

We link the places your numbers come from so they feed one view, instead of sitting in separate tabs and reports that never quite match.

Shopify · marketplaces · ERP · accounts

Agree what the numbers mean

We settle the definitions that quietly differ across tools, what counts as a sale, what sits inside margin, so the same word means the same thing everywhere.

Definitions · rules · logic

Clean and reconcile

We resolve the contradictions between systems so the figures line up, and you stop wondering which version of a number to believe.

Matching · validation · checks

Build the dashboard

We build the view on tools you already pay for or can run cheaply, so margin and the rest are there, current, and readable at a glance.

Power BI · Looker Studio · Zoho Analytics

Hand it to your team

We train the people who will use it to read and run it, so the reporting keeps working after we leave rather than going stale in a month.

Training · documentation · 30/60/90

This goes beyond a dashboard vendor, who puts charts on top of whatever data you already have, and beyond a bookkeeper, who closes your books but does not connect your operations. We build the layer underneath that both depend on, and the same connected numbers feed your reporting, your operations and any AI you add. You build it once, and use it everywhere.

What you get

One view of the business you can actually decide from.

One dashboard that answers your real questions: margin by channel and by product, stock, and cash, updated to this morning.

Numbers that agree, because the systems behind them have been connected and the definitions settled.

A view built on tools you own or can run cheaply, Power BI, Looker Studio or Zoho Analytics, not another subscription you are locked into.

A team that can read and run it themselves, so the reporting stays alive long after we have gone.

We are straight about what you need. If your data is already clean enough that a dashboard is all that is missing, we will tell you, and that is a much smaller job. Most of the time it is not, and the reason past reporting went stale is the data underneath, not the chart on top. That is the part we fix, and the part most skip.

Common questions

Business intelligence, answered.

It shows the numbers you usually have to dig for, in one place and kept current: margin by sales channel and by product, stock levels, cash position, your best and worst performers, and how this period compares with the last. The value is not the charts though. It is that the figures behind them have been connected and reconciled first, so what you are reading is accurate enough to act on. Looker Studio and Zoho Analytics do a similar job; the right one depends on the tools you already run.
Because each was built to answer a different question and counts things its own way. Shopify reports orders, your accounts package reports money received, your ad platform claims its own conversions, and a refund or fee lands in each at a different time. None is wrong on its own; they simply do not line up until something connects them and settles which definition you are using. That reconciling is most of the work behind trustworthy reporting.
You can, for the slice each one sees. The gap appears the moment a question crosses systems, like true margin by channel, which needs sales, costs, fees and returns from several places at once. Built-in reports cannot see beyond their own tool, so you end up exporting and stitching the rest by hand. The point of this work is to answer the cross-system questions without the manual stitching.
Reporting usually gets abandoned for one of two reasons: the numbers were not trusted, or nobody owned it once the setup was done. Both come back to the data, not the tool. We connect and reconcile the systems first so the figures hold up, then train your team to run it, so it stays useful rather than going stale after a month. If the data is not fixed, no tool survives contact with a sceptical finance meeting.
No. This is built for owner-managed businesses, not enterprises with a data department. We use tools you already pay for or that cost little, such as Power BI, Looker Studio or Zoho Analytics, and we leave your team able to run it. The investment is in connecting and cleaning the data once, after which the reporting largely looks after itself.

In short

  • Business intelligence for a commerce business turns the numbers already held across Shopify, marketplaces, accounting and spreadsheets into one current view of margin, stock, cash and performance by channel and product.
  • The hard part of trustworthy reporting is not the dashboard; it is connecting the systems and reconciling the figures so the numbers agree before anyone reads them.
  • A dashboard built on data that does not agree shows the wrong number with more confidence, which is why reporting projects fail on the data underneath rather than the tool on top.
  • MYT Digital connects and reconciles the systems first, then builds the view on tools the business already runs, such as Power BI, Looker Studio or Zoho Analytics.
  • The same connected data that powers the reporting also powers day-to-day operations and any AI added later, so it is built once and used across the business.

See your real numbers

See what your numbers say once they agree.

Book a 30-minute review and we will look at where your figures live today, why they disagree, and what one view you can trust would take.

Book a 30-minute review See what it is costing you