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You are at:Home»Business»What A Data Analyst Learns When The Spreadsheet Becomes A Real Business
SupplementMe's five-product range, including vitamin D3 gummies, a vegan daily multivitamin, probiotics, acerola vitamin C and ashwagandha gummies.
SupplementMe's five-product range, including vitamin D3 gummies, a vegan daily multivitamin, probiotics, acerola vitamin C and ashwagandha gummies.

What A Data Analyst Learns When The Spreadsheet Becomes A Real Business

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Posted By Editorial Team on September 29, 2026 Business

Before starting his own business, Tarik Azirar, Founder of SupplementMe, spent seven years working in data and analytics. His job trained him to be suspicious of small samples, avoid drawing conclusions too early and look for evidence before changing course.

Then he became a founder and discovered that early-stage businesses frequently require the exact opposite.

He launched SupplementMe, a UK ecommerce supplement business, after redundancy in 2026. There was no large funding round or established customer base waiting for him. Like many small founders, he had to make decisions about stock, suppliers, fulfilment, pricing and marketing before the business had enough data to answer those questions properly.

That tension has taught him several lessons that apply well beyond ecommerce. Here, in his own words, are those lessons.

Some Decisions Create The Data You Need

An analyst naturally wants more evidence. A founder sometimes cannot get that evidence without committing first.

You cannot learn how customers respond to your product page until the page exists. You cannot calculate a realistic fulfilment cost until orders begin moving through the system. You cannot know which products customers will reorder until people have had enough time to buy and use them.

The goal is therefore not to eliminate uncertainty. It is to make the smallest sensible decision that creates useful information.

For SupplementMe, that meant starting with a deliberately narrow product range rather than trying to imitate established brands with hundreds of SKUs. Fewer products meant fewer variables, less stock exposure and clearer information about what people were actually interested in.

Clean Data Is A Luxury Early Businesses Do Not Have

In an established company, you might have years of sales history and thousands of customer journeys to analyse. In a new business, five visitors behaving strangely can make a conversion rate look catastrophic.

This creates a dangerous temptation to optimise constantly.

A founder sees a poor day of advertising performance and changes the campaign. The next day they rewrite the product page. Then they change the price. Soon there are so many simultaneous changes that nobody knows what caused the result.

I have had to become more comfortable leaving things alone long enough to learn from them. The analytical instinct is still useful, but discipline matters more than dashboards when the sample is small.

Operations Can Matter More Than The Idea

Before launching, it is easy to spend most of your time thinking about branding, products and marketing. In reality, a surprising amount of early-stage business is operational plumbing.

Who manufactures the product? Where is stock stored? How does an order reach the fulfilment partner? What happens when a customer changes an address? What information needs to appear on a label? What happens when a system integration fails?

None of these questions make for a glamorous founder story, but they determine whether the customer receives what they paid for.

A mediocre idea with reliable operations has a chance to improve. A brilliant idea with broken operations can lose trust very quickly.

Cash Is A Different Metric When It Is Yours

A spreadsheet may describe stock as an asset. A founder sees money that cannot be used for anything else until somebody buys the product.

That changes how you think about range size, minimum order quantities and ‘good deals’ from suppliers. A lower unit cost is not automatically better if achieving it requires buying far more stock than the business can sensibly sell.

For a bootstrapped company, flexibility often has value that never appears in the quoted unit price.

Analysis Should Reduce Decisions, Not Create More Of Them

The most useful change in my thinking has been learning that data is not there to give a founder more things to worry about.

It should help narrow attention.

Instead of monitoring every metric because a platform makes it available, I now try to ask a simpler question: what decision would change depending on this number?

If the answer is ‘none’, it probably does not deserve much attention yet.

Moving from analytics into entrepreneurship has not made me value data less. It has made me more conscious of what data cannot do.

Numbers can show what happened. They can make uncertainty smaller. But at the beginning of a business, someone still has to decide what happens next before the evidence is complete.

Author Bio
Tarik Azirar is the founder of SupplementMe, a bootstrapped UK ecommerce supplement brand. Before launching the business in 2026, he spent seven years working in data and analytics. Website: https://www.supplementme.co.uk

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