Business analytics consultancy

There’s more in your data than you’re seeing.

Behind familiar figures are patterns that can change where you invest, what you fix, and how you grow. We investigate your business data to uncover opportunities and problems that routine reports can miss.

For small and mid-sized businesses.
Built around the data you already have.

Brilliant solutions, clearly presented.

Discover. Understand. Act.

01 / The unexplored detail

You know your business.
Your data may still surprise you.

The useful discovery is often a connection: between a discount and a buying habit, a delivery rule and a shrinking margin, or growth in one group and decline in another.

01

Margins & revenue

Which sales are quietly costing you?

Small orders, special discounts, frequent returns, and expensive deliveries can change the value of a customer or product. Combining those records reveals where revenue stops translating into contribution.

02

Customers & marketing

Is growth hiding the customers you’re losing?

A flow of new buyers can conceal weaker repeat purchasing. Compare customers by when and how they arrived to see which relationships last—and which acquisition channels only look successful at first.

03

Inventory & operations

Where does the same problem keep returning?

A delay that looks random may cluster around certain products, suppliers, order sizes, or times of day. Finding that pattern helps you investigate the cause instead of repeatedly treating the symptom.

04

The connections between reports

What becomes visible when the records meet?

Sales, stock, payments, and service records describe different parts of the same business. Connecting them can expose missed charges, unusual exceptions, or opportunities that no individual report shows.

These are starting points for investigation. What matters in your business depends on the evidence.

02 / What a headline can hide

Illustrative example · fictional data

A better headline.
A weaker underlying trend.

An online shop sees its repeat-purchase rate rise from 24% to 26%. A reassuring result—until the customers are separated by how they were acquired.

What the totals missed

Repeat purchasing fell in both groups. The overall rate rose because more customers came from referrals, the group already more likely to return.

That changes the next question: what changed in the experience of each group, and where should the business investigate first?

Inside the analysisCustomer retention
The headline

24% 26%

Customers who bought again within 90 days
+2 pp
What happens inside each customer group
SourceEarlier cohortLater cohort
Referrals60%120 of 20050%200 of 400
Paid acquisition15%120 of 80010%60 of 600
All customers24%240 of 1,00026%260 of 1,000

Both cohorts have the same 90-day observation window. Figures show repeat buyers out of acquired customers.

This fictional example illustrates a mix effect, not a client result. It identifies a pattern; it does not establish why purchasing changed.

03 / From discovery to decision

Find what matters.
Know what to do with it.

An interesting pattern is only the beginning. The work is to check whether it holds up, understand its business relevance, and make the next decision clearer.

  1. Start with your business

    Understand how you make money, where you feel friction, and which decisions could benefit from a closer look. You do not need a fully formed analytical question.

  2. Follow the evidence

    Connect relevant records, examine differences, and test possible explanations. Check data quality and distinguish useful signals from misleading patterns.

  3. Make the findings usable

    Receive the findings, their implications, and prioritized next steps—with the assumptions, uncertainty, and limits made explicit.

What you take away

A focused report you can use to make decisions, supported by the charts and calculations that matter. Scope, fees, and timing are agreed before the work begins.

A direct working relationship

Your business context
stays in the conversation.

I’m Iago Seleme, founder of Piancastelli Analytics. You work directly with me, from the first discussion to the interpretation of the findings.

Your experience tells us where to look. The analysis helps test what you suspect—and discover what you may not yet have thought to ask.

Iago Seleme Founder · Piancastelli Analytics

Before we begin

A few practical questions.

What if I don’t know what to look for?

That is a reasonable starting point. Tell me how your business works and which records you keep. We can identify useful areas to explore and agree a focused scope, without assuming in advance what the findings will be.

We already have reports. What would this add?

Your reports may answer recurring questions about sales, stock, or performance. A focused investigation looks across those records, compares groups and time periods, and tests explanations for patterns the standard reports do not explore.

Does our data need to be perfectly organized?

No. Spreadsheets and exports from your existing systems can be a starting point. First we assess what the records can support, where they disagree, and whether preparation or additional information is needed.

Can we start with a small project?

Yes. One business area, decision, or concern can provide a manageable first scope. The work and fee depend on the available data and what is needed to reach a useful conclusion.

Discuss your data

What might you be missing?

You don’t need to know the answer—or even the exact question. Tell me about your business and what you would like to understand better.

A useful place to start

“Sales are growing, but the business doesn’t feel more profitable.”

“We have years of customer records. I’m not sure what we could learn from them.”

Start a conversation

Just enough context to begin.

A concern, an opportunity, or a little about your business and the data you keep.

Please leave out confidential figures, customer records, and files. We can agree how to share data later.