Independent analytics for growing businesses

Know what changed. Understand why. Decide what to do next.

I assist management turn fragmented business data into clear answers: what changed, why it changed, what it means financially and whether action is justified.

 

For owners and senior managers in businesses with 20 – 150 employees, where ERP, CRM, spreadsheets and dashboards exist but the performance questions remain unanswered.

For owners, CEOs and senior managers · Greece & remote

When the reports stop short

You have the data.

You still need an answer.

A dashboard can show a change. Management needs to know whether it matters, what explains it and which response the evidence supports.

01 / PERFORMANCE

Revenue changed.
Which driver moved?

Separate volume, price, mix, customer behaviour and timing. Check whether the change is material before recommending a response.

02 / PROFITABILITY

Sales look healthy.
Where is margin going?

Trace discounts, product economics, acquisition costs and service failures to their financial effect.

03 / MANAGEMENT REPORTING

Reports disagree.
Which numbers can you trust?

Reconcile sources, agree KPI definitions and create a management view that connects exceptions with decisions.

How I can help

Start with one
important business question.

A focused diagnostic is the starting point. Further work follows the need: clearer reporting, reliable data flows or deeper analysis.

The Starting Point

Business Performance Diagnostic

What changed? Is it material? What explains it? Should management intervene?

 

I investigate a defined performance question, test the likely drivers and quantify the impact within the limits of your data.

Fixed scope. Clear decision. Agreed fee.
Scope, data requirements, deliverables and timing are agreed before work begins.

What you leave with

A reconciled view of what changed
Consistent definitions, meaningful comparisons and data-quality checks.

The drivers supported by the evidence
Tested explanations, alternative causes and confidence limits.

A quantified impact assessment
Measured effects separated from estimated opportunities and assumptions.

An act-or-monitor decision
A proportionate response, owner, KPI, monitoring threshold and review period.

Manage

KPI Management & Decision Reporting

Know what needs attention, why it matters and who should respond.

Deliverables: Decision/KPI mapping, agreed definitions and thresholds, an Executive Overview, exception explanations and a management review workflow.

Decide

Advanced Decision Analytics

Determine which customers to protect, where acquisition spend pays back or which products and prices deserve review.

Deliverables: A decision brief, customer or revenue analysis, tested scenarios, uncertainty assessment and action priorities. Methods such as cohorts, RFM or CLV:CAC follow the question.

ENABLE · THE DATA FOUNDATION

Data Integration & Reporting Automation

Trust your numbers and get them without repeatedly assembling reports by hand

Deliverables: Reconciled sources, shared business definitions, integrated SQL models, automated reporting, validation controls and handover documentation.

Ongoing support: monthly performance reviews can track the agreed KPIs and assess whether the response is working.

The analytical approach

From a management question
to a justified decision.

01 / DEFINE

Know what changed.

Agree the decision, KPI, comparison period and materiality. Reconcile the underlying data.

02 / DIAGNOSE

Understand why.

Test the drivers. Break down trends by customer, product, channel and operation. Check timing and seasonality.

03 / QUANTIFY

Measure the impact.

Estimate value at risk or opportunity. Make assumptions, confidence and implementation costs explicit.

04 / DECIDE

Choose what comes next.

Recommend a proportionate action or monitoring, with an owner, KPI and review period.

Selected portfolio work

Three projects.
The reasoning behind the numbers.

Portfolio demonstration · sanitized data

SQL · Tableau · Python

Revenue and profitability. Customer retention. Marketing investment. Each project connects a business question with evidence and a practical management response.

01 / E-COMMERCE

E-commerce Revenue & Profitability Diagnostic

Why is revenue falling and where is profit being lost?

02 / SAAS

SaaS Revenue, Churn & Retention Diagnostic

Why is recurring revenue shrinking and which accounts need attention?

03 / MARKETING

Campaign Performance & Budget Allocation

Which campaign categories create customer value and where should budget be tested next?

Pavlos Poli

Pavlos Poli

Independent Business Insights & Analytics Consultant

 

Based in Greece.
Working on site/remotely with growing businesses.
Greek & English.

Business context. Analytical depth.

I understand the management question - and do the analysis.

My background combines strategy and operations consulting with hands-on data analytics and business intelligence. I work across commercial, financial and operational data to make performance easier to explain.

 

You work directly with me, from defining the question and preparing the data to presenting the findings and agreeing how the decision will be evaluated.

 

I use AI-assisted tools where appropriate to support delivery. I validate the calculations, test the explanations and take responsibility for the analytical recommendation. Management owns the final business decision.

MBA · Chapman University

BSc · Computer Information Systems

SQL

Tableau

Python

Excel

AI-assisted analysis

Before we start

We start by reviewing what you already have. ERP and CRM exports, transaction data and spreadsheets may be enough for a focused diagnostic. If data gaps limit the answer, I make those limits clear and agree what needs to be fixed.

The fee depends on the question, data condition and depth of work. After the Fit Check, I propose a defined scope, deliverables, timeline and fee. Further phases are agreed separately.

In a 30-minute conversation, we discuss the performance question, why it matters, available data and the decision you need to make. The next step is a scoped proposal if there is a fit.

Yes. CRM, ERP, accounting, e-commerce and marketing sources can be mapped into a reconciled analysis layer as a separate data-integration engagement. Scope depends on source access, data quality and refresh requirements.

Yes. Advanced analytics modules are scoped around one decision, for example which customer segments to retain, where acquisition spend pays back or which cohorts are weakening. Each module is quoted after a data-fit review.

I validate the files before the full engagement. If data repair is required, I will explain the limitation and quote it separately rather than hiding it inside the diagnostic.

Start a conversation

What is the business question you need answered?

Tell me what changed, what you are trying to decide and where your data sits. We can start with a 30-minute Fit Check call.

Prefer LinkedIn? Send me a message

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