Data Audit
Analyse what already exists, identify friction points, assess data quality and prioritise actions.
DATA · INTELLIGENCE · PERFORMANCE
Analytics, Business Intelligence, decision-ready dashboards and automation: solutions designed to turn your data into actionable insight, surface opportunities and accelerate decision-making. Stop just looking at your data. Use it to decide.
YOUR PROBLEM · OUR EXPERTISE
A business problem: understand what is slowing you down. A data solution: turn your data into practical performance levers. A concrete impact: automate, manage and decide more effectively.
WHAT YOUR DATA CAN CHANGE
The goal is not to produce more data. It is to know where it comes from, how it is transformed and which decisions it can reliably support.
Analyse what already exists, identify friction points, assess data quality and prioritise actions.
Structure the Data/BI strategy, prioritise investments and build a roadmap aligned with business objectives.
Define and document the right KPIs, then turn reliable data into practical decision-support tools.
Explore, cross-reference and interpret data to identify trends, gaps and levers for action.
Make workflows reproducible, automate processing and reduce low-value manual work.
Forecasting, scoring or classification when models deliver measurable value beyond a simple rule.
BUSINESS DEMONSTRATIONS
From data to action: Each demonstration shows how we identify signals, build hypotheses and measure their impact. Data and results are presented for illustrative purposes. The data is fictional, does not come from real clients and is used exclusively for demonstration purposes. The performance, results and impacts presented do not constitute a guarantee of results.
OUR REQUIREMENTS
A data solution should remain clear and usable even when its original designer is not present. Its logic, business rules and critical controls should be documented and reproducible.
Definition, formula, grain, source, refresh frequency and owner when the context requires it.
Make data reliable, document its origin and business rules, preserve lineage and keep KPI definitions transparent.
Important transformations avoid manual steps that cannot be replayed, reviewed or audited.
Code, queries and logic versioned when the project allows it, with traceable changes.
Architecture, business rules, limitations, key watch-outs and operating instructions transferred to the client.
A baseline before intervention and post-deployment metrics to verify whether the expected gain materialised.
OUR TECHNICAL ECOSYSTEM
Our technical environment adapts to the problem, the data, the users and the operating constraints.
Python, Pandas, NumPy, descriptive and inferential statistics, segmentation, experimentation and forecasting when relevant.
Connect sources, structure flows and build a robust, scalable data architecture.
Power BI, DAX, Tableau, Excel, KPI design, reporting and decision-ready dashboards.
Python, APIs, automated reporting, controls, exports, Git, Docker, FastAPI and documentation when the use case requires them.
Regression, classification, scoring, feature engineering and scikit-learn — only when a model creates more value than a simple rule.
WHITE - LABEL
Pretoria BI works as a subcontracting or white-label partner for consultancies, agencies, IT services firms and freelancers that need additional data expertise without expanding their permanent teams. The engagement fits your client relationship, tools and delivery standards.

ABOUT THE FOUNDER
For nearly nine years, I worked in Food & Beverage management across high-end hotels and fine-dining restaurants, with professional experience on four continents.
I learned to run operations where every decision has an immediate impact: costs, margins, inventory, teams, occupancy, customer retention, satisfaction, service quality and operational performance.
Over time, one thing became clear: companies often have plenty of data but lack a clear enough view to know where to act, what to prioritise and how to measure the impact of a decision.
I therefore chose to specialise in Data Analytics, Business Intelligence and data science to add an analytical layer to that field experience.
Pretoria BI grew out of that combination: understanding how a business operates in practice, then turning its data into useful signals, testable hypotheses and measurable levers for action.
My approach remains the same across sectors: first understand what creates or destroys value, identify the metrics that truly matter, then build the analysis and tools needed to decide with greater precision.
These capabilities are now available to support your business.
“I did not discover business problems in a dataset. I encountered them in the field before learning how to address them through data.”

WHITE PAPER · FR / EN
A practical 28-page guide covering metric contracts, data quality, lineage, hypotheses, architecture, automation, ROI, decision logs and a 30-day action plan.
FAQ
Direct answers about projects, data, confidentiality and ways of working.
LET'S TALK ABOUT THE PROBLEM, NOT THE STACK
Describe your situation in a few lines. Pretoria BI will reply with a clear way to frame the problem, with no obligation.