Certified data science, applied to decisions your business actually makes.
Dashboards that show what's happening, and models that help predict what's next — built by a certified Data Scientist, not a generic reporting template.
Most businesses have data. Few can actually use it.
Sales records sit in spreadsheets. Customer information is scattered across WhatsApp, email, and a CRM nobody updates consistently. Decisions get made on instinct because pulling a clear answer out of the data would take hours nobody has.
You don't need a data science department to fix this — you need someone who can turn what you already have into something usable.
- Sales and customer data scattered across spreadsheets and apps
- No dashboard — someone manually compiles numbers for every meeting
- Decisions made on instinct because the data takes too long to interpret
- No visibility into which customers, products, or channels actually perform
- Interest in AI or automation, but no clear starting point
Built for businesses making decisions without a data team.
Businesses drowning in spreadsheets
Companies with real data — sales, inventory, customers — but no clear way to see trends or performance at a glance.
Growing companies making bigger bets
Businesses at the point where a wrong decision costs real money, and gut instinct alone isn't enough anymore.
Businesses curious about AI
Companies that keep hearing about AI and automation and want a grounded, honest assessment of where it actually applies to them.
Assess → Clean → Build → Explain.
Every project starts with what data actually exists, not an assumption of a perfect dataset.
Assess
Review what data already exists, where it lives, and what question you're actually trying to answer.
Clean
Fix inconsistencies, gaps, and errors — the unglamorous work that makes everything after it reliable.
Build
Build the dashboard, model, or analysis that answers the actual business question.
Explain
Walk through what it shows and how to use it — not just hand over a file and disappear.
Deliverables, not just activity.
Common situations this solves.
Someone manually builds reports every month
A live dashboard replaces hours of manual spreadsheet work with numbers that update automatically.
You don't know which customers matter most
Analysis surfaces which customers, products, or regions are actually driving the business.
Stock and demand planning is guesswork
Predictive models based on historical patterns give a more grounded basis for planning ahead.
You want to explore AI but don't know where to start
An honest advisory conversation about where automation or AI genuinely fits your business, without the hype.
Not a reporting template — real applied data science.
See the underlying technical work on the data science portfolio →
Business analytics FAQs.
Less than most businesses assume. Spreadsheets, CRM exports, sales records, or even paper logs can be a starting point. Part of the process is assessing what data already exists and what's realistic to start collecting going forward — you don't need a perfect data warehouse first.
A dashboard shows you what has already happened — sales trends, customer numbers, performance over time — in a clear, visual format. A data science project goes further, using models to predict what's likely to happen next or recommend a specific action, like the recommendation engine built for a real project.
No. This service is built specifically for businesses that don't have an in-house data team. YuzziTech handles the technical work — data cleaning, modelling, dashboard building — and delivers something your team can actually use without needing to know Python or SQL.
Power BI for dashboards and reporting, Python and SQL for deeper analysis and modelling. The tool is chosen based on what fits the problem and what your team can realistically maintain afterward, not a fixed package.
Related services.
Tell us what decision you're trying to make with data.
Book a short consultation — we'll look at what data you already have and what's realistic to build from it.