Data science services for clearer, faster business decisions
Most businesses already have the data they need. It's just spread across spreadsheets, CRMs and accounting systems. Our data science services bring it together, clean it up and turn it into reports, forecasts and models you can act on.
At a glance
- Dashboards in Power BI, Looker Studio or custom builds
- Sales and demand forecasting
- Data pipelines that update on their own
- Plain-English findings, not just charts
What do data science services include?
Data science services cover collecting, cleaning and analysing business data to answer questions and predict what's likely to happen next. Typical work includes building dashboards, combining data from different systems, forecasting sales or demand, and creating machine learning models that spot patterns people would miss.
Services
What we deliver
We start with the business question, then pick the simplest method that answers it well.
Dashboards and reporting
Live dashboards that replace manual monthly reports.
Data engineering
Pipelines that pull data from your systems into one reliable warehouse.
Forecasting
Predictive models for sales, stock, staffing or cash flow, based on your history.
Customer analytics
Group customers, measure lifetime value and find the ones likely to leave.
Machine learning models
Classification, recommendations and anomaly detection for specific problems.
Data audits
Find out what data you have, how reliable it is and what it could tell you.
Is it right for you?
Questions we help answer
- Which products, customers or regions are most profitable?
- How much stock or staff will we need next quarter?
- Which customers are likely to leave, and why?
- Where are we losing time or money in our operations?
Compare
Business intelligence vs data science
Most companies need both. They answer different questions.
| Compare | Business intelligence (BI) | Data science |
|---|---|---|
| Main question | What happened? | What will happen, and why? |
| Typical output | Dashboards and reports | Forecasts, models and deeper analysis |
| Tools | Power BI, Looker Studio, Tableau | Python, SQL and machine learning libraries |
| Best for | Tracking performance day to day | Planning, prediction and optimisation |
How we work
Our process, step by step
Discover
We agree the business questions that matter most.
Data audit
We check your data sources and how reliable they are.
Build
Pipelines, dashboards and models, built step by step.
Validate
We test accuracy against real outcomes before you rely on it.
Deliver and support
Training for your team and regular data refreshes.
Technology
Tools and technologies we use
Analysis
BI tools
Data
Pipelines
Why Kedra Digi
Why work with us
Designers, developers and testers work together in-house. Your project is never passed to a subcontractor.
Before any work starts you get an itemised proposal that explains what we'll build and how.
Source code, designs, documentation and accounts are handed over to you. There's no lock-in.
We monitor, maintain and improve what we build for as long as you need us.
Kedra Digi is an Australian-owned software development company. See our recent projects.
What's the difference between data analytics and data science?
How much do data science services cost?
Do we need a lot of data to get started?
Can you work with Excel or Power BI?
Is our data kept secure?
Will our team be able to use the results?
Related services
Often paired with this service
Free discovery call
Sitting on data you don't use?
Tell us the questions you'd like answered. We'll reply within one business day with honest advice on where to start.
Prefer email? [email protected]