Services / Data & Analytics
Turn scattered data into decisions your team trusts
Your business already generates the data it needs. It just lives in six systems, disagrees with itself and reaches decision-makers a month late. We build the pipelines, warehouse and dashboards that make one version of the truth the easy default.
What data & analytics covers
When every department exports its own spreadsheet, meetings turn into arguments about whose numbers are right. Reporting eats days of skilled people's time, and by the time leadership sees a trend, the moment to act on it has passed.
Data warehousing
A central warehouse that consolidates your operational systems into clean, modelled tables built for reporting and analysis.
Pipelines and integration
Automated pipelines that pull from your ERP, CRM, finance and field systems on a schedule, with failures caught and flagged.
Dashboards and BI
Live dashboards for executives and operators alike: the five numbers that matter, drillable to the transaction behind them.
Reporting automation
The month-end packs and compliance reports your team assembles by hand, generated automatically and delivered on schedule.
Data quality and governance
Validation rules, ownership and lineage so every metric has a definition and a person accountable for it.
Predictive analytics
Forecasting for demand, cash flow and maintenance, built on your history and validated against it before anyone relies on it.
What you walk away with
Every data & analytics engagement ends with assets you own outright: code, designs, documentation and the knowledge to run them. No black boxes, no lock-in.
- A data audit mapping every source system and its quality issues
- A production data warehouse with documented models
- Automated pipelines with monitoring and failure alerts
- Role-based dashboards for executives and operational teams
- A metrics dictionary defining every number on every screen
- Training so your team can build their own reports
Tools we reach for
Mature, well-documented technology your next hire will already know.
Storage and processing
PostgreSQL
MongoDB
Elasticsearch
Redis
AWS S3Pipelines and modelling
PythonppandasAApache Airflowddbt
Node.jsAnalysis and visualisation
Grafana
Reactsscikit-learnHow it runs
Audit and model
We map your source systems, find where numbers disagree and why, and design a warehouse model around the questions you need answered.
Results from this practice
Straight answers on data & analytics
What does a data and analytics project cost?
A dashboard project on top of existing systems runs R120,000 to R400,000. A full warehouse with automated pipelines typically lands between R450,000 and R1.2 million. We start with the audit, around R60,000, which prices the rest precisely.
How long before we see our first dashboard?
The first live dashboard usually ships 4 to 6 weeks after kickoff, built on your most painful manual report. The full warehouse build runs 3 to 6 months, shipping usable pieces throughout.
Our data is messy. Do we need to clean it first?
No, and please do not try. Cleaning data without a target model wastes effort. The audit finds the issues, the pipeline fixes the fixable ones automatically, and the rest get flagged to a named owner with a process.
Will our team be able to run this without you?
Yes, that is the goal. Everything is documented, the metrics dictionary explains every number, and we train your people to build their own reports. Many clients keep a light retainer of R15,000 to R40,000 per month for pipeline changes and new models.
Pairs well with
Put data & analytics to work in your business
A free 45-minute consultation with an engineer. You leave with options and honest numbers.