From data you can trust to outcomes you can measure.
Six offerings that stack. Each one assumes the ones below it are solid, so we start wherever your data actually is. Some organisations need the foundation rebuilt first. Others already have clean numbers and want the forecasting on top.
We make your data trustworthy.
Collection, integration and governance
Before anything else, the numbers have to be right. We pull your data out of spreadsheets, databases, ERP and POS systems, then clean, reconcile and govern it into one layer everyone can rely on.
- Data collection and migration
- Cleaning, validation and deduplication
- Integration, pipelines and APIs
- Data warehouse and governed definitions
We show you what is happening.
Dashboards, KPIs and automated reporting
The monthly reporting scramble ends here. Executive and operational dashboards, built on governed metrics, updating without anyone exporting a thing.
- Executive and operational dashboards
- KPI systems with owned definitions
- Automated management reporting
- Self-serve exploration for your team
We explain why it is happening.
Segmentation, trends and performance analysis
A dashboard tells you sales fell. Analysis tells you which branches, which products and which customers caused it, so you can act on the cause instead of the symptom.
- Customer and product segmentation
- Trend and variance analysis
- Branch and unit benchmarking
- Risk and performance analytics
We tell you what is likely to happen.
Forecasting, anomaly detection and alerts
Models that see the stock-out, the churn risk or the fraud pattern before it lands on your income statement.
- Demand and revenue forecasting
- Churn and credit risk prediction
- Anomaly and fraud detection
- Predictive alerts to the right person
We help you determine what to do.
Interventions designed, implemented and measured
This is where most analytics work stops and ours continues. We design the intervention, put it into operation, and measure it against the baseline so you know whether it actually worked.
- Recommendations tied to a decision
- Intervention design and rollout
- Baseline and post-intervention measurement
- Optimisation based on the evidence
We package intelligence for repeated use.
Benchmarks, datasets and subscriptions
Once a solution proves itself in one organisation, it becomes a product. Market intelligence, sector benchmarks and datasets you subscribe to rather than commission.
- Zimbabwe market and sector intelligence
- Industry benchmarks
- Curated datasets
- Subscription intelligence products
The layers underneath.
Every offering above draws on the same four capability layers. You can buy at any level, but the layers below it still have to be right, which is why we look at the foundation before quoting on the analytics.
Data Acquisition
Collecting operational, transactional, customer, financial, market, geographic and survey data, from wherever it currently sits.
Data Engineering
Cleaning, validating, transforming, integrating and governing that data, with pipelines, APIs and stores that hold up under load.
Data Intelligence
Business intelligence, KPI and customer analytics, financial analytics, forecasting, risk analytics and machine learning.
Solutions
Using what the analysis shows to design interventions, put them into operation and measure whether the outcome improved.
How engagements start.
The first engagement should be small enough to prove. We pick one problem that is costing you money, measure what it costs today, then build only what is needed to move that number. Scope grows once there is evidence it should.
Paid pilot
One painful, measurable problem. We record the baseline, build only what the pilot needs, and show you the difference.
Delivery project
A defined data or analytics build with a fixed scope, price and handover.
Managed data & analytics
We run your pipelines, data quality and intelligence as an ongoing service.
Start with one problem.
Bring us the decision you cannot make or the number you cannot trust. We will scope a pilot around it and agree upfront how we measure whether it worked.