Veritas Data Services builds analytics solutions across three levels of maturity. Most organisations start with dashboards and reports, but the real value comes from combining all three, understanding your past performance, diagnosing the causes behind it, and forecasting what comes next.
Descriptive Analytics
What happened?
Dashboards, reports, KPIs, trends, historical performance.
This is the foundation of any analytics practice clear, reliable visibility into what has already occurred across your business or organisation. We build dashboards and recurring reports that track the metrics that matter, so decisions are based on actual performance rather than guesswork.
Example: Monthly sales reports, PBJ staffing summaries.
Diagnostic Analytics
Why did it happen?
Root cause analysis, drill-down analysis, variance analysis, correlations.
Once you know what happened, the next question is always why. We drill beneath the headline numbers to identify the specific drivers behind a trend, isolate variance between expected and actual performance, and surface correlations that explain the pattern rather than just describing it.
Example: Investigating why staffing levels dropped on weekends, or why sales declined in a specific period.
Predictive Analytics
What is likely to happen?
Forecasting, predictive modelling, trend projections, machine learning models.
With a solid descriptive and diagnostic foundation in place, we build forward-looking models using historical patterns to forecast demand, staffing needs, or customer behaviour, so decisions can be made ahead of a problem rather than in reaction to one.
Example: Predicting future demand, staffing requirements, or customer churn.