Data Analytics & Business Intelligence

Turning raw data into decisions from what happened, to why it happened, to what happens next.

As a data analytics company in Kenya, working with organisations in Nairobi, Malindi and beyond, 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.

Tools & Methods

Python Power BI Tableau SQL Statistical Modelling Regulatory Compliance Auditing

Frequently Asked Questions

What is the difference between descriptive, diagnostic and predictive analytics?

Descriptive analytics shows what happened, through dashboards, reports and trends. Diagnostic analytics explains why it happened, through root cause and variance analysis. Predictive analytics estimates what is likely to happen next, through forecasting and modelling.

Do you build Power BI dashboards?

Yes. We build dashboards and recurring reports for businesses and institutions in Malindi, Nairobi and across Kenya, and for clients worldwide, using tools including Power BI, Tableau, Python and SQL.

What if our data is sitting in spreadsheets?

That is exactly where we start. Data held in spreadsheets, systems or reports that nobody has time to properly analyse can be turned into clear, reliable dashboards and reporting.

How much does data analytics and business intelligence cost?

There is no fixed price, because it depends on your data and what you need to learn from it. Every project begins with a Business Discovery & Strategy engagement, followed by a written proposal covering scope, timeline and investment. The Discovery & Strategy fee is credited toward your project.

Have data sitting in spreadsheets, systems or reports that nobody has time to properly analyse? That is exactly where we start.

info@veritasdataservices.com