The Research & Intelligence Division
Researchers, analysts, data scientists and engineers working together to map the South African events economy.
Oversight of all industry intelligence
Chief Research Officer
Oversight of all industry intelligence, trend forecasting, research methodologies and award evaluation frameworks.
Director of Event Industry Intelligence
Leads the collection, validation and analysis of event industry data across South Africa.
Director of Strategic Analytics
Responsible for predictive modelling, benchmarking and performance scoring systems.
The teams behind the platform
The PartyTrends Intelligence Platform is built and maintained by specialist divisions.
Event Intelligence Unit
Monitors thousands of suppliers, venues and entertainers — market share, industry mapping, competitive intelligence and category tracking.
Search Intelligence Division
Analyses event-related search behaviour: keyword intelligence, demand forecasting and consumer-intent modelling.
AI Research Division
Develops proprietary systems for pattern detection, trend prediction, forecast modelling and behaviour analysis.
Data Acquisition Division
Large-scale collection and validation: accuracy, consistency, deduplication and standardisation.
Industry Scoring Committee
Oversees the awards evaluation framework — methodology, scoring criteria and benchmarks.
Trend Forecasting Council
An advisory group reviewing major industry forecasts across weddings, corporate, kids and venues.
Building South Africa's largest event intelligence platform
People often ask how PartyTrends gathers so much data. The answer is simple: relentlessly.
Most people see the reports, rankings, awards and insights. What they don't see are the thousands of hours spent building the systems behind them. Every day starts with one question: what is changing in the events industry right now? Not next year. Not next month. Today.
Because if you can identify a trend before everyone else sees it, you gain an enormous advantage. A large part of my role is building and maintaining the pipelines that collect, clean, validate and enrich information — because raw data is rarely valuable, but reliable data is.
Artificial intelligence plays an important role, but it isn't making the decisions. It helps us process volumes of information that would be impossible to analyse manually. AI helps us find the signal — human expertise determines what that signal means.
— Lead Developer, PartyTrends Research & Intelligence Division