The Predictive Analytics divison of OLRAC SPS has the distribution rights for the IBM SPSS range of products in South Africa and the majority of Sub-Saharan Africa. Our Predictive Analytics team offers comprehensive solutions to enable organisations to complete each stage of the analytical process.

We pride ourselves on the technical expertise of our staff and our in-depth knowledge and experience in the use and application of our diverse range of products. The benefits of such a team to an organisation are tailored solutions, comprehensive technical support and a range of training courses. Our solutions sales team will work closely with the key players within an organisation to understand their unmet needs, establish the required deliverables for the business and formulate a tailored solution which will ultimately impact on the organisation's revenue.
This complete and paperless world-leading software solution is capable of collecting, analysing, plotting, mapping, reporting, tracing and transmitting all vessel-related data. Our team will customise the software to the need of the client and his industry (e.g. commercial fisheries, aquaculture, scientific/oceanographic surveys, cargo and cruise ship operators, etc).

The system is now in use in more than 8 countries and more than 300 vessels. It consists of two main components: the Olrac Dynamic Data Logger, a world leading on-board unit capable of capturing, managing and reporting data for all marine-based activities. The Olrac Dynamic Data Manager is a complete, web based, vessel registry and quota management system.
Some core business involves:
  • Environmental impact assessments
  • All modern quantitative stock assessment tools
  • Development of new mathematical and statistical methods and computer software when existing techniques are insufficient or non-existent
  • Fishing gear studies, experimental field studies and stock surveys
  • Bio-economic appraisals of fisheries in the context of the scientific paradigms underlying their management
  • Exploration of the quantitative implications of management decisions