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How OLSPS Analytics Adds Value to Your Industry:

Data Mining Software Sales

OLSPS Analytics is the predictive analytics division of OLSPS, and as an award winning IBM Business Partner we dedicate significant resources to the sale and deployment of IBM SPSS software and SAS solutions. We specialise in the design and deployment of predictive analytics solutions based on the tools inherent in these software suites and in-house developed analytical technologies, such as deployment platform OLSOLV, a unique “solutions deployment platform”.

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Data Analyst Training

OLSPS Analytics offers in-house training programmes in IBM SPSS software conducted by IBM certified experts. Additional predictive analytics software courses are on offer from basic to advanced, including: AI, machine learning, predictive analytics, data mining, complex optimisation tools and techniques, survey designs and many more.

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Business Solutions and Software Support

OLSPS Analytics’ dedicated technical support team is on-hand to address any client issues and ensure optimal software use and the functionality of your business solution model.

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Data Science and Predictive Analytics Solutions Consulting

OLSPS Analytics’ team of expert data management specialists, system integrators, programmers & project managers can translate the needs of any company with big data into an enterprise-wide business solution.

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About OLSPS Analytics

OLSPS Analytics is an international market-leading data science and Predictive Analytics specialist. The company is a part of OLSPS Group founded in 1989 by Dr Amos Barkai and Dr Mike Bergh.

OLSPS Analytics focuses on complex big data, predictive analytics, software optimisation and business solutions across a diverse range of industries.

OLSPS Analytics’ clients cover large telecommunications companies, marketing research, universities, government agencies, banks, insurance companies, large retailers and manufacturers, logistic companies, medical aid companies, agribusiness, energy companies, research and management agencies.