ABOUT US
Twenty years behind us = future success for you
Two decades of experience in Hospitality and Retail taught us the importance of adopting a data driven culture to minimise the impacts of uncertainty caused by the perpetual change in consumers’ expectations.
A smarter way to achieve these goals was required that went way beyond the restrictive retrospective and current insights generated from traditional data analytics tools.
We created an industry-first prescriptive analytics engine which predicts future events and then uses those predictions to prescribe a course of action customised to each clients’ needs.
We use cognitive technologies, data science, combined with our sector consultancy experience to provide an end-to-end service for retail and hospitality brands.
Now Retail and Hospitality professionals take the best actions from data fuelled foresight, generating the most value and the greatest competitive edge.
Data rockstars
Phillip Sewell
Founder
Co-founder & CEO
Phillip Sewell, Founder
A technologist at heart, Phillip believes in the power of people and process – leading transformational change in businesses that understand the importance of data. Phillip started Predyktable to improve the outcomes of customers to employees alike within hospitality and retail, two sectors so vital for our mental health and wellbeing.
Andrew Kohter
Founder
Co-founder & CPO
Andrew Kohter, Founder
Driven by innovation, Andrew has worked with global brands and has a history of championing transformation through adaptable digital products that excite and delight customers. Andrew values collaborative relationships and believes they are key to adding true commercial value and enabling success.
Tim Jacobs
Founding Member
Technology Director
Colin Crawford
Founding Member
Director of Data Science
Colin Crawford, Founding Member
Colin has worked across engineering, insurance and banking domains with roles leading multidisciplinary data teams developing solutions that solve business problems. Colin is a strong believer in pragmatic solutions, using big data and machine learning effectively whilst at the same time being wary of its reputation as the panacea to all modern data problems.
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