Majid Al Futtaim has announced plans to improve its advance analytics capabilities in a bid to gain deeper insight into consumers and offer more personalised experiences, this company announced this week.
“At Majid Al Futtaim, our customers are always at the centre of everything we do,” said Majid Al Futtaim – Holding CEO Alain Bejjani. “By investing in advanced analytics, we are able to more intimately understand and predict their evolving needs and preferences, and in turn, more effectively deliver experiences that fulfil our vision of creating great moments for everyone, everyday.”
“With a robust and diverse database of unique customers, and best-in-class tools, training and expertise now in place, we are confident our customers will see great value in our personalised experiences,” he added.
Majid Al Futtaim has detained four separate elements as part of its push towards improved data analytics: increasing group wide capabilities, enriching data, using technology to enable analytics, and delivering value derived from data.
As part of the move, Majid Al Futtaim is currently recruiting data engineers, scientists and translators, which will be embedded within the company’s various business units.
Additionally, the School of Analytics and Technology launched in June at Majid Al Futtaim’s Dubai-based Leadership Institute has begun delivering a number of educational programmes to help employees understand how data can be used. It is also training select employees to become data translators capable of mining and analysing data in real-time before converting it into actionable insights.
The School of Analytics and Technology will comprise 14 modules which focus on data collection, classification and assessment, as well as on developing “digital competence” skills such as cybersecurity, digital disruption and artificial intelligence. The curriculum will be rolled out to all of the company’s 39,000 employees.
Guest speakers at the analytics school have already included Billy Beane – the inspiration for the film ‘Moneyball’ – who used data to transform
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