Grab, On-demand Transportation and Mobile Payments Service in Southeast Asia, Selecting Iguazio

iguazio announced that Grab, in on-demand transportation and mobile payments service in Southeast Asia, has selected its Unified Data Platform to accelerate innovation and boost its competitive edge in a market that serves more than 600 million consumers.

The Unified Data Platform deployed at Grab – which facilitates more than 3 million rides per day – is being used for a variety of data monetization and operational efficiency objectives.

“Ride hailing is more than just an app – there’s a lot going on in the background that leads to great experiences for both the passenger and driver,” said Ditesh Gathani, director of engineering, Grab. “Grab’s business thrives because of our ability to manage a continuous stream of data that facilitates real-time matching, booking, payment and location services. iguazio will enable us to continue offering new innovative services at a faster time to market.”

By selecting Unified Data Platform, Grab is innovating variety of applications, such as:
• Driver incentives to determine driver bonuses in real-time, by analyzing and increasing driver effectiveness, the number of runs during peak driving times and rider satisfaction.
• Maximize driver profits while reducing passenger wait times by optimizing driver the decision-making process using advanced real-time supply and demand heatmaps.
• Surge pricing optimization which correlates passenger demand data with external data sources, such as news, weather and social media.

“Grab is a great example of a client that benefits from the iguazio Unified Data Platform to the fullest,” said Asaf Somekh, CEO, iguazio. “iguazio provides Grab with unique value by enabling continuous analytics and event-driven applications while eliminating the complexity of Grab’s data pipeline.“
 
Grab uses iguazio’s platform in conjunction with Amazon Web Services (AWS). While Grab continues to send and analyze some data in the AWS cloud, it will now rely on iguazio for real-time processing and analysis of its most time-sensitive requirements.