Industry Leader eBay Discusses Work With Data Analytics Platforms

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Case Study: Senior Product Manager at eBay discusses open source platforms, challenges and success within the data analytics landscape, ahead of his presentation at The Big Data Innovation Summit, Boston.

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The platforms and technologies to store and analyze vast amounts of data have gotten way better in the open source

Predictive analytics, big data and customer insights are some of the most important elements for companies to concentrate on today. We have seen several examples of businesses being developed through use of data, with Facebook, Google and Amazon all reaching their multi-billion dollar valuations thanks to having both huge amounts of data, and also the capability to use it in a predictive capacity.

It is the need for this capability that has seen eBay purchase SalesPredict acquisition, an Israeli startup specializing in predictive analytics. The reported aim of this is to help with creating better buyer recommendations, improved UX and better understanding of customer behaviour by the company.

The importance of predictive analytics platforms at eBay and across the wider business landscape is something that something that Arun Karthick Manoharan knows first-hand as Senior Product Manager at eBay. It is something that he will be discussing during his presentation at the Big Data Innovation Summit in Boston on September 8 & 9, which will be looking at the challenges and opportunities within the current data landscape.

Arun will be discussing something he is passionate about and something that has become increasingly important within data - open source platforms. When asked about how he thought they would develop in the coming years, Arun claimed ‘the platforms and technologies to store and analyze vast amounts of data have gotten way better in the open source. Hadoop is now the defacto data platform for storing big data. We are also seeing a lot of momentum in messaging, streaming and stream processing using Kafka, Storm and Spark, especially for machine learning workloads.'

In addition to new platforms being used, Arun is also likely to discuss the way companies are going to be using data in the future and what technologies are going to be impacting it, 'Over the next 5 years, I think there will be a lot of work done in democratizing data and starting to see real business impact using data and we will also start to see products developed using artificial intelligence.'

He will be one of over 80 speakers discussing the future of big data at the Big Data Innovation Summit in Boston that also includes tracks on data-driven product design, strategy and machine learning, amongst others. For more information on the event or to register for the summit, please visit

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Amy Duce
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