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Published on Oct 16, 2018
Syntasa has been instrumental for Lenovo's business analytics team, in simplifying the complex datasets retrieved from various sources and making them actionable through the application of customized machine learning algorithms. Their Senior Manager, Tushar Mukherjee, explains how in this video.
Tushar Mukherjee (Head of Global e-Commerce Analytics, Lenovo):
I lead the business analytics, BI, and reporting functions in our Global Analytics & Operations organization. My focus is predominantly on the e-commerce vertical, though we do a lot of incubation projects that overlap into the other business units and other areas of our business.
Another key component of my team is to delve into state-of-the-art, cutting-edge analytics projects ranging from prescriptive, predictive, to cognitive analytics, whereby we can devise new generation tools that can help drive business decisions almost in real-time.
When we talk about convergence of analytics with data science, the objective is to how we can be more proactive in solving our business problem, even before they arise.
I think Syntasa has been instrumental in simplifying the complex datasets that we retrieve from various sources and made them actionable through the application of customized machine learning algorithms.
For me, the three call-out features for Syntasa’s platform is its flexibility to incorporate any and every model that we choose to, the simplicity by which we can process the data to set up our pipeline, and then, obviously, the cutting-edge technological know-how on which we can fine-tune our models.
Kudos to the team for their engagement and the way they have partnered with us.