MoneySuperMarket uses BigQuery and Google Kubernetes Engine to build a scalable data analytics platform that speeds up development and helps its marketing stay relevant to its customers’ needs.
Harvinder
Harvinder
Harvinder is Chief Data Scientist at Moneysupermarket.com. Before joining Moneysupermarket.com, Harvinder was Insight Director for Tesco Clubcard at Dunnhumby. In his spare time, Harvinder is a technology enthusiast, Liverpool FC fan, and enjoys writing about himself in the third person. This website is used to share interesting stories on Data Science, Customer Insight, and Big Data. Harvinder can also be found on uk.linkedin.com/in/harvindersatwal and at twitter.com/HarvinderSAtwal
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On Monday, we welcomed Harvinder Atwal, Head of Data Strategy and Advanced Analytics at Moneysupermarket.com, who spoke to us about Machine Learning, challenges, solutions and experiences. I don’t think Moneysupermarket needs much of an introduction, but for those who are a little confused: as Harvinder said, they’re “not the meerkat guys, so don’t call asking whether Oleg or Alexander are on their way!” You will, however, recognise Moneysupermarket.com from their memorable adverts, such as the ones below;
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Media
No comparison: How MoneySuperMarket is using Google Cloud to turn their data into competitive differentiators
by Harvinderby HarvinderIn 2014, with growing traffic numbers and increasing popularity, Moneysupermarket Group found that its on-premises data warehouse was limiting its ability to scale quickly. As a result, it shifted to the cloud to mitigate the costs of storage, but still kept hold of its existing on-premises analytics solution. But as its data needs continued to grow, Moneysupermarket Group realized it needed to shift its analytics to the Google Cloud as well for the flexibility, scalability and ease of use it offers.
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Paul Laughlin of DataInsightLeaders.com has written a review of my book, Practical DataOps: Delivering Agile Data Science at Scale. Find out why he recommends the book to all data leaders…
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A recent Forrester report found that only 22% of companies see a return on investment (ROI) from data science. Given the tantalising opportunities that data science, artificial intelligence (AI) and advanced analytics promise business, why do most initiatives fail?
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I’ve put together a Data Science in business reading list from books I’ve found both practical and inspirational. Getting started (and keeping up) with the field of data science can…
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