Harvinder

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.

I had the opportunity to speak at another great Google Cloud Next conference. For those of you who couldn’t make it here are the highlights from #GoogleNext19 London: Cloud Code…

I spoke to CloudPro recently about Moneysupermarket’s migration to the cloud and our use of Google Cloud Storage. Read the article here.

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;

In 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.

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…

I recently spoke to Cliff Saran, Managing Editor of Computer Weekly on the importance of data in combatting coronavirus and DataOps as a way to build better data pipelines. Read…

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?

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…

I join Paul Laughlin for the 1st ever episode of Customer Insight Leader podcast to talk about DataOps, my new book, Data Products & tips for your career. Here it…