The majority of organizations fail to create business value from their investments in data. Most implementations are either high cost IT projects, local applications that are not built to scale for production workflows or laptop data insight projects that never impact customers.
Harvinder
Harvinder
Harvinder is Chief Data Officer at Evri. Before joining Evri, Harvinder was Chief Data Scientist at Moneysupermarket.com 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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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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Advances in machine learning algorithms and an explosion in software tools have ushered in a transformative period for business, science and medicine. Machine learning is now one of the hottest topics in the World. However, there is far more to successful implementation of Machine Learning than just creating great models. Algorithms are just the tip of the iceberg when it comes to creating business and customer value from data.
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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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Media
Case Study: Helping customers find the right price with Google Cloud Platform
by Harvinderby HarvinderMoneySuperMarket 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.
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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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I had a great time discussing the key principles of DataOps with Catherine King from Business of Data. You can hear it here: https://www.business-of-data.com/podcasts/harvinder-atwal-moneysupermarket-dataops
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