Practical DataOps: Delivering Agile Data Science at Scale

© Harvinder Atwal 2020

H. AtwalPractical DataOpshttps://doi.org/10.1007/978-1-4842-5104-1_10

10. The DataOps Factory

Harvinder Atwal¹ 

(1)

Isleworth, UK

 

Data science and analytics are in a broken state. A 2016 KPMG study of 2000 global data analytics decision-makers revealed that only 10% believe they excel in data quality, tools, and methodologies, and 60% say they are not very confident in their analytical insights.¹ For every organization that finds measurable success from data science and analytics, several others struggle with data quality, the ability to get work into production, and generate meaningful ROI on investments in people or technology. DataOps is a cure for many of the problems facing data science and analytics today. By adopting ...