Chapter 1. Data-Driven Cultures
What does it mean to be a truly data-driven culture? What tools and skills are needed to adopt such a mindset? DJ Patil and Hilary Mason cover this topic in O’Reilly’s report “Data Driven,” and the collection of posts in this chapter address the benefits and challenges that data-driven cultures experience—from generating invaluable insights to grappling with overloaded enterprise data warehouses.
First, Rachel Wolfson offers a solution to address the challenges of data overload, rising costs, and the skills gap. Evangelos Simoudis then discusses how data storage and management providers are becoming key contributors for insight as a service. Q Ethan McCallum traces the trajectory of his career from software developer to team leader, and shares the knowledge he gained along the way. Alice Zheng explores the impostor syndrome, and the byproducts of frequent self-doubt and a perfectionist mentality. Finally, Jerry Overton examines the importance of agility in data science and provides a real-world example of how a short delivery cycle fosters creativity.
How an Enterprise Begins Its Data Journey
As the amount of data continues to double in size every two years, organizations are struggling more than ever before to manage, ingest, store, process, transform, and analyze massive data sets. It has become clear that getting started on the road to using data successfully can be a difficult task, ...