May 2024
Intermediate to advanced
292 pages
9h 7m
English
Content preview from Augmented Analytics
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Chapter 1. The Business Transformation
As we write this book in 2024, the business landscape is marked by increasing adoption of digital technologies and practices, often referred to as “business transformation” or “industrial transformation.” This transformation is not the first one. So far, the world has seen three industrial transformations, each driven by new technology: steam power (beginning in roughly the 1760s), electricity and mass production (from the mid-1800s to the 1910s), and computerization (from the late 20th century to the present). This chapter will explain what’s different about the current transformation compared to previous ones and why we believe that augmented analytics (AA) is so well positioned to solve the problems that many businesses currently face.
Augmented analytics simply means providing people with access to technology that gives them the analytical leverage they need to accomplish the business task at hand in a better way. If you’ve heard this term before, you might associate it with automated forecasting in Tableau dashboards; that’s not what we’re doing here. AA requires a much more holistic approach to really take off. We will dive deeper into defining AA in Chapter 3.
Before we do that, let’s zoom out a bit and explore the external driving forces that make using AA a necessity for staying competitive in today’s world.
Why Businesses Are Transforming
We’re currently in the computerization and information age, and many experts believe that ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.