The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.
If you own an auto mechanics business, you know that tools and equipment are key to your business success. Without the right tools, your mechanics cannot perform routine tasks, test modern automobile computerized systems or serve customers. The same holds true for any other type of business. Your team needs the right tools and equipment to perform routine tasks and to analyze and solve problems.
The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’. If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. Let’s take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.
