Augmented analytics comprises a combination of AI, machine learning, natural language processing (NLP), augmented data preparation, automated analytics and visual-based data discovery. Augmented analytics is the next generation intelligence delivery model running on the platforms that automate and integrate activities such as data cleansing and data preparation, detecting data patterns and layers, linking with business workflows, building models around data clusters, and developing insights from the models to make it easier for decision makers. It is all done in a plug-and-play format without the need for command by a data scientist.

CHAPTER 1: INTRODUCTION 

CHAPTER 2: EXECUTIVE SUMMARY 

CHAPTER 3: MARKET OVERVIEW

CHAPTER 4: AUGMENTED ANALYTICS MARKET, BY COMPONENT

CHAPTER 5: AUGMENTED ANALYTICS MARKET, BY DEPLOYMENT

CHAPTER 6: AUGMENTED ANALYTICS MARKET, BY ORGANIZATION SIZE

CHAPTER 7: AUGMENTED ANALYTICS MARKET, BY BUSINESS FUNCTION

CHAPTER 8: AUGMENTED ANALYTICS MARKET, BY INDUSTRY VERTICALS

CHAPTER 9: AUGMENTED ANALYTICS MARKET, BY REGION

CHAPTER 10: COMPANY PROFILES