10 ESSENTIAL CRITERIA IN EVALUATING AN ANALYTIC PROCESS AUTOMATION PLATFORM 1 Unified analytics, data science, and process automation INTRODUCTION 2 Transparent self-service diagnostic, predictive, and prescriptive analytics 3 Accessible data science, AI, and machine learning with guided learning paths THE PROVEN ACCELERANT FOR Intelligent process automation DIGITAL TRANSFORMATION 4 for automated actions The need to amplify human output and upskill people, Data discovery from all sources, automate complex and tedious business processes, and 5 diverse applications, and bots democratize access to data and analytics in one unified approach has driven the emergence of a new category of Actionable outcomes to software called Analytic Process Automation (APA). 6 applications and stakeholders APA platforms have been proven across organizations Workforce engagement via a self- globally to accelerate data-driven business outcomes 7 service, human-centered experience across every line of business and industry vertical. But not all Analytic Process Automation platforms are 8 An open community exchange for alike. In order to achieve quick wins and transformative learning and sharing business outcomes outcomes across the organization, look for these 9 ROI across top line, bottom line, ten criteria when evaluating platforms. efficiency gains, and workforce upskilling 10 Demonstrated success and solutions in every department and industry 222 ANALALANALTERYYYTIC PTIC PX ANALROCESS AROCESS AYTIC PROCESS AUUTTOMAOMATION BUTION BUUTOMAYYTION BUERS GUIDEERS GUIDEYERS GUIDE