Analytic Process Automation: The Convergence of Analytics, Data Science and Process AutomationDigital transformation success is elusive when organizations fail to converge the three pillars that accelerate analytics outcomes: Data, Processes, and People
A recent McKinsey survey found 8 out of 10 respondents said their organizations have embarked on a digital transformation journey in the last five years. However, only one third of these initiatives succeeded. There was a common theme amongst those that failed; these organizations embarked on their digital transformation journey with a tendency towards looking inward when evaluating their people, processes, data, and technologies. Those that succeeded looked outside.
Report Snap Shot
The proliferation of augmented capabilities within analytics, business intelligence, and data science and machine learning products is making once distinct markets collide.
The collision facilitates stronger, more complete and more effective links between data and analytic investments, practices, processes and key business outcomes.