Chief Data and Information Officer, Precisely
Amy O’Connor is the Chief Data and Information Officer at Precisely. In this role, she leads the global IT and cloud operations, data analytics, and information security teams responsible for delivering a world-class digital experience as the company continues its rapid growth in data integrity.
Prior to Precisely, Amy was Chief Data and Information Officer at Cloudera, and has held leadership roles at Nokia and Sun Microsystems.
Amy has extensive experience using data-driven approaches to align IT services with user needs. She has expertise in enterprise business applications, data engineering and data science, information security, employee productivity tools, and network and cloud management.
Amy earned her BS in Computer Science and Electrical Engineering at the University of Connecticut School of Engineering and her MBA. from the D’Amore-McKim School of Business at Northeastern University.
Getting to know...
Amy, you’re really passionate about using data to innovate and problem-solve, where did this passion ignite from?
My passion for data evolved in parallel with our ability to store and process the large amounts of data we are creating. Just a little over a decade ago we considered a terabyte of data to be a lot, analytics was basically structured queries, and business intelligence consisted of a report. Now we use words like quintillion and exabyte to describe size, machine learning to describe analytical methods, and artificial intelligence to describe decision making. And fundamentally, my passion for data stems from my belief in our human ability to create new ways to consume that data towards the end goal of continuing to improve life.
Amy, what are your thoughts on the need to balance innovation with privacy?
Privacy affords us freedom, choice and safety. None of us would appreciate innovation that jeopardizes that privacy. Yet most of us crave and even demand innovation in our lives. This conflicting desire for innovation and the need for privacy dictates a delicate balance in the data world. We must always consider the appropriate use of data and consent in any analytical application. With that consideration, innovation can thrive. Without it, innovation will die.