Leading Indicators of Big Data Success

What are some of the early signals and pitfalls in the path of success with big data? This talk will focus on identifying and uncovering these both from the CDO’s viewpoint and from the vendor's point of view. As the volume and complexity of data has grown, traditional techniques designed to select and deploy a big data product and technology are not viable any more. We will lay out important questions and assessments required to avoid the most common obstacles in maximizing the value and ROI from big data investments. The talk will also provide two key operational metrics for CDO’s to track their organization’s big data maturity and capabilities.

Kumar Srivastava has spent his career building big data and analytics products as part of a diverse and broad application set such as social networking, online security, identity, reputation and trust management, online fraud and abuse, online search and advertising, digital platforms, mobile applications, monetization services and IoT technologies. He currently leads product and strategy at the Bank of New York Mellon Silicon Valley Innovation Center focusing on Big Data, Analytics, Machine Learning, APIs and Apps. Srivastava holds several patents and regularly writes thought leadership articles about the convergence of big data, analytics, cloud, mobile and digital and its impact on and opportunity for entrepreneurship and innovation. He has been published in Forbes, Wired, Entrepreneur and other publications and currently writes actively on CIO.com. Srivastava is the author of two books titled “Survival Guide for the API Product Manager” and “Digital Disruptions”.