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Mar 9 Smart Data Webinar: Data Science and Business Analysis – A Look at Best Practices for Roles, Skills, and Processes

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DATE: March 9, 2017 This webinar has passed. The On Demand recording will be made available within two US business days.

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

Smart Data Webinar Series

About the Webinar

Google “citizen data scientist” today and you will see about 1M results. That number is data. It may be interesting, but it is meaningless without context. Sometimes it appears that we are drowning in data from systems and sensors but starving for insights. We definitely produce more of the former than the latter, which has created demand for more powerful tools to simplify the process and lower the skills requirement for analysis. As vendors build systems to meet this demand, we hear about the coming ”democratization” of big data as more people at varying levels within organizations are empowered to find meaning and improve their own performance with data-driven insights. This is a good thing, but it does require caution.

To paraphrase Col Jessup in A Few Good Men: You want answers? You can’t handle the data.

In this webinar, we will survey emerging approaches to simplifying analysis, and discuss the benefits, dangers, and skills required for individuals and organizations to thrive in the brave new world of analytics everywhere, for everyone.

About the Speakers

Bob E. Hayes, PhD

Chief Research Officer, Appuri

Bob HayesBob E. Hayes, PhD is the Chief Research Officer at Appuri where he is responsible for directing best practices research and communicating the value of the Appuri platform. He is considered a thought leader in the field of customer experience management, Big Data, and data science. His research is focused on the intersection of analytics, the practice of data science, and customer experience / success. He shares his insights through his talks, blogs, and books (see TCE: Total Customer Experience, Beyond the Ultimate Question, and Measuring Customer Satisfaction and Loyalty).

He received his PhD in industrial-organizational psychology from Bowling Green State University, specializing in survey research and quantitative methods. He has over 20 years of consulting and research experience in enterprise and midsize companies, including Oracle, Agilent Technologies, Sophos, Virtual Instruments, Netsmart Technologies, and Genstar Capital. He has managed customer satisfaction research as an employee to Fortune 500 firms, and as an independent consultant. He has published numerous articles in both scientific and trade journals and presented research at national and international conferences on Big Data, analytics, the measurement of customer satisfaction and loyalty, employee empowerment, and employee perceptions of workplace safety.

Adrian Bowles

Founder, Storm Insights

Adrian Bowles croppedAdrian is an industry analyst and recovering academic, providing research and advisory services for buyers, sellers, and investors in emerging technology markets. His coverage areas include cognitive computing, big data / analytics, the Internet of things, and cloud computing. Adrian co-authored Cognitive Computing and Big Data Analytics (Wiley, 2015) and is currently writing a book on the business and societal impact of these emerging technologies. He has held executive positions at several consulting and analyst firms. Adrian also held academic appointments in computer science at Drexel University and SUNY-Binghamton, and adjunct faculty positions in the business schools at NYU and Boston College. He began his career with research and application development roles at IBM and GTE Laboratories. Adrian earned his BA in Psychology and MS in Computer Science from SUNY-Binghamton, and his Ph.D. in Computer Science from Northwestern University.

This webinar is brought to you in partnership with:

STORM Insights

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