Paul Lilford is Tableau’s senior director of product management. A self-described data enthusiast and geek, Paul has more than 25 years of experience in enterprise performance management (EPM), business intelligence (BI), data warehousing, OLAP, and analytics. He is also an in-demand speaker on analytics and data democratization. Prior to Tableau, Paul was director of EPM and BI at United Healthcare, where his team rolled out analytics technology to thousands of business users across the enterprise. Paul also spent 10 years at Hyperion Solutions, working with technology including HP, Teradata, Unisys, SPSS, IBM, and others. Paul holds a B.Sc. in business administration from Northeastern University in Boston.
Modern Analytics – A blueprint for the future
Tableau is honored to be asked to present the keynote for the Intelligent Business track at the Philadelphia AI Event. Paul Lilford, Senior Director of Product Management will offer up for consideration Tableau’s view on the past, present, and future of where Modern Analytics/Business Intelligence is heading and what components are needed in organizations that want to leverage the immense power of this new paradigm. Visual is critical to solving the big data challenge (As a planet we only analyze .5% of the worlds data), we provide a common business face for all and use visual to break down the technical barriers to progress and data driven analytical insight. For Data Science, we are not looking to replace the data scientist, just like we do not look to replace any subject expert. We want to maximize their time in their chosen area of expertise (Finance, HR, Accounting, Data Science, IT, etc…). We want data science to be more accessible for more, it allows a visual way to communicate, collect new business needs, and refine models. We believe the only way to succeed in modern analytics is to embrace self-service and visual analytics, to empower an entire workforce to maximize their time, and collaborate by leveraging data assets of all types.
We will explore how the sheer volume of data is reducing how much can be analyzed within the current organizational structure. A “big-data” strategy is useless without the ability analyze the data you’re capturing. As companies add/improve data strategies to store this data, there must be an associated addition/improvement in the ability to broaden the analysis of this data. Just as data “Volume, Variety and Velocity” require modern architectures to support analysis, it is a requirement of modern analytic tools to support data scientists and non-data scientists alike as the need for more data analytics grows to a broader and broader audience.
Some of the key topics will include Data Access Strategy, how to drive a framework that scales, data certification, building trust in the organization and real world examples of how small changes can lead to large gains for the business. Finally, we will provide customer success stories and use cases from within Comcast, as well as from Tableau’s other Enterprise customers – including examples of visual analysis of big data making complicated analysis much more available and consumable to roles of all types.