Are you ready to leverage your big data platform investment? Because “knowing where” matters, Pitney Bowes has provided the most advanced geocoding and location intelligence solutions to organizations that demand the highest level of spatial insights. Many organizations need essential capabilities that cleanse and validate customer data and then augment them with additional with location-based attributes. If you imagined that this power requires large computing muscle, then join us to learn how Pitney Bowes is leveraging Hadoop frameworks and its expertise in geo-processing to solve this problem to rapidly and iteratively calculate massive amounts of geospatial data. Solutions for big data frameworks allow users with tremendous investments in data assets to turn these data into business information faster.
In this webinar, you will learn
Speakers
Joe Francica, Managing Director, Location Intelligence, Pitney Bowes
Tim McKenzie, General Manager, Big Data Solutions at Pitney Bowes
Rose Winterton, Global Product Director, Location Intelligence Emerging Technology and User Experience
Who should attend
GIS professionals, users, managers, directors, engineers, developers, and analysts; enterprise solution architects and engineers; business analysts; business intelligence solutions users needing location analytics; current and prospective MapInfo Pro users; users of competitive desktop mapping products.
Follow Up Links
Learn more: http://www.pitneybowes.com/us/location-intelligence.html
IoT: Mine data from IoT to optimize business, disrupt industries, http://www.pitneybowes.com/us/campaign/internetofthings.html
Power of Place: Reveal opportunities in Big Data with location intelligence, http://www.pitneybowes.com/us/forbespowerofplace.html
Video: How to identify and locate big opportunities hidden in big data with Location Intelligence, https://youtu.be/4nXzwgwwasI?list=PLXfkp0P1sdP1fQYrcsIhs7QmOXZdCD8zz
Conference: See Pitney Bowes at the Strata+Hadoop Conference, Sept 27-29, New York https://conferences.oreilly.com/strata/hadoop-big-data-ny