Geospatial Analytics

Big Data and Analytics Roundtable

June 4, 2015: 6:30 PM - 8:30 PM

Join Armand Ruiz Gabernet and Mikhail Lakirovich of IBM SPSS as they explain geospatial analytics and demonstrate unique use cases.

Where

Gleacher Center
Room 600
450 City Front Plaza Dr
Chicago, Illinois

Event Details

Organizations in every industry are turning to new data types and new forms of analysis to remain competitive. Advancements in geospatial analytics are rapidly transforming science, society and decision-making. Geospatial data, also referred to as location data or spatial data, enables businesses to add the context of time and location to traditional data, so they can see changes over time and exactly where those changes are taking place. Geospatial data can be instrumental in helping organizations answer critical questions such as:

  • What are customers buying and where are they buying it?
  • What infectious diseases are on the rise?
  • Where are high unemployment or crime rates?
  • Who are your competitors and where are they located?

Through augmenting and enhancing the rigor of predictive models by adding new dimensions to the data, geospatial analysis creates value for uses across many business functions, from marketing to operations, and has applications in just about any industry. The geospatial conversation at the Chicago Booth Big Data & Analytics Roundtable will:

  • Introduce the topic of geospatial analytics
  • Discuss relevant use cases that highlight the value of geospatial analytics
  • Show a hands-on application of geospatial analytics for predictive modeling and visualization

Cost

$10

Registration

Register Online

Deadline: 6/4/2015

Program

6:30 PM-7:00 PM: Networking w/hors d'oeuvres and cash bar

Speaker Profiles

Armand Ruiz Gabernet (Speaker)
Product Manager, IBM SPSS
http://www.ibm.com/software/analytics/spss/

Armand Ruiz Gabernet is a product manager for programmability and extensibility with IBM SPSS. Armand has traded up life in the French Riviera where he worked at IBM in the Ecosystem Development Team. Armand's work is focused on extending the flexibility of R to SPSS Modeler by making it accessible to business users and on creating powerful and interactive visualizations to be deployed alongside predictive models. He holds a Masters Degree in Telecommunications Engineering from Universitat Politecnica de Catalunya.

Mikhail Lakirovich (Speaker)
Product Marketing Manager, IBM SPSS
http://www.ibm.com/software/analytics/spss/

Mikhail Lakirovich is a product marketing manager for predictive and prescriptive analytics at IBM SPSS. Mikhail is a Booth grad (class of 2013) and is currently pursuing a MS in Predictive Analytics from DePaul University. Mikhail focuses on creating the value proposition, messaging and content for the predictive products and supports the go-to-market strategies for the portfolio.

Questions

Roger Moore, '92 
Senior Principal, Sagence
312-543-1319