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Activity Number: 335
Type: Invited
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Marketing
Abstract #318273 View Presentation
Title: Predictive Analytics in Internet Development
Author(s): Alex Gilgur and Fred Xue*
Companies: Google/Alphabet and Google/Alphabet
Keywords: Innovation Diffusion ; Bass Model ; Addressable Market ; Forecasting ; Predictive Analytics ; Time Series
Abstract:

Started in the 1950s as a proof-of-concept project to enable sending data between two universities, Internet evolved into the ocean of data, overlapping, and sometimes even threatening the existence of, stores, books, and even universities. The latter trends have been contained by taking advantage of the opportunities the provides, making people's life fuller, decisions better informed, and providing invaluable assistance in education, business development, healthcare, banking, and hundreds of other aspects of human life.

Making Internet available to billions of users is a big undertaking bringing together not only IT and Network engineering know-how, but also Power and Civil engineering expertise, and the entire local infrastructure. It requires not only innovative marketing ideas, but also a careful cost/benefit analysis.

In this presentation, we describe a methodology for data-driven analysis and forecasting Internet penetration. It is based on our proprietary model of addressable market and can also be used in ranking and grouping products and innovations by their ability to be accepted in a given market, and markets by their readiness for a given product portfolio.


Authors who are presenting talks have a * after their name.

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