News and Events

in4mation insights to launch Signal Spotting Trend Predictions™ (SSTP™) at MADS West and will share validation cases

Publicly available Social Media data contains information that can help with trend detection and understanding evolving need states. The problem is that the data, like the life it reflects, is very messy. People use social media for all sorts of purposes; exchange of useful information is probably not the biggest. We will show our approach to arriving at data that is “research grade.” We will also demonstrate some of the quantitative approaches that are possible when the data is cleaned up. Social Media data can then complement, and for some categories and services, replace Google Trends as a means of understanding evolving consumer tastes.

For more information, please see the link to the conference:

https://informaconnect.com/marketing-analytics-and-data-science-west/agenda/1/?stream=2#track-3-analytics_making-a-quantitative-science-out-of-very-messy-data