Big Social Data Analytics: Branding Algorithms, Predictive Models, and Dashboards (Big Data Analytics)


 

Abstract:

This project addresses an urgent and real need for Danish companies: How to extract meaning facts, actionable insights, and valuable advantages from combining social media data (facebook, twitter, linked in, pinterest, instagram, blogs etc) with a company’s in-house data (web analytics, eshop logs, CRM, ERP etc). Specifically, this project seeks to build a big data analytics solution that will allow a Danish company to integrate, analyze and decide on its social media data and business process data via state-of-the-art dashboards that incorporate predictive models and cutting edge formal models and brand parameter algorithms.

Type:

Private (National)

Funder:

Industriens Fond

Department:

Department of IT Management

Status:

Current

Start Date:

22-04-2015

End Date:

25-04-2018

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