Resources Library by ANA

From stream to structure

This paper describes the use of computerised topic analysis to segment and analyse tweets by US presidential election candidates in 2016. The statistical technique used to create the topic is called Latent Dirichlet Analysis (LDA). The paper shows...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Andrew Jeavons

November 18, 2016

Artificial Intelligence algorithms

This paper will illustrate how AI algorithms on big data sources (social media, search, e-commerce, Internet of Things, Mobile data) can be developed and applied for transforming consumer insights and marketing programs. This transformation will be...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Sunando Das

Company: KANTAR TNS Malaysia

November 18, 2016

Big Data and research data

We all know companies hold more customer data than ever before, but how can we successfully marry this to primary research? What's the best way to map psychographic data (attitudes, behaviours, responses, etc.) to the data you reliably have for all...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Authors: Joe Catling, Rupesh Patel

Company: Relish Research

November 18, 2016

Data combo

In recent years, the rise of the National Front party has been a major feature of the French political landscape. Understanding the drivers behind the electoral successes of that party is now crucial for mainstream parties if they want to counter it...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Authors: Laurent Florès, Antoine Moreau

November 18, 2016

When will machines start winning?

Where does artificial intelligence have to get to, in order to start matching the human capacity to turn data into insights? Human analysis of social media delivers in-depth insight into people's feelings, intentions, drivers and barriers of usage -...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Daniel Fazekas

November 18, 2016

Datactionable!

In a typical segmentation study, segments are identified that differ in terms of their needs, attitudes or behaviours. However, these segments rarely differ on demographic or firmographic variables that exist on a customer's database(s). Thus, it is...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Michael Patterson

Company: RADIUS Global Market Research

November 18, 2016

A machine-learning app for TV show acquisitions

As The Wall Street Journal reported last year, streaming services such as Netflix and a rise in original TV programming have impacted the once-lucrative syndication market. After taking major losses on network hits, cable executives now have to...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Authors: Fabio Luzzi, Caroline Epstein

November 18, 2016

How to protect privacy in large datasets

In the digital age, market researchers are looking for new methodologies to understand consumer behaviour. Behavioural data collection through passive metering adds value to survey based data collection, as it measures objective data better because...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Authors: Simon Van Duivenvoorde, Oriol Llauradó, Ezequiel Paura

Company: Netquest

November 18, 2016

Internet banking design

Since November 2015, ING Bank in Poland has been offering a new Internet banking system, which (according to customers) is simple, intuitive and mobile friendly, and which supports the management of their daily finances. The System, which has been...

Catalogue: Big Data World 2016: Understanding People Through Smart Data

Author: Tomasz Opalski

November 18, 2016