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

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

June 15, 2016

The inspiration ecosystem

Unilever wished to invest in Comfort, the flagship fabric conditioner brand, to build a strong fragrance property. Ipsos UU partnered with Unilever on a unique NextGen Qual pilot that helped leveraging from across a variety of data and insight...

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

Authors: Ratna Pratik Thakar, Radhecka Roy

Company: Ipsos MRBI

June 15, 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

June 15, 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: Caroline Epstein, Fabio Luzzi

June 15, 2016

Data gumbo

We are in an amazing time for research practitioners. Not only do we have access to incredibly rich big data but also high quality, low-cost research. Yet linking the consumer behaviour in big data and sentiment from traditional primary market...

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

Author: Joseph D. Blechman

June 15, 2016

From stream to structure

One of the biggest problems any researcher is faced with today is reading. We can't read quickly enough. For numeric data there is an ocean of visualisation and analytics available, we can watch trends in 7 colours over 3 dimensions unfold on a smart...

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

Author: Andrew Jeavons

June 15, 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

June 15, 2016