Resources Library by ANA

Dear {Diary_Name}:

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Catalogue: Congress 2019: The Global Data & Insights Summit

Authors: André Torales, Felipe Ferraz, Nick Nomm

Companies: INSITUM, Facebook

September 8, 2019

iFactor

Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.

Catalogue: Fusion 2019

Authors: Charlotte Zaepfel, Julie Hennes, Mathilde Guinaudeau

Company: Ipsos MRBI

November 10, 2019

Augument intelligence: Data mining with AI

This paper intends to uncover a little regarding what AI is doing and how as consultants, researchers, marketers and sales practitioners, we can take advantage of AI to help augment our intelligence- working ability- and move our own as well as our...

Catalogue: Fusion 2019

Author: Bradley Taylor

November 10, 2019

Neural patterns

Two factors are necessary for a method to be useful in a variety of country settings. An analysis technique to understand information available is required that is robust and not constrained. And, data of a comparable format and scope of measurement...

Catalogue: ESOMAR/JMA/ARF Conference 1995: Triad 2000

Author: Bruce Grey Tedesco

June 15, 1995

LAMDA

Customers are increasingly demanding, and successful companies need to design and introduce new ways to offer customer value. However, the process is not complete until they design control systems, provide a support decision tool able to identify and...

Catalogue: ESOMAR Congress 2001: Marketing Transformation

Authors: Núria Agell, Lluis Martinez-Ribes, Mònica Casabayó, Juan Carlos Aguado

September 23, 2001

Artificial intelligence and expert systems

The authors propose to identify reasons for the apparent lack of Marketing Research applications. Examples of areas where AI and ES could contribute to increase considerably the efficiency of Marketing Research will then be developed. Finally, the...

Catalogue: ESOMAR Congress 1986: Anticipation And Decision Making

Authors: Juergen Schwoerer, Jean-Paul Frappa

June 15, 1986

How SONOS understands drivers of NPS by using AI better, faster, cheaper

Text data is an untapped goldmine: By using text categorizations, AI can predict NPS better than with closed questions. NLP analytics had been used for auto-coding with great precision. Results shaped SONOS' product development strategy.

Catalogue: Congress 2018

Authors: Frank Buckler, Dennis Brosnan

September 23, 2018

What market research can learn from Alexa & Siri

As researchers, providing us access to data from new sources like customer data platforms, voice control, and all corners of the internet could be considered the equivalent of sticking a kid in a candy store! But are we leveraging this? This paper...

Catalogue: Asia Pacific 2019

Authors: Young Ham, Jason Dodge, Rebecca Southern

Company: Kantar

May 22, 2019

Optimising ROI on social media

Up to 85% of brand generated social media posts are wasted. With digital advertising approaching 50% of all advertising expenditure, we need to go beyond clicks and likes as a measure of ROI on social media expenditure. Through machine learning, a...

Catalogue: Asia Pacific 2019

Author: Colin Ingram

Company: Kantar

May 22, 2019