Customer success stories

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Pfizer

Pfizer Inc is an American global pharmaceutical corporation headquartered in New York City. It is among the world’s largest pharmaceutical companies.

We combine Cognitive Computing, Big Data and Natural Language Processing with MeaningCloud to enrich Pfizer’s business intelligence. Pfizer collects and processes information from multiple sources in 20 different languages.

Our system transforms that information into competitive advantages. We are currently developing projects for Pfizer in 30 different countries.

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World Bank Group

The World Bank Group is a multinational organization, part of the United Nations system, which provides financial and technical assistance to developing countries.

The World Bank needed to leverage the information contained in several tens of millions of documents in various languages about its funds, projects, initiatives and countries where it operates. MeaningCloud carried out a very deep tagging of those documents, based on the understanding of their meaning, which facilitates their use in document management and corporate search systems, enabling the Group’s transition to a knowledge-based organization.


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Telefonica

Telefónica, S.A. is a Spanish multinational broadband and telecommunications provider with operations in Europe, Asia, and North, Central and South America.

We worked for Telefónica to develop a social dashboard for emergency services, which could analyze and organize information shared on social networks (initially Twitter) before, during and after an emergency. From a functional point of view, this entails:

  • Collecting interactions (tweets) related to incidents in a given geographical area.
  • Classifying them according to the type of incident (concentrations, accidents, natural disasters…)
  • Identifying the phase in the incident life cycle (alert or pre-incident, incident or post-incident)

Download Telefonica’s customer case.

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Carrefour

Carrefour is a French multinational corporation and one of the world’s leading retailers.

Carrefour is interested in the opinions, perceptions and preferences of its customers about a wide variety of products. The company uses MeaningCloud to analyze unstructured customer feedback in a variety of channels: surveys, panels, interviews, contact center conversations. MeaningCloud categorizes and extracts very deep insights from those contents, and publishes them through an online tool for consumption by Carrefour’s executives and decision making.


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Le Parisien

Le Parisien is a French daily newspaper covering both international and national news, and local news of Paris and its suburbs.

They have integrated MeaningCloud’s APIs into their new corporate content management system to embed information extraction and content organization and enrichment capabilities.

Audiense

Audiense (formerly SocialBro) is the leading vendor of Twitter marketing tools, and they need to process massive amounts of tweets per second.

They integrated MeaningCloud APIs to analyze user-generated content to infer their demographic profile and aspect-based sentiment toward specific brands. The insights gained have been a demographic+psychographic profiling of Twitter users, to define segments and better target online marketing campaigns for their customers.

Download Audiense’s customer case.

ING

This leading bank needed to process unstructured customer feedback across multiple channels (potential volume: tens of thousands of verbatims per month) in a fashion integrated with their existing CX management platform.

They used MeaningCloud APIs to categorize according to predefined themes (products, channels), identify brands/products/competitors… and assess the sentiment related to those. The results: avoid manual codification, detect new issues, and understand the reason behind numerical scores.

Download ING’s customer case.

Unidad Editorial

Unidad Editorial is one of the biggest media groups in Spain, with mastheads such as El Mundo, Marca, and Expansión.

They have integrated MeaningCloud’s APIs into their new corporate content management system to embed information extraction and content organization and enrichment capabilities. Thus, editors can tag, classify and relate their pieces, while clients receive personalized content according to their preferences. The result has been an improvement in their offering’s quality and greater audience engagement and satisfaction.