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Success stories – Big Data & Analytics: Aguas Magallanes – Real-Time Sentiment Analysis in Social Networks

Big Data & Analytics
Big Data & Analytics

Real-Time Sentiment Analysis in Social Networks

Success Story: Big Data & Analytics

About Aguas Magallanes

Aguas Magallanes delivers sanitary services, contributing to improve the life quality of the clients, continually improving the processes, with the participation of the collaborators and under compliance of the Integrated Management System for Quality, Environment, and Safety and Occupational Health.

Voice of the Customer

For the first line management at Aguas Magallanes it has been the best and most efficient model to deliver solutions to our clients, at the most convenient costs.

The attitude and quality of the staff from Morris & Opazo has allowed us to execute projects with high quality for the final product, development standards focused on the processes and problems of our organization. Custom solutions have been an answer to the processes where commercial solutions have not.

Fernando Javier Valdés Álvarez, Corporate Systems Submanager.

The problem

The challenge at this stage is to provide a new tool to perform sentiment analysis of the Twitter social network to enrich the current communication channels with the client.

Proposed solution

Our solution is in the implementation of a Big Data workflow for the collection, storage, processing and consume/visualization of data that allows, through the use of artificial intelligence technologies, the sentiment analysis of the social network Twitter.

The benefits

Scalability

Capability and flexibility required to identify, create, and address business opportunities.

Agility

Automated process that can efficiently and effectively analyze the real-time data from the social network.

Outcome(s)

The resulting solution provides a most powerful tool for the company to keep track of what’s going on with their social media ecosystem, and take immediate action to prevent and react to the many different situations that can come up, while leveraging cost efficiencies from the AWS services.

Would you like to know what your customers think of your company in social networks nearly in real-time?

Write us!

Posted in »Big Data Analytics, Success Stories

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