Advanced Analytics

Discover hidden insights in your data, get real-time information and build models to predict customer behavior and characteristics.

Advanced Analytics

Advanced Analytics requires usage of models that combine statistical algorithms and / or artificial intelligence. Such algorithms use existing data to predict future values and create descriptive and predictive models.

 

Companies can use these templates to predict a wide variety of business results. For example, a telecommunications company may use natural language processing (PLN) algorithms to extract the feeling of a client in a call (transcribed voice to text) and then use machine learning to predict customer churn.

It enables organizations to identify and group similar characteristics, thereby defining profiles to deliver customized and targeted offerings and solutions.

Identification of Patterns

The corporation begins to understand the dissatisfactions, desires and needs of its consumers, creating specific offers based on patterns of consumption, location and preferences.

Customer relationship

It allows companies to optimize time and investment, avoiding delays and problems, through predictive models that indicate possible risks.

Risk management

SOLUTIONS WITH
ARTIFICIAL INTELLIGENCE

Cognitive Analysis

Create intelligent applications through the use of algorithms that listen, recognize and interpret the needs of your customers.

Machine Learning

The machine "learns" as the database grows, which makes decisions more and more precise.

IoT

Set of digital devices that operate between potential global scale networks, composed of sensors and other intelligent devices.

ChatBot

Automate processes to streamline customer service and redirect attention to most complex cases.

Big Data

Large amount of structured and unstructured data that are generated every second

DISCOVER DEEP INSIGHTS, MAKE PREDICTIONS AND GENERATE RECOMMENDATIONS TO ENHANCE YOUR BUSINESS

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