Data Science

Transform information into opportunities and growth for your business

Identify your need, select your use case and transform your business. Start now!

Data Science

Transform information into opportunities and growth for your business

Identify your need, select your use case and transform your business. Start now!

Data Science

Data Science is used for analyzing large volumes of information to understand patterns and carry out forecasts that can transform into valuable resources for strategy creation.

It employs the disciplines of mathematics, statistics, and computer science, incorporating techniques like Machine Learning, Data Mining, Cluster Analysis, and visualizations.

It allows organizations to make better decisions to control costs, improve profitability and, conversion rates, create customizable marketing campaigns, build recommendation systems, improve fraud detection, identify new market opportunities, increase the operational efficiency, and have greater commercial performance. In the logistics area, it finds the best routes and schedules in terms of transport, and many more features to generate a competitive advantage.

Descriptive models

Descriptive analytics uses historical business data to analyze it and turn it into useful information that allows us to answer the question: What has happened in the company?

It shows how the business is doing to date and displays different business indicators and key metrics to give you a clear view of what has happened and what is happening.

This information allows you to carry out strategies and actions for continuous improvement and developing intelligent management.

Understand the factors in the measurement and evolution of the KPIs to know the current state of the company and anticipate future problems.

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Predictive models

These are mathematical and statistical models that aim to predict future results based on past and historical data.

It helps us understand how our environment and business may evolve by extracting insights from data in the form of patterns or trends.

 The application areas are practically endless.

With these models, it is possible to predict with great certainty what will happen, finding the best route of action.

Prescriptive models

Prescriptive analytics goes beyond predicting future results; it not only anticipates what will happen and when it will happen, but also why it will happen.

These models could suggest several decisions and options about an opportunity or future risks and show the implications of each decision. It combines data (structured and unstructured), business rules, and mathematical and statistical models based on all the knowledge and techniques of descriptive and predictive analytics.

It uses different simulation and optimization techniques to show the path that is worth taking, with the aim of optimizing resources and increasing the operational efficiency.

Solutions – Application cases

Automated marketing

Recommendation systems

Demand forecasting

Customer clustering

Customer churn

Customer lifecycle

Automated marketing

Automated marketing is acquiring much more importance every day within the marketing strategy of companies as well as in the effectiveness achieved in commercial and sales processes.

 It is a very powerful solution that generates great results for a company of any size. The key points that are evaluated include the segmentation of the target audience, efficient time management by creating different campaigns and scheduling messages for future dates and times, more efficiency in lead management, tracking and follow-up of actions, optimization of resources by having a better budget management, real-time conversion, campaign spread through multiple channels (via email and social networks), having multi-channel management, and CRM integration.

Recommendation systems

Consumers today are more selective, looking for customizable experiences that capture their attention from the start.

Personal recommendations translate into improvements in customer engagement, conversion rates, revenue, and margins.

There are different application cases to offer high-quality personalized experiences to the consumer through different digital channels such as product or content recommendations, marketing communications according to customer needs and personalized search.

Demand forecasting

Demand forecasting allows estimating the sales of a product or service during a given period.

This forecast becomes a very helpful tool for planning resources in the supply chain, allows aligning the flow of sales and production operations, automating orders to suppliers, having stock control and inventory reduction, minimizing costs, and increasing profitability.

Customer clustering

Customer clustering aims to find homogeneous groups that have a similar response to certain purchasing behaviors or usage profiles.

Clustering allows you to evaluate many customer variables, such as customer profiles and behaviors, take structured or unstructured data, and analyze them as valid attributes to better understand what kind of customers your business has and what their preferences are. Therefore, custom actions can be created for each customer profile.

Customer churn

In a business environment it is well known that acquiring a new customer is more expensive than retaining a current one.

This solution predicts which customer is most likely to abandon a service or cancel a subscription with the company. It is possible to identify customers at risk and define strategies to reduce churn and increase customer retention.

Customer lifecycle

For every company, its customers are the most precious treasure and knowing their purchasing behavior and evolution, as well as their interests and experiences, is essential to optimize and maximize the company’s profitability. Understanding customer lifecycles is key to continued business success and growth.

This solution makes it possible to identify each customer process in all its stages, where the different desires and needs of the customer are analyzed, obtaining great benefits as a solution to the needs of the consumer. Profitability increases, a solid customer base is acquired, and a reduction in the customer churn rate is achieved.

Analytics in multimedia contents

Fraud detection

Anomalies detection

Intelligent searching service

Intelligent document processing

Chatbots with conversation interfaces

Analytics in multimedia contents

Multimedia assets (voice, images, and video) have great value in some fields of industry but manipulating them to obtain knowledge from them can be a long, complex and expensive task.

 With the help of machine learning (ML) and artificial intelligence (AI), it is possible to automatically tag people, scenes, logos, and locations to improve content search and identification and speed up indexing.

It is also possible to convert audio to text, add subtitles, and predefined categories, monetize, and many other features that maximize the value of this content.

Fraud detection

In a fast-paced and changing world, millions of dollars are lost to online fraud. For this reason, companies must implement timely and efficient actions to control and avoid fraud that leads them to lose money in their operations.

With this solution, customers can benefit from the value of their data by identifying patterns that indicate irregular behavior, monitoring transactions, and enforcing rules within defined thresholds. The results obtained are easily quantifiable in financial terms, which helps to show the great advantages in the operation of the company.

 

Anomalies detection

Business metrics and Key Performance Indicators (KPIs) are vital for measuring performance and tracking business progress against company goals.

With this solution it is possible to automatically identify anomalies in company data, finding the root cause of the problem and notifying or alerting the owners of the processes or metrics.

This applies to the different processes of the business value chain such as sales, inventories, project management, supplies, WEB and social networks.

Intelligent searching service

When accurate and timely information is obtained, higher levels of productivity are achieved, increasing commitment to meeting business objectives.

 With this solution it is possible to search for information with questions in natural language, obtaining a high precision result much faster and more efficient than with the keyword method, either in the thousands of documents of the organization as a service for employees, or on the website and applications, for a better customer search experience.

Intelligent document processing

All companies have thousands of documents that contain valuable information for the business. With this solution, your company can access the data contained in those documents when needed, quickly and accurately.

According to the needs of each company, it is possible to extract data and text from scanned documents regardless of whether they have been handwritten or typed.

It is also possible through Natural Language Processing (NLP), to search for information and text relationships that allow running integrated workflows.

Chatbots with conversation interfaces

Using artificial intelligence (AI) and advanced natural language models, conversational interfaces are designed and created in applications.

This solution allows you to create virtual agents and voice assistants that allow users to perform actions such as book a meeting or change a password without the need for a human agent in between.

It is also possible to give automated answers to frequently asked questions (FAQ) and improve productivity by automating basic tasks.

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