Advanced Analytics
We analyze and learn from all types of data using Artificial Intelligence algorithms
Our goal is to understand business information from different data sources and obtain new insights that might not be accessible when using traditional reporting approaches.
Do you want to start an Advanced Analytics project?
What are Advanced Analytics?
We build models based on Artificial Intelligence algorithms and apply them to scenarios such as prediction, anomaly detection, or recommender systems. We work on the entire algorithmic spectrum: Machine Learning, Deep Learning, Reinforcement Learning, and Planning and Reasoning.
Trained models can be integrated into interactive solutions such as websites or dashboards, improving alert notification and business decision-making based on information.
Applications
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Finding data trends
Algorithms enable us to draw conclusions that help us understand reality.
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Segmenting customers into interest groups
Data helps us to know people and their interactions better.
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Suggesting new products to specific audiences
Based on available user data, we generate new audiences and improve the quality of recommended content.
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Service anomaly detection
Data analysis enables the generation of anomaly alerts before they occur.
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Incident reduction
Thanks to the knowledge provided by data and the ability to predict, we can improve the safety of infrastructures and individuals
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Improve internal or external indicators (KPIs)
Knowing how processes work and their performance permits us to measure and improve results.
How can we help each industry?
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Financial Services
Market prediction.
Anomaly analysis. Fraud detection.
Continuous improvement of KPIs.
Loan granting analysis.
Recommendation of new banking products.
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Public Services
Prediction of public transport occupancy.
Impact of large events on urban centers.
Analysis of user satisfaction with public services.
Analysis and prediction of incidents.
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Energy
Service monitoring.
Visit planning.
Consumption-based rate plan recommendation.
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Retail
Analysis and prediction of in-store and online purchases. Trends.
Optimization of stock and logistics chain.
Competitor price analysis and prediction.
Customized purchase advice.
Cart abandonment analysis.
We work with data
We identify and analyze different data sources that can be integrated with new ones. Then, we preprocess, clean, transform and tag data according to each business scenario.
The learning process starts by elaborating the model, optimizing it, and deploying it in the cloud, on-premises, or as an interactive solution.
Do you want to launch a project with us?
