We help to reveal how data can add value to a business. We have customers in different sectors that are already taking advantage of our solutions based on real time data processing, data mining and automated and deep learning stragegies (artificial intelligence) to give them a clear competitive advantage.
Observe the historical evolution of data and reveal trends for different time periods.
Represent the space-time distribution of various data and the relationships between them.
Useful information in real time of both internal and external data (social media, open data).
Automatic distribution of new data into different pre-established categories.
Forecast of the numerical value in indicators (product demand, service request, manufacturing time, etc.).
Estimation of the probability of an event (customer churn, contracting a service, purchase of a product, fraud).
Clustering of data (clients, products, etc.) that share common characteristics.
Recommendation of products to customers to maximize sales or service consumption.
Improvement of performance based on predictive models: planning, resource management, pricing, etc.
Highly skilled staff that provide top quality service to meet the specific needs of every customer.
Design structural systems adapted to the requirements of mass data processing, its integration and evolution.
With an end-to-end approach wich is agile and prioritises time-to-market.
We deliver value to our customers
Development of Big Data systems to capture, store and analyse information. Exhaustive data analysis (volume, hotspots, codification, security, etc.) as well as selection and integration of environments.
Solutions based on graph databases to represent different company data, and the relationships between them, wich implement the interfaces necessary to exploit the information stored.
Customer behaviour prediction systems based on advanced machine learning algorithms. Customer lifetime value calculation and churn models.
Personalized product recommendations through the use of advanced techniques in analytics, taking into account the relationships between articles, similarity of customers, browsing information, etc.
System of pattern recognition using Deep Leaning techniques that allow the identification and prediction, at any moment in time, of the end use of utility supplies like water.
Fraud detection and prevention models based on the identification and quantification of the risk level according to typology, as well as the analyisis of information available in both in the internal and external environment.
Identification of the critical parameters in faulty processes and development of predictive models for fault detection. Data mining by means of interactive visualization techniques.
Warnings and forecasting of air and noise quality wich uses information from weather stations and measurement sensors. Smart analysis of the historical time series data.
Contact us, we'll be happy to see how we can help you.