We apply statistical and machine learning techniques to add intelligence to data, and bring a competitive advantage to your business.
Data Science is one of the most strategic technologies for organizations. It allows us to predict with an extraordinary degree of precision how our products will sell in the next quarter, improve the shopping experience for our customers, control the churn rate, or identify and prevent future incidents in our systems.
In Panel we have a team of experts in Data Science that will accompany you in the implementation of this type of advanced techniques to optimize and strengthen your business processes. A multidisciplinary, dimensioned and qualified team that will help you use new tools and skills to increase your analytical capacity in real time, enhancing decision-making.
In addition, we work with an agile and transversal methodology to all our services, and with state-of-the-art specialized products.
CAPABILITIES AND SERVICES
WHAT DO WE OFFER YOU?
We do both the explorationand descriptive analysisof the data, such as creation and validation of predictive models, relying on techniques of Machine Learning and Deep Learning, so that your decisions are supported by your data. In addition, we integrate our solutions with other areas and services such as RPA, IoT or Software development, that will help you to enrich the data or decisions.
INFORMATION DISCOVERED IN YOUR DATA
We will analyze your data to discover: Peaks and Valleys Correlations between variables Patterns in the data Anomalous behaviors Inappropriate use of resources
BUSINESS PREDICTIONS AND RECOMMENDATIONS
We will perform the predictive analysis of the data by selecting the most appropriate algorithm to separate the signal from the noise, and adjust the prediction as much as possible, using for this purpose: Time series Text analysis and classification Machine Learning models (regression, decomposition into principal components, clustering, decision trees, random forests ...) Neural networks Processing of images and videos in Real Time All this will be based on techniques of cross-validation, boosting, ensembling, etc ... and validated, among other things, by analysis of residues.
PRESCRIPTIVE ANALYSIS AND OPTIMIZATION
After descriptive data analytics and predictive analysis, we will approach prescriptive analysis to make recommendations on, for example: Correct sizing of resources Reallocation of resources Correction of commercial campaigns Adaptation of marketing messages Adjustment of sales prices
WHERE DO WE APPLY IT?
Discover the possible areas of Data Science application with Panel.
Products and Services
BE INSPIRED BY OUR USE CASES
NEWS AND TRENDS
Can we help you?
If you are in a project of change or technological transformation, tell us about your challenge.
The change starts with TI.