Select Page

DATA SCIENCE

We apply statistical and machine learning techniques to add intelligence to data, and bring a competitive advantage to your business.

OUR VALUE

Why Panel?

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.

%

Data Engineers

%

Service Manager

%

Data Scientists

%

Data Analysts

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:

    Time series • Text analysis and classification • Machine Learning models (regression, decomposition into principal components, clustering, decision trees, random forests ...) • Neural networks • Real-time image and video processing

    All of this will be based on cross-validation techniques, boosting, ensembling, etc ... and validated, among other things, by residue analysis.

    PRESCRIPTIVE ANALYSIS AND OPTIMIZATION


    After descriptive data analytics and predictive analytics, we will approach prescriptive analytics to make recommendations, for example, on:

    Correct sizing of resources • Reallocation of resources • Correction of commercial campaigns • Adaptation of marketing messages • Adjustment of sales prices

    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.

      B

      AREA

      Profiling
      Acquisition
      Loyalty
      Wandering
      Shopping basket
      Intentions
      Rotation

      B

      LOGISTICS SECTOR

      Shipping
      Storage
      Merchandise position
      Store location
      Provisioning
      Routes optimization

      B

      MARKETING

      Products and Services
      Contents
      Advertising
      Brand image
      Prices
      Coverage
      Demand location
      Behavior

      B

      OPERATIONS

      Processes
      Maintenance
      Fraud
      Consumption
      Quality
      Risk
      Credit
      Liquidity

      B

      RESOURCES

      processes
      Technological
      Time
      Spaces
      Suppliers

      BE INSPIRED BY OUR USE CASES

        INSIGHTS

        NEWS AND TRENDS

          Data & Analytics

          Machine Learning: an overview

          The application of these machine learning algorithms has become fashionable in all sectors of society and more and more uses are being made of this technology. What really makes Machine Learning such an important discipline today?

          Read

          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.