Contact us: +34 902 10 73 96, info@opensistemas.com

Areas of application


  • Algorithmic Trading
  • Models and Scenarios
  • Predictive Analytics
  • Descriptive Analytics

Sectors Application


  • Finance and Insurance
  • Industry
  • Public Sector
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Success

CHALLENGES

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Ability to generate stable and technically implementable models.

To obtain data with su cient quantity and quality to obtain results.

Complex project management, inability to predict results and translation of technical data in terms of business.

ico_solution

Solution

We propose a later implementation of the model in a production environment, initially dimensioning the necessary environment and its technical design.

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Benefits

Greater and deeper knowledge on the part of the organization itself about its business through the initial work of descriptive analysis carried out, as well as the data origins and their quality.

ico_results

Results

The result of the project is the generated model that predicts, approximates or classifies the objective variable in greater or lesser extent.

SOLUTIONS

After an initial cleaning of data, an analysis of the available information is performed and business needs to be addressed are de ned. Based on this rst analysis and the volume and quality of the data, a set of initial goals for the project is established. Considering the organic characteristics of the problem, similarities with other cases and bibliography obtained, a series of machine learning methodologies to be applied are identi ed and some rst approach trials are carried out. Once this initial work is done, we discard those models that o er the worst results and continue to work with the ones that o er the best results. Numerous sets of tests are made based on these tools until a de nitive model or set of models are identi ed that best approach the solution. We propose a later implementation of the model in a production environment, initially dimensioning the necessary environment and its technical design.

case6.1_cuadro_robin
case6.2_MLAlgorithms
case6.3_social-network-analysis1

RESULTS

The result of the project is the generated model that predicts, approximates or classifies the objective variable in greater or lesser extent. The model can be implemented in a production environment through a big data architecture at a later stage. In all cases, this type of project results in a greater and deeper knowledge on the part of the organization itself about its business through the initial work of descriptive analysis carried out, as well as the data origins and their quality, which is translated in turn in a greater sensitivity to them by the whole organization and the increase of its orientation to data as a strategic element of improvement.

#python #R #nlp #MachineLearning #Cortana #kmeans #pca #svm #RandomForest

CLIENTS

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