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Analytics transforms your data into value

Data are a source of valuable information, but to uncover its hidden value, data have to be explored, mined and mashed with other data sets. Computing power and appropriate technologies are available today to process the data, regardless of their volume.

Data analytics illustration

Analytics transforms data into insights. It lets you describe a situation, make a dignostic, predict the future, find the best way to act. It helps you answer to the following types of questions:

  • What happened?
  • How or why this happened?
  • What will happen in the future?
  • What should we do?

Analytics detects hidden patterns, relationships and weak signals in your data. The revealed information provide a better knowledge of the reality and allow to make predictions. This leads to smarter decisions, increased efficiency and better performance.

Analytics target all
company departments:

  • Marketing and sales,
  • Customer care,
  • Production,
  • Purchasing,
  • Supply chain,
  • Finance,
  • Human ressources,
  • Others.

Among Analytics
applications, we find:

  • Product improvment,
  • Segmentation,
  • Lead scoring,
  • Locations of Point of sales,
  • Prediction of churn,
  • Prediction of failures,
  • Supply chain optimization,
  • Anomaly detection,
  • Others.

Advanced analytics refers to a broad range of techniques, it spans from basic statistics and mathematics to data mining and sophisticated Machine Learning and Artificial Intelligence algorithms. It provides the necessary tools to extract value from data.

Discover more on analytics applications by clicking on the following links :