Data Intelligence

Facilitate your data analysis to grow your business!


Nowadays, all companies are required to manage an increasingly large volume of data at a faster pace, taking different types of data from multiple sources while ensuring it is relevant to maximise value.

Are you aware of the opportunities that arise from data analysis but having a recurrent problem with data collection, quality, and even cross-matching to produce relevant information?
Do you want to analyse your data to predict your customers’ behaviour or stock levels?


Implementing a big data approach in a company is a step-by-step process. With its resources and expertise, POST can help you in each important step towards becoming a data-driven business:

Appreciating the data at your disposal and its value (Data Discovery)

Extracting information and highlighting recurrent patterns (Data Mining)

Perfecting predictive models using artificial intelligence and machine learning (Data Science)

Making the most of your data with our Big Data platform, applying three solutions adapted to each level of maturity:

Data As A Service

You outsource your analytics to POST, sending a list of specifications

Software As A Service

Automated Machine Learning – you have access to no-code/low-code AI resources to apply your algorithms yourself

Platform As A Service

You independently develop your own algorithms based on your data, and call on POST’s expertise where necessary


The main features covered by POST’s Data Lake allow you to:

  • Import structured, semi-structured and unstructured data from different sources
  • Enrich your data with external or open-source sets of data
  • Store sets of bulky and mixed data in raw format for a more in-depth analysis
  • Build a data dictionary facilitating the use and sharing of stored data
  • Establish technical and business rules to ensure the quality of your data
  • Authorise a secure connection and traceability of connections
  • Transform data collected for analysis and decision-making by applying data science
  • Develop artificial intelligence (AI) models through user-friendly interfaces to increase prediction and prescription
  • Present data and results on dashboards for senior management


  • Save time: Gain direct access to a turnkey platform for your Data Science, to multidisciplinary expertise and algorithms as well as tried-and-tested analytical models on our platform
  • Improve performance: In marketing, for example, a data analytics approach can be used to improve the targeting of campaigns for customers or prospects, to make more appropriate offers, assess the risk of them getting away or the opportunity to strengthen relations.

    A data analysis approach can also be used to predict financial and security risks, diagnose illnesses, improve processes, manage stocks, etc.
  • Digitalise your products



Our experts are here to help