Inicio 2017-11-09T18:34:16+00:00

Who we are

AGrowingData is a consultancy firm specialized in developing Big Data and advanced analytics solutions solutions for the agri-food industry. We deploy technological solutions that help companies to turn data into knowledge, improving the decision making and giving them a competitive advantage. We offer our services to governments , co-ops, insurance companies and research institutions.

Get to know are

To increase the competitiveness and sustainability of the agri-food sector enhancing data-based decision making.
We use agile methodologies to develop efficient projects that facilitate communication and reduce costs.
A diversified team that combines a profound understanding of the agri-food industry with a high experience in innovative solutions based in Big Data and Data Science.

What we offer

Advanced Analytical

We develop machine learning models to predict the demand of clients or to estimate in advance the production or price of a given product.

Interactive maps

Probably the best tool for analyzing all the factors that affect agricultural activity.

Business intelligence

Having all the information on a simple interactive dashboard is essential to make a qualitative leap in the organization.

Remote sensing

Remote sensing methods are very useful to track vegetation (NDVI index) or to detect changes produced by environmental risks in an area.

Big Data

Big Data technologies are the solution for businesses that handle tons of data from diverse sources.


We transform your business into a data driven model that can turn data into profit and be proactive.

IT Solutions

Until now, organizations haven’t been able to get the most out of their data due to the fact their original framework could not support these massive amounts of data. However, thanks to Big Data technologies, this data can now be stored, processed and analyzed. The main Big Data technologies that we work with are:

  • Hadoop
  • Spark
  • NoSQL (MongoDB, Neo4J, Cassandra…)
Through a series of mathematical models we are able to anticipate the future. Contrary to business intelligence it is not about making decisions based on the past but to predict what will happen nexte. That is to say that we are able to answer questions such as:

  • What would happen if…?
  • What will happen next month?
  • Why is this happening?
Most of the data organizations handle is of local level. We are able to geolocate points of interest, to empower geospatial analysis to obtain business insights in terms of location. Finally, all of these data can be shown on interactive maps that can help both analysts and business users to make better decisions. The main technologies with which we work:

  • Carto
  • PostgresQL + PostGIS
  • MongoDB (geoJSON)
How to carry out a data science project?

  • DATA: What sources of data do we have? What internal and external data do I need?
  • ANALITICA DESCRIPTIVA: Analyze the data to understand what happened in the past and why.
  • MONITORIZACIÓN: What is happening now? View and track our data.
  • PREDICCIÓN: Predict what is going to happen in the future and evaluate its uncertainty.


Do you have a question?

Write us and we will help you. Your challenges are ours!

Visit us

23 Magistral Domínguez Street – 04003
Almería, Spain

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