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The importance of data analysis in the agricultural sector

03 Jul 2023. 19:06
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  • SME maturity
    1. Inteligencia de Negocio (Big Data y D&A)
    Scope to digitize
    1. Support processes

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Are you part of the agricultural sector? If you want to learn how to get the most out of the data you collect, this post is for you! Don't miss it. 

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Análisis de datos en el sector agrícola

Agriculture is one of the oldest economic activities in the world. However, the emergence of new technologies has marked a turning point in the modernization of the sector. 

In this context, data analysis plays a key role in the agricultural sector, enabling informed decisions and improving the efficiency of farming operations. Through data analytics, farmers can gather accurate and detailed information on various aspects of their activity, such as weather conditions, soil quality, water and fertilizer use, and crop yields.  

Read on to understand what data analytics is, as well as the uses it can have in the agricultural sector. 


What is data analysis? 

It is the study of a series of data obtained with the aim of converting this information into resources to improve results. It is not enough to know the data; it is necessary to interpret why they are produced, what their consequences are and how they can be used to make the most of them. 

Data analysis serves to better understand the return on the efforts invested in the sales process. It also provides an in-depth understanding of customer behavior and the risks that surround SMEs to be able to make forecasts and propose possible solutions. 


Advantages for the agricultural sector 

In Spain, the agricultural sector has gone from being one of the fundamental pillars of our economy to representing only 3.15% of GDP.  

However, new technologies have been an important step in the modernization of the agricultural sector. The appearance of machinery that performs the work much more quickly and effectively than people has been an important step in the process of improving the countryside. 

In recent years, data collection and analysis have also played a key role in the industry, offering several advantages that have benefited professionals: 

  1. Helps to make better decisions. Obtaining information on, for example, the weather or customer preferences supports the development of a data-driven strategy. 

  1. Optimize resources. Identifying how crops have performed and understanding factors that influence their development, such as humidity or temperature, helps to maximize a farmer's assets. 

  1. Manage resources. Having data on resources is a great help to use only what is necessary, thus helping to reduce costs in goods such as, for example, water. 

  1. Detect pests. With regular monitoring of products, signs of diseases that may affect the crop can be identified early. Preventive measures can then be taken. 

  1. Improve quality. Analyzing data from the time products are produced until they reach the consumer can help to easily detect any unforeseen events or problems that may affect the final result. 


How can the Kit Digital help in data optimization? 

Thanks to the Business Intelligence and Analytics solution of the Kit Digital, you will be able to exploit your company's data and thus improve the decision-making process. 

Among the functionalities and services of this solution, the following stand out:  

  1. Data integration with other databases: you will have access to other databases to make comparisons. 

  1. Data storage: you will have a storage capacity of at least 1 GB per user. 

  1. Creation of structured and visual data panels: you will have customized data panels. 

  1. Data export: you will be able to export data to images or Excel documents, creating synergies and compatibility with different programs. 


The maximum amount of this aid is 4,000 euros divided into the following sections:  

  • 0 < 3 employees: €1,500 (includes 1 user). 

  • 3 < 9 employees: 2.000€ (includes 1 user). 

  • 10 < 50 employees: 4.000€ (includes 3 users). 


In summary, data optimization in the agricultural sector can improve efficiency, support data-driven decision making, reduce costs, as well as improve crop quality, among other benefits. So don't wait any longer and optimize your SME's data. 

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