International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Big Data is becoming one of the most important technology trends. It presents a potential that is radically changing the way organizations use their information to be closer to customers by organizing in a way that benefits from the customer experience and transforms their business models.
Although Big Data is an ever-climbing trend in terms of industry, its meaning is still hidden by many conceptual ambiguities. The term is used to describe a wide range of concepts: from technological ability to storage, aggregation, data processing and finally their generation. In this paper the focus is at Big Data, because they are the technology of the future and in one way or another, they are affecting every field of industry. Furthermore, companies are increasingly trusting the possibility of using data as a valuable business asset to benefit and bring a competitive advantage compared to other companies. In the paper is presented also a SWOT Analysis that is conducted about Big Data information showing the strengths, weaknesses, opportunities, and risks that they carry. Also are presented the challenges of Big Data Technologies for the future. At the end of the paper, there are conclusions and recommendations about the topic.

Agriculture is a sector in Bulgaria that contributes significantly the GDP. In the past 20 years steady trends for increasing the arable land, while the number of agricultural holdings decreases. The enlargement of the size of the agricultural holdings is strongly associated with the need for implementation of the advances of information and communication technologies, Industry 4.0 and artificial intelligence. The present paper presents the development of an integrated Customer Relationship Management (CRM) system for agricultural applications. The developed CRM system implements the following functions: customer data management, management of contracts for clients, management of agricultural land, management of processing costs, production revenue management. For the development of the presented integrated CRM system, the needs of the agricultural producers and the work with their clients have been studied in detail.