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Digital transformation is the way forward for all businesses. The technology is advancing at a rapid pace and the companies need to adapt to the change, not just to take advantage of the enormous opportunities it provides but even to stay relevant in this volatility, uncertainty, complexity, and ambiguity world. This study aims to define the concept of digital transformation and what it means in today’s business scenario. It helps to understand the different stages of digital maturity, identify the barriers in adopting different technologies and provide solutions to overcome those challenges.

This is a qualitative study in which opinions of the digital transformation experts were collected using a qualitative questionnaire. Natural language processing (NLP) and text mining techniques were applied along with a thorough analysis of the text to generate the results.

The study was able to uncover – what it means to be digitally transformed, different challenges an organization faces during the digital transformation journey and their potential solutions.

The existing literature on the topic is scattered and does not provide a roadmap for a company to adopt digital transformation. This study aims to fill up the gap and cover various aspects of the whole transformation process. The uniqueness of the study lies in the use of NLP techniques to perform text analytics on the data.

In particular, it is worth mentoring new and more efficient solutions that can meet the increasingly specific needs of each company, especially in food management. A business intelligence (BI) solution can help your food company better understand and manage business processes more effectively. Management information is essential for all levels of an organisation to make quick and correct decisions. However, what exactly is BI, and what can it mean for a food company?

The PRISMA stands for (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and content analysis strategy used the SLR (systematic literature review) methodology to examine 151 papers published in peer-reviewed academic journals and industry reports between 2016 and 2023.

The findings show that artificial intelligence and digitalisation are linked to the UN 2030 Agenda. BI management ranks first (66%), followed by crop and land mapping systems (40%), agricultural machinery monitoring tools (39%) and decision support systems (31%). The road to digital transformation remains extended, with the main impediments being more compatibility between enterprise systems and a shortage of expertise.

The section relating to methodological perspective adopts the PRISMA methodology for systematic review. Interoperability is easily managed by assigning qualified teams to projects. The added value of a consulting firm with extensive project management experience in the food industry is closely related to the results achieved.

BI: What exactly is it, and why a data-driven culture is essential in the food and beverage industry?