# Trends of digitalization and adoption of big data & analytics among UK SMEs: Analysis and lessons drawn from a case study of 53 SMEs

arXiv: https://arxiv.org/abs/2002.11623 · HTML: https://mlsanity.com/paper/2002.11623/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Feb 2020.

## Built on by (most cited first, 1 of 1)

- [Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs](https://mlsanity.com/paper/2305.15454/) (2023)

## Abstract (arXiv)

Small and Medium Enterprises (SMEs) now generate digital data at an unprecedented rate from online transactions, social media marketing and associated customer interactions, online product or service reviews and feedback, clinical diagnosis, Internet of Things (IoT) sensors, and production processes. All these forms of data can be transformed into monetary value if put into a proper data value chain. This requires both skills and IT investments for the long-term benefit of businesses. However, such spending is beyond the capacity of most SMEs due to their limited resources and restricted access to finances. This paper presents lessons learned from a case study of 53 UK SMEs, mostly from the West Midlands region of England, supported as part of a 3-year ERDF project, Big Data Corridor, in the areas of big data management, analytics and related IT issues. Based on our study's sample companies, several perspectives including the digital technology trends, challenges facing the UK SMEs, and the state of their adoption in data analytics and big data, are presented in the paper.