Global Big Data Maturity Model and its Corresponding Assessment Framework Results

ABSTRACT

Nowadays, we live in the era of Big Data. Companies have realized by now that transitioning to a datadriven business is strategic for their growth and competitiveness. To achieve that, companies should get the most value out of their data through Big Data technologies. In the previous work, we showed how maturity models are essential to assess the ability of companies to start Big Data projects and prevent eventual failures. We also explored literature and editors' offerings in this field and proposed an exhaustive maturity model that includes Methodology, a maturity domain of high importance and impact. In the present work, we aim to provide a detailed picture of the proposed global Maturity Model design by exploring the temporal domains and explaining how they evolve through time. In addition, we aim to introduce the assessment framework, a tool we made available for North African companies to be able to evaluate their Big Data maturity. Unlike the currently available models, which are usually detailed and complex, the global assessment tool is quick and easy. We enriched the assessment questionnaire with best practices, and more importantly, the assessment tool suggests a list of shortcomings that companies should avoid in order to succeed in their Big Data adoption journey. Moreover, we present the technologies used to implement the global assessment tool. We also show an example of a company's assessment results via visualizations. Furthermore, we demonstrate the importance of the methodology domain through assessment results;and we analyze which sector has mature companies and which maturity domains are more mature by industry sector. Finally, we conclude with an opening on using Multiple Criteria Decision-Making techniques to calculate companies' maturity accurate scores.