How To Get Good At Data: 5 Steps
Paper in proceeding, 2024

Data allows companies to transition towards data-driven organizations and this is, in our experience, one of the highest-priority goals that many companies have. However, despite the prominence of data and the many opportunities associated with collection, analysis and use of data, the adoption of data-driven practices is slow. In our experience, companies fail to transition from their current state to a fully data-driven approach as the transformation is perceived as so large, complex and multi-dimensional that it becomes overwhelming and therefore, impossible to achieve in one step. We address this challenge by presenting a step-by-step process for how to transition towards fully data-driven practices. Consequently, the contribution of this paper is a model in which we outline five maturity steps for evolving towards fully data-driven practices.

data practices

value modeling

data-driven development

software instrumentation

data maturity model

Author

Helena Holmström Olsson

Malmö university

Jan Bosch

Software Engineering 1

Proceedings - 2024 IEEE/ACM International Workshop on Software-Intensive Business, IWSiB 2024

32-39
9798400705717 (ISBN)

7th International Workshop on Software-Intensive Business, IWSiB 2024, held in conjunction with ICSE 2024
Lisbon, Portugal,

Subject Categories

Software Engineering

Computer Science

DOI

10.1145/3643690.3648242

More information

Latest update

9/23/2024