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Menukin, O, Mandungu, C, Shahgholian, A and Mehandjiev, N (2023) Guiding the integration of analytics in business operations through a maturity framework. Annals of Operations Research. ISSN 0254-5330
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Abstract
The analytics function is growing in importance as the digitisation of business operations and markets leads to the generation of ever-increasing amounts of data. Analysing this data in a manner aligned with company priorities and structures can generate value through supporting effective decision-making, rapid product innovation, supply chain visibility and other aspects of intra- and inter-company operations. To guide the growth we derive a novel maturity framework focused on driving the Analytics-Business alignment, covering a number of diverse organisational facets such as data, leadership support, processes, data management, governance, technology and people. It differentiates itself by using a firm theoretical foundation and providing guidance for analytics capability development instead of simply diagnosing the existing maturity level. To guide development, it distinguishes between two aspects of maturity – a “state” aspect, which is used to assess the present situation in an organisation, and a “management” aspect, which evaluates management attitude in order to establish the next stage of analytics growth. The framework has been implemented in a web-based tool and its utility has been demonstrated by obtaining feedback from 64 managers from a variety of sectors, who have praised its ability to integrate diagnosis of the current situation with guidance on the next steps necessary to develop analytics maturity.
| Item Type: | Article |
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| Uncontrolled Keywords: | 01 Mathematical Sciences; 08 Information and Computing Sciences; 15 Commerce, Management, Tourism and Services; Operations Research |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Liverpool Business School |
| Publisher: | Springer |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 09 Oct 2023 12:00 |
| Last Modified: | 09 Oct 2023 12:00 |
| DOI or ID number: | 10.1007/s10479-023-05614-w |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/21697 |
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