{"title":"Strategies for data analytics projects in business performance forecasting: a field study.","authors":"Maël Schnegg, Klaus Möller","doi":"10.1007/s00187-022-00338-7","DOIUrl":null,"url":null,"abstract":"<p><p>Data analytics is applied in various fields, including business performance forecasting, but companies struggle with its implementation. Following a cross-sectional field study approach, we make two contributions. First, we elaborate on the central role played by the head controller in generating trust in analytics solutions and thus, making the project successful. Second, we identify three patterns in the way companies plan, implement, and then use data analytics in the context of business performance forecasting. The two successful patterns are the ones that start with a limited but tangible objective (either in term of information precision, or rapidity of processing) that can be expended in a second time.</p>","PeriodicalId":45634,"journal":{"name":"Journal of Management Control","volume":"33 2","pages":"241-271"},"PeriodicalIF":2.1000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212708/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00187-022-00338-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/4/4 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Data analytics is applied in various fields, including business performance forecasting, but companies struggle with its implementation. Following a cross-sectional field study approach, we make two contributions. First, we elaborate on the central role played by the head controller in generating trust in analytics solutions and thus, making the project successful. Second, we identify three patterns in the way companies plan, implement, and then use data analytics in the context of business performance forecasting. The two successful patterns are the ones that start with a limited but tangible objective (either in term of information precision, or rapidity of processing) that can be expended in a second time.
期刊介绍：
Journal of Management Control (JoMaC) is an international journal concerned with the formal, information-based routines and procedures managers use to maintain or alter patterns in organizational activities. Particular emphasis is placed on operational and strategic planning and control systems and the processes and techniques. JoMaC was founded in 1990 as a German journal and has a strong reputation as a dedicated academic journal open to high-quality research on all aspects of management control. The journal covers such topics as: the role of management control systems in the management of companies and non-profit organizations; the design and use of planning systems for production, marketing, logistics and other fields of use; the interaction between strategic and operational aspects of management control; the role of management accountants and other internal and external service providers, such as financial accountants, auditors and consultants; change and the sustainability of management control systems. Journal of Management Control especially welcomes empirical and analytical papers reflecting both methodological rigor and practical relevance that make a significant contribution to literature. The journal is interested in literature reviews and meta-analyses showcasing and promoting current academic research. Additional materials relating to papers of interest to scholars (e.g. coding sheets, questionnaires, data, etc.) can be downloaded from our website in order to stimulate future research.Officially cited as: J Manag Control
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