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Author: Marketa Smolnikova

Affiliation: Department of Information Technologies, Prague University of Economics and Business, W. Churchill Sq. 4, Prague, Czech Republic

Keyword(s): Data Literacy, Data Strategy, Competency Model, Strategic Management.

Abstract: Data literacy and problem-solving with data has been a hot topic in the academic, government as well as business world for several years. However, the current research hasn’t provided companies and organizations with a specific or easy-to-follow guide how to enhance data literacy of the most proliferated business roles. This paper aims to map what different business roles require to do with data in their work tasks and to propose a way how to improve data literacy of these roles by focusing on the right competences. To fulfil these aims, authors analyzed job tasks of the most generic business roles to derive their objectives regarding the use of data and gathered feedback from businesses via a preliminary web-based survey. Consequently, mapping of the distinct data literacy competencies and priority work objectives of the selected job roles serves as a manual where to focus training efforts to enhance company’s data literacy. This theoretical framework could be further improved by a real-time automatic evaluator of the survey respondents’ inputs which would deliver recommendations towards priority data literacy competencies customized to a respondent’s response. (More)

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Paper citation in several formats:
Smolnikova, M. (2022). Building a Data Literate Business Workforce. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 221-230. DOI: 10.5220/0011587600003335

@conference{kmis22,
author={Marketa Smolnikova.},
title={Building a Data Literate Business Workforce},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS},
year={2022},
pages={221-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011587600003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KMIS
TI - Building a Data Literate Business Workforce
SN - 978-989-758-614-9
IS - 2184-3228
AU - Smolnikova, M.
PY - 2022
SP - 221
EP - 230
DO - 10.5220/0011587600003335
PB - SciTePress

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