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Publications (10 of 58) Show all publications
Berndtsson, M., Lennerholt, C., Larsson, P. & Svahn, T. (2019). A Blueprint for Training Future Users of Self-Service Business Intelligence. Business Intelligence Journal, 24(1), 30-38
Open this publication in new window or tab >>A Blueprint for Training Future Users of Self-Service Business Intelligence
2019 (English)In: Business Intelligence Journal, ISSN 1547-2825, Vol. 24, no 1, p. 30-38Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Data Warehousing Institute, 2019
Keywords
self-service business intelligence
National Category
Computer and Information Sciences
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-17278 (URN)
Available from: 2019-06-24 Created: 2019-06-24 Last updated: 2019-09-04Bibliographically approved
Berndtsson, M., Forsberg, D., Stein, D. & Svahn, T. (2018). Becoming a data-driven organisation. In: : . Paper presented at 26th European Conference on Information Systems (ECIS2018), Portsmouth, United Kingdom, June 23-28, 2018.
Open this publication in new window or tab >>Becoming a data-driven organisation
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Organisations seeking competitive advantage in the age of big data often adopt the strategy of becoming data-driven. The paper describes research in progress with an organisation pursuing this strategy. Initial results from literature study and preliminary interviews are outlined, including a two layer factor model and prototype maturity model. The next research steps are also explained.

Keywords
Analytics, Data-Driven Organisations, Business Intelligence
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-16398 (URN)2-s2.0-85061304326 (Scopus ID)
Conference
26th European Conference on Information Systems (ECIS2018), Portsmouth, United Kingdom, June 23-28, 2018
Projects
BISON
Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2019-02-22Bibliographically approved
Rose, J., Berndtsson, M., Mathiason, G. & Larsson, P. (2017). The advanced analytics Jumpstart: definition, process model, best practices. Journal of Information Systems and Technology Management, 14(3), 339-360
Open this publication in new window or tab >>The advanced analytics Jumpstart: definition, process model, best practices
2017 (English)In: Journal of Information Systems and Technology Management, ISSN 1809-2640, E-ISSN 1807-1775, Vol. 14, no 3, p. 339-360Article in journal (Refereed) Published
National Category
Information Systems, Social aspects
Research subject
Information Systems; Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
urn:nbn:se:his:diva-14768 (URN)10.4301/S1807-17752017000300003 (DOI)
Projects
Big Data Fusion (BISON)
Available from: 2018-02-22 Created: 2018-02-22 Last updated: 2019-02-14Bibliographically approved
Gudfinnsson, K., Strand, M. & Berndtsson, M. (2015). Analyzing Business Intelligence Maturity. Journal of Decision Systems, 24(1), 37-54
Open this publication in new window or tab >>Analyzing Business Intelligence Maturity
2015 (English)In: Journal of Decision Systems, ISSN 1246-0125, E-ISSN 2116-7052, Vol. 24, no 1, p. 37-54Article in journal (Refereed) Published
Abstract [en]

Business intelligence has fundamentally changed how companiesconduct their business. In literature, the focus has been on volume-operationcompanies that provide services to millions of customers. In contrast, complexsystemscompanies have fewer customers and pursue customer needs byproviding more customized products and services. This paper presents the resultsof a case study conducted at a complex-systems company, with the overall aim toidentify how complex-systems companies may take advantage of businessintelligence. A framework was used to measure business intelligence maturity ofthe company. In addition, we also explain the current maturity level of the casecompany,based on critical factors for success adopted from the literature. Indoing so, we also contribute on important details regarding factors that must beconsidered by organizations, in order to leverage their analytical capability.Finally, we also propose topics that need to be further investigated, in order toincrease current knowledge regarding BI usage and maturity in complex-systemscompanies.

Place, publisher, year, edition, pages
Taylor & Francis Group, 2015
Keywords
Business Intelligence, Business Analytics, BI Maturity, Complex-Systems companies
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-10933 (URN)10.1080/12460125.2015.994287 (DOI)000212817900004 ()2-s2.0-84924251992 (Scopus ID)
Available from: 2015-05-13 Created: 2015-05-13 Last updated: 2019-03-04Bibliographically approved
Berndtsson, M., Admyre, M. & Strand, M. (2014). A Fleet Management System Based on Complex Event Processing. In: Gloria Phillips-Wren, Sven Carlsson, Ana Respício, Patrick Brézillon (Ed.), DSS 2.0 – Supporting Decision Making with New Technologies: . Paper presented at IFIP WG 8.3 and SIGDSS Open Conference “DSS 2.0 – Supporting decision making with new technologies”, 2-5 June 2014, University Pierre and Marie Curie (UPMC), Campus Jussieu, Paris, France (pp. 241-252). IOS Press
Open this publication in new window or tab >>A Fleet Management System Based on Complex Event Processing
2014 (English)In: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício, Patrick Brézillon, IOS Press, 2014, p. 241-252Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IOS Press, 2014
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 261
National Category
Information Systems Other Computer and Information Science
Research subject
Technology; Information Systems
Identifiers
urn:nbn:se:his:diva-9403 (URN)10.3233/978-1-61499-399-5-241 (DOI)000350220100022 ()2-s2.0-84902262524 (Scopus ID)978-1-61499-398-8 (ISBN)978-1-61499-399-5 (ISBN)
Conference
IFIP WG 8.3 and SIGDSS Open Conference “DSS 2.0 – Supporting decision making with new technologies”, 2-5 June 2014, University Pierre and Marie Curie (UPMC), Campus Jussieu, Paris, France
Available from: 2014-06-10 Created: 2014-06-10 Last updated: 2019-03-04Bibliographically approved
Gudfinnsson, K., Berndtsson, M. & Strand, M. (2014). Taking Advantage of Business Intelligence in a Complex-Systems Environment. In: Gloria Phillips-Wren, Sven Carlsson, Ana Respício & Patrick Brézillon (Ed.), DSS 2.0 – Supporting Decision Making with New Technologies: . Paper presented at IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014 (pp. 265-276). IOS Press
Open this publication in new window or tab >>Taking Advantage of Business Intelligence in a Complex-Systems Environment
2014 (English)In: DSS 2.0 – Supporting Decision Making with New Technologies / [ed] Gloria Phillips-Wren, Sven Carlsson, Ana Respício & Patrick Brézillon, IOS Press, 2014, p. 265-276Conference paper, Published paper (Refereed)
Abstract [en]

Business intelligence (BI) has fundamentally changed how many companies conduct their business. In literature, focus has been on volume-operation companies that provide services to millions of customers. In contrast, complex-systems companies have fewer customers and pursue customer needs by providing more customized products and services. This paper presents the results at a case of a complex-systems company with the overall aim to see how a complex-systems company has taken advantage of BI. In addition, a framework was used to measure the BI maturity of the company. Literature also emphasis that complex-system companies may benefit from adopting BI applications from volume-operations companies, but the results indicate that there may be a difference in the importance of BI tools, which in turn may negatively influence such cross-category adoptions.

Place, publisher, year, edition, pages
IOS Press, 2014
Series
Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 261
Keywords
Business Intelligence, Business Analytics, complex-systems, volume-operations, analytic maturity
National Category
Information Systems
Research subject
Information Systems
Identifiers
urn:nbn:se:his:diva-10135 (URN)10.3233/978-1-61499-399-5-265 (DOI)000350220100024 ()2-s2.0-84902288789 (Scopus ID)978-1-61499-398-8 (ISBN)978-1-61499-399-5 (ISBN)
Conference
IFIP TC8/Working Group 8.3 conference, Université Pierre et Marie Curie, Paris, France, June 2014
Available from: 2014-10-27 Created: 2014-10-27 Last updated: 2019-03-05Bibliographically approved
Berndtsson, M. & Mellin, J. (2009). Active Database, Active Database (Management) System. In: Ling Liu, M. Tamer Özsu (Ed.), Encyclopedia of Database Systems: (pp. 27-28). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Active Database, Active Database (Management) System
2009 (English)In: Encyclopedia of Database Systems / [ed] Ling Liu, M. Tamer Özsu, Springer Science+Business Media B.V., 2009, p. 27-28Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2009
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-7035 (URN)10.1007/978-0-387-39940-9_502 (DOI)978-0-387-49616-0 (ISBN)978-0-387-35544-3 (ISBN)978-0-387-39940-9 (ISBN)
Available from: 2013-02-06 Created: 2013-01-23 Last updated: 2018-01-11Bibliographically approved
Berndtsson, M. & Mellin, J. (2009). Active Database Coupling Modes. In: Ling Liu, M. Tamer Özsu (Ed.), Encyclopedia of Database Systems: (pp. 33-35). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Active Database Coupling Modes
2009 (English)In: Encyclopedia of Database Systems / [ed] Ling Liu, M. Tamer Özsu, Springer Science+Business Media B.V., 2009, p. 33-35Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2009
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-7037 (URN)10.1007/978-0-387-39940-9_503 (DOI)978-0-387-49616-0 (ISBN)978-0-387-35544-3 (ISBN)978-0-387-39940-9 (ISBN)
Available from: 2013-02-06 Created: 2013-01-23 Last updated: 2018-01-11Bibliographically approved
Berndtsson, M. & Mellin, J. (2009). Active Database Execution Model. In: Ling Liu, M. Tamer Özsu (Ed.), Encyclopediia of Database Systems: (pp. 35-36). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Active Database Execution Model
2009 (English)In: Encyclopediia of Database Systems / [ed] Ling Liu, M. Tamer Özsu, Springer Science+Business Media B.V., 2009, p. 35-36Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2009
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-7044 (URN)10.1007/978-0-387-39940-9_509 (DOI)978-0-387-49616-0 (ISBN)978-0-387-35544-3 (ISBN)978-0-387-39940-9 (ISBN)
Available from: 2013-02-06 Created: 2013-01-24 Last updated: 2018-01-11Bibliographically approved
Berndtsson, M. & Mellin, J. (2009). Active Database Knowledge Model. In: Ling Liu, M. Tamer Özsu (Ed.), Encyclopedia of Database Systems: (pp. 36-37). Springer Science+Business Media B.V.
Open this publication in new window or tab >>Active Database Knowledge Model
2009 (English)In: Encyclopedia of Database Systems / [ed] Ling Liu, M. Tamer Özsu, Springer Science+Business Media B.V., 2009, p. 36-37Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2009
National Category
Computer and Information Sciences
Research subject
Technology
Identifiers
urn:nbn:se:his:diva-7045 (URN)10.1007/978-0-387-39940-9_508 (DOI)978-0-387-49616-0 (ISBN)978-0-387-35544-3 (ISBN)978-0-387-39940-9 (ISBN)
Available from: 2013-02-06 Created: 2013-01-24 Last updated: 2018-01-11Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8362-3825

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