Towards Next Generation BI Systems: The Analytical Metadata Challenge

Jovan Varga; Oscar Romero; Torben Bach Pedersen; Christian Thomsen

doi:10.1007/978-3-319-10160-6_9

Towards Next Generation BI Systems: The Analytical Metadata Challenge

Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

23 Citations (Scopus)

Abstract

Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end users to gain access to relevant data for their decision making processes. Although evidently needed, there is no clear picture about the necessary metadata artifacts, especially considering user support requirements. Therefore, we propose a comprehensive metadata framework to support the user assistance activities and their automation in the context of next generation BI systems. This framework is based on the findings of a survey of current user-centric approaches mainly focusing on query recommendation assistance. Finally, we discuss the benefits of the framework and present the plans for future work.

Original language	English
Title of host publication	Data Warehousing and Knowledge Discovery : 16th International Conference, DaWaK 2014 Munich, Germany, September 2-4, 2014 Proceedings
Number of pages	13
Volume	8646
Publisher	Springer Publishing Company
Publication date	2014
Pages	89-101
ISBN (Print)	978-3-319-10159-0
DOIs	https://doi.org/10.1007/978-3-319-10160-6_9
Publication status	Published - 2014
Event	16th International Conference on Data Warehousing and Knowledge Discovery - München, Germany Duration: 2 Sept 2014 → 4 Sept 2014 Conference number: 16

Conference

Conference	16th International Conference on Data Warehousing and Knowledge Discovery
Number	16
Country/Territory	Germany
City	München
Period	02/09/2014 → 04/09/2014

Series	Lecture Notes in Computer Science
ISSN	0302-9743

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title = "Towards Next Generation BI Systems: The Analytical Metadata Challenge",

abstract = "Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end users to gain access to relevant data for their decision making processes. Although evidently needed, there is no clear picture about the necessary metadata artifacts, especially considering user support requirements. Therefore, we propose a comprehensive metadata framework to support the user assistance activities and their automation in the context of next generation BI systems. This framework is based on the findings of a survey of current user-centric approaches mainly focusing on query recommendation assistance. Finally, we discuss the benefits of the framework and present the plans for future work.",

author = "Jovan Varga and Oscar Romero and Pedersen, {Torben Bach} and Christian Thomsen",

year = "2014",

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isbn = "978-3-319-10159-0",

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note = "16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK ; Conference date: 02-09-2014 Through 04-09-2014",

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Varga, J, Romero, O, Pedersen, TB & Thomsen, C 2014, Towards Next Generation BI Systems: The Analytical Metadata Challenge. in Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014 Munich, Germany, September 2-4, 2014 Proceedings. vol. 8646, Springer Publishing Company, Lecture Notes in Computer Science, pp. 89-101, 16th International Conference on Data Warehousing and Knowledge Discovery, München, Germany, 02/09/2014. https://doi.org/10.1007/978-3-319-10160-6_9

Towards Next Generation BI Systems: The Analytical Metadata Challenge. / Varga, Jovan; Romero, Oscar; Pedersen, Torben Bach et al.
Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014 Munich, Germany, September 2-4, 2014 Proceedings. Vol. 8646 Springer Publishing Company, 2014. p. 89-101 (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Towards Next Generation BI Systems

T2 - 16th International Conference on Data Warehousing and Knowledge Discovery

AU - Varga, Jovan

AU - Romero, Oscar

AU - Pedersen, Torben Bach

AU - Thomsen, Christian

N1 - Conference code: 16

PY - 2014

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N2 - Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end users to gain access to relevant data for their decision making processes. Although evidently needed, there is no clear picture about the necessary metadata artifacts, especially considering user support requirements. Therefore, we propose a comprehensive metadata framework to support the user assistance activities and their automation in the context of next generation BI systems. This framework is based on the findings of a survey of current user-centric approaches mainly focusing on query recommendation assistance. Finally, we discuss the benefits of the framework and present the plans for future work.

AB - Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end users to gain access to relevant data for their decision making processes. Although evidently needed, there is no clear picture about the necessary metadata artifacts, especially considering user support requirements. Therefore, we propose a comprehensive metadata framework to support the user assistance activities and their automation in the context of next generation BI systems. This framework is based on the findings of a survey of current user-centric approaches mainly focusing on query recommendation assistance. Finally, we discuss the benefits of the framework and present the plans for future work.

U2 - 10.1007/978-3-319-10160-6_9

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T3 - Lecture Notes in Computer Science

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BT - Data Warehousing and Knowledge Discovery

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Y2 - 2 September 2014 through 4 September 2014

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Varga J, Romero O, Pedersen TB , Thomsen C. Towards Next Generation BI Systems: The Analytical Metadata Challenge. In Data Warehousing and Knowledge Discovery: 16th International Conference, DaWaK 2014 Munich, Germany, September 2-4, 2014 Proceedings. Vol. 8646. Springer Publishing Company. 2014. p. 89-101. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-10160-6_9

Towards Next Generation BI Systems: The Analytical Metadata Challenge

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