Syndicate Data Incorporation into Data Warehouses: A Categorization and Verification of Problems

Strand, Mattias; Wangler, Benkt; Lundell, Björn; Niklasson, Markus

doi:10.1007/978-0-387-36402-5_84

Cited by 2 publications

(10 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Organizations have problems with their initiatives on incorporating syndicate data into data warehouses (DWs) and therefore, they are not able to fully exploit the potential thereof (Strand et al, 2003 andWangler, 2004). For clarification, a DW is a: "subject-oriented, integrated, non-volatile, and time variant collection of data in support of management's decisions" (Inmon, 1996, p.33).…”

Section: Introductionmentioning

confidence: 99%

“…From a user organization perspective, these problems have been categorized and verified, whereas the supplier side of the problem, i.e. how they interoperate with the user organizations, and tensions between the suppliers and the consumers 1 , is unexplored (Strand et al, 2005). The syndicate data supplier (SDS) perspective is important, as the user organizations incorporate most of their external data from these specialized data suppliers (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Strand et al, 2003). Therefore, we present the results of an interview study towards SDSs, partly aimed at contrasting the enhanced list of syndicate data incorporation problems experienced by user organizations (Strand et al, 2005), with the viewpoints, experiences, and work routines of the SDSs.…”

Section: Introductionmentioning

confidence: 99%

“…Secondly, it extends the current body of knowledge of syndicate data incorporation into DWs, by describing tensions and collaborations between the consumers and the SDSs. Thirdly, it contributes with important details when developing a hands-on support for organizations incorporating syndicate data into their DWs (as suggested by Strand and Wangler, 2004), by including details on e.g. how they establish business relationships with their customers and to what degree the SDSs allow the user organizations to tailor the syndicate data.…”

Section: Introductionmentioning

confidence: 99%

“…However, he does not define syndicate data. Therefore, we have adopted the following definition from Strand et al (2005): "Business data (and its associated metadata) purchased from an organization specialized in collecting, compiling, and selling data, targeted towards the strategic and/or the tactical decision making processes of the incorporating organization".…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Syndicate Data Incorporation into Data Warehouses: Contrasting Consumer Problems with Supplier Viewpoints

Strand

Lundell

Interoperability of Enterprise Software and Applications

Self Cite

View full text Add to dashboard Cite

Abstract. The research reported in this paper extends current knowledge of problems related to syndicate data incorporation into data warehouses (DWs). It does so by employing an interview study towards syndicate data suppliers (SDSs). The result gives a contextualization of syndicate data incorporation problems, from a supplier perspective, by contrasting the problems experienced by user organizations. The results show that the user organizations and the syndicate data suppliers have unresolved interoperability issues. Specifically with respect to the business and knowledge layers, whereas the interoperation on the ICT-systems layer seems to been prioritized and therefore achieved a higher degree of interoperability.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Syndicate Data Incorporation into Data Warehouses: Contrasting Consumer Problems with Supplier Viewpoints

Strand

Lundell

Interoperability of Enterprise Software and Applications

Self Cite

View full text Add to dashboard Cite

show abstract

Incorporating External Data Into a BI Solution at a Public Waste Management Organization

Strand

Syberfeldt

2019

International Journal of Business Intelligence Research

Self Cite

View full text Add to dashboard Cite

Organizations are showing an increasing interest in incorporating external data into their business intelligence solutions. Such data allows for advanced analytics and enables more comprehensive and inclusive decision-making. However, external data incorporation is relatively unexplored in the literature, and scientifically published details on up-and-running BI solutions are very sparse. In addition, published literature concerning the incorporation of external data into BI solutions is often rather synoptic or rather old (originating from data warehouse related literature). Therefore, the authors present the results of an action case study at a public waste management organization, illustrating detailed aspects of external data incorporation related to the back-end of the solution such as data selection, source characteristics, acquisition technologies and frequencies, and integration approaches. Given that the external origin of the data poses specific problems that must be overcome in order to allow for successful incorporation initiatives, special attention was paid to such problems.

show abstract

Syndicate Data Incorporation into Data Warehouses: A Categorization and Verification of Problems

Cited by 2 publications

References 4 publications

Syndicate Data Incorporation into Data Warehouses: Contrasting Consumer Problems with Supplier Viewpoints

Syndicate Data Incorporation into Data Warehouses: Contrasting Consumer Problems with Supplier Viewpoints

Incorporating External Data Into a BI Solution at a Public Waste Management Organization

Contact Info

Product

Resources

About