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Applied data infrastructures assessment

Applied data infrastructures assessment

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The assessment of the business models viability is performed by systematically clustering the critical design issues (CDIs) and using them to assess and balance the requirement specifications elicited in the business models analysis. In the case any requirement specification negatively impacts a critical design issue, a requirements trade-off analysis must be carried out. For instance, consider the simplistic example in which a data infrastructure must support the federation of data from external data sources and at the same time satisfy pre-defined CDIs, such as Target Users (service), User engagement (service), Interoperability (technology), and Broaden Partnership (organization). On the one hand, increased content targets engage users with the data platform as well as increase the partnership with external data providers (contributing partners). On the other hand, federating data from other datasets significantly compromises data interoperability and requires the implementation of several mechanisms to mitigate semantic mismatch. Based on such arguments, this requirement should not be satisfied at the moment and revisited at a later stage when circumstances change. The article provides examples of how to trade off requirements against the CDIs, and how to validate business models against the pre-defined critical success factors (CSFs).

Chapter Contents:

  • 10.1 Open data infrastructure case study
  • 10.1.1 Evaluation with CDIs
  • 10.1.2 Evaluation with CSFs
  • 10.1.3 Robustness check
  • 10.2 London Data Infrastructure case study
  • 10.2.1 Evaluation with CDIs
  • 10.2.2 Evaluation with CSFs
  • 10.2.2.1 Robustness check
  • 10.3 Complementary tools and techniques
  • 10.3.1 Volumetric analysis of city data
  • 10.3.1.1 Transport data
  • 10.3.1.2 Smart metering and sensing data
  • 10.3.1.3 Waste and environment
  • 10.3.2 Simulation of CDIs

Inspec keywords: Big Data; systems analysis; open systems; business data processing; smart cities

Other keywords: broaden partnership; data platform; data providers; smart cities; data interoperability; CDIs; CSFs; critical success factors; target users; applied data infrastructures assessment; critical design issues; requirement specifications; business models viability; requirement specification; user engagement; business models analysis; requirements trade-off analysis

Subjects: Business and administration; Data handling techniques

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