Explore the words cloud of the DataBench project. It provides you a very rough idea of what is the project "DataBench" about.
The following table provides information about the project.
IDC ITALIA SRL
|Coordinator Country||Italy [IT]|
|Total cost||2˙240˙988 €|
|EC max contribution||2˙240˙988 € (100%)|
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
|Duration (year-month-day)||from 2018-01-01 to 2020-12-31|
Take a look of project's partnership.
|1||IDC ITALIA SRL||IT (MILANO)||coordinator||663˙531.00|
|2||ATOS SPAIN SA||ES (MADRID)||participant||387˙537.00|
|3||POLITECNICO DI MILANO||IT (MILANO)||participant||340˙850.00|
|4||SINTEF AS||NO (TRONDHEIM)||participant||326˙752.00|
|5||INSTITUT JOZEF STEFAN||SI (LJUBLJANA)||participant||304˙190.00|
|6||JOHANN WOLFGANG GOETHE-UNIVERSITATFRANKFURT AM MAIN||DE (FRANKFURT AM MAIN)||participant||218˙127.00|
|7||STIFTELSEN SINTEF||NO (TRONDHEIM)||participant||0.00|
Organisations rely on evidence from the Benchmarking domain to provide answers to how their processes are performing. There is extensive information on how and why to perform technical benchmarks for the specific management and analytics processes, but there is a lack of objective, evidence-based methods to measure the correlation between Big Data Technology (BDT) benchmarks and an organisation’s business benchmarks and demonstrate return on investment. When more than one benchmarking tool exists for a given need, there is even less evidence as to how these tools compare to each other, and how the results can affect their business objectives. At the heart of the DataBench project is the goal to design a benchmarking process helping European organizations developing BDT to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance. DataBench will investigate existing Big Data benchmarking tools and projects, identify the main gaps, provide a robust set of metrics to compare technical results coming from those tools. It will provide a framework to associate those technical results with the economic processes that are imperative to a company. It will provide a robust set of benchmarks to assess which tools respond best and provide the most pertinent information for organisation’s economic planning and respond to their current and emerging industrial needs. It will provide a software tool which the industrial and research community users can leverage to do this evaluation. DataBench will interact with ICT14 and 15 projects to give access to this tool and framework to leverage the Big Data benchmarking investment so far carried out in the benchmarking community, contributing to the success of the BDV-PPP. The project envisions continuous interaction with the leading BDT suppliers and industrial user communities, and has a strong relationship with the BDV cPPP.
|DataBench Architecture||Documents, reports||2020-01-14 09:48:20|
|Initial Evaluation of DataBench Metrics||Documents, reports||2020-01-14 09:45:00|
|Assessment of technical usability, relevance, scale and complexity||Documents, reports||2020-01-14 09:46:51|
|Industry Requirements with benchmark metrics and KPIs||Documents, reports||2020-01-14 09:46:52|
|Project Fiche||Documents, reports||2019-10-28 17:54:34|
|Analysis of actual and emerging needs of industrial users and use case mapping||Documents, reports||2019-10-28 17:54:38|
|Data collection results||Other||2019-10-28 17:54:20|
|Dissemination and Liaison report period 1||Documents, reports||2019-10-28 17:54:22|
|DataBench Toolbox â€“ Alpha including support for reusing of existing benchmarks||Demonstrators, pilots, prototypes||2019-10-28 17:54:09|
|Preliminary Benchmarks of European and industrial significance||Documents, reports||2019-10-28 17:54:27|
|Project Web Portal and Dissemination Materials||Websites, patent fillings, videos etc.||2019-10-28 17:54:10|
|Dissemination and Liaison plan||Documents, reports||2019-10-28 17:54:07|
|Data collection plan||Documents, reports||2019-10-28 17:54:20|
Take a look to the deliverables list in detail: detailed list of DataBench deliverables.
|year||authors and title||journal||last update|
Pernici, Barbara; Francalanci, Chiara; Geronazzo, Angela; Lucia, Polidori; Stefano, Ray; Leonardo, Riva; Arne JÃ¸rgen Berre,; Todor, Ivanov
Relating Big Data Business and Technical Performance Indicators
published pages: , ISSN: , DOI:
|XV Conference of the Italian Chapter of AIS 2018||2019-08-30|
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The information about "DATABENCH" are provided by the European Opendata Portal: CORDIS opendata.