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Evidence Based Big Data Benchmarking to Improve Business Performance

Objective

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.

Field of science

  • /natural sciences/computer and information sciences/software
  • /social sciences/economics and business
  • /natural sciences/computer and information sciences/data science/big data

Call for proposal

H2020-ICT-2017-1
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

IDC ITALIA SRL
Address
Viale Monza 14
20127 Milano
Italy
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 663 531,25

Participants (6)

ATOS SPAIN SA
Spain
EU contribution
€ 387 537,50
Address
Calle De Albarracin 25
28037 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
POLITECNICO DI MILANO
Italy
EU contribution
€ 340 850
Address
Piazza Leonardo Da Vinci 32
20133 Milano
Activity type
Higher or Secondary Education Establishments
STIFTELSEN SINTEF

Participation ended

Norway
EU contribution
€ 0
Address
Strindveien 4
7034 Trondheim
Activity type
Research Organisations
INSTITUT JOZEF STEFAN
Slovenia
EU contribution
€ 304 190
Address
Jamova 39
1000 Ljubljana
Activity type
Research Organisations
JOHANN WOLFGANG GOETHE-UNIVERSITATFRANKFURT AM MAIN
Germany
EU contribution
€ 218 127,50
Address
Theodor W Adorno Platz 1
60323 Frankfurt Am Main
Activity type
Higher or Secondary Education Establishments
SINTEF AS
Norway
EU contribution
€ 326 752,50
Address
Strindvegen 4
7034 Trondheim
Activity type
Research Organisations