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DataBench SIGNED

Evidence Based Big Data Benchmarking to Improve Business Performance

Total Cost €


EC-Contrib. €






Project "DataBench" data sheet

The following table provides information about the project.


Organization address
address: VIALE MONZA 14
city: MILANO
postcode: 20127
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website
 Total cost 2˙240˙988 €
 EC max contribution 2˙240˙988 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
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
7    STIFTELSEN SINTEF NO (TRONDHEIM) participant 0.00


 Project 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.


List of deliverables.
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 – 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
List of publications.
2018 Pernici, Barbara; Francalanci, Chiara; Geronazzo, Angela; Lucia, Polidori; Stefano, Ray; Leonardo, Riva; Arne Jørgen 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.

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