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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.

Programme(s)

H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

ICT-17-2016-2017 - Big data PPP: Support, industrial skills, benchmarking and evaluation

Call for proposal

H2020-ICT-2017-1

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

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

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Participants (6)

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ATOS SPAIN SA

Spain

EU Contribution

€ 387 537,50

POLITECNICO DI MILANO

Italy

EU Contribution

€ 340 850

STIFTELSEN SINTEF

Norway

INSTITUT JOZEF STEFAN

Slovenia

EU Contribution

€ 304 190

JOHANN WOLFGANG GOETHE-UNIVERSITATFRANKFURT AM MAIN

Germany

EU Contribution

€ 218 127,50

SINTEF AS

Norway

EU Contribution

€ 326 752,50

Project information

DataBench

Grant agreement ID: 780966

Status

Ongoing project

Start date

1 January 2018
End date

31 December 2020

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 2 240 988,75
EU contribution

€ 2 240 988,75

Coordinated by:

IDC ITALIA SRL

Italy

Project information

DataBench

Grant agreement ID: 780966

Status

Ongoing project

Start date

1 January 2018
End date

31 December 2020

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 2 240 988,75
EU contribution

€ 2 240 988,75

Coordinated by:

IDC ITALIA SRL

Deliverables

Documents, reports (6)

Preliminary Benchmarks of European and industrial significance

Preliminary Benchmarks of European and industrial significance will provide a first assessment of the value and economic relevance of the EU industry sectors using and developing BDT technologies and of the industrial significance of the performance parameters measured by the BDT benchmarks.

Dissemination and Liaison plan

This Deliverable will provide a detailed schedule of the communication and dissemination activities planned, their targets and the communication channels, as well as the Liaison plan to establish working relationship with the ICT 15 and 15 projects and other relevant projects/communities.

Data collection plan

Data collection plan will present a detailed plan of data collection activities, industries and projects considered, information sources and data collection methodologies.

Project Fiche

General description of the project, partners and plan for public dissemination.

Dissemination and Liaison report period 1

This Deliverable will describe the results of the dissemination and liaison activities in the first 18 months of the project and will provide an update of these activities planned for period 2. It will contain record of all events, dissemination materials, scientific papers and links to web based content.

Analysis of actual and emerging needs of industrial users and use case mapping

Analysis of actual and emerging needs of industrial users and use case mapping will report the results of the analysis of the actual and emerging needs of industrial users of BD, based on IDC data and an ad-hoc survey of pioneer industrial users (running pilot cases in the ICT14 and ICT 15 H2020 projects) and other users.

Websites, patent fillings, videos etc. (1)

Project Web Portal and Dissemination Materials

Project Web Portal and Dissemination Materials Will launch the project online presence and website and provide the dissemination materials kit.

Other (1)

Data collection results

Data collection results will describe the results of data collection activities presenting the data that will be used to work with and validate the DataBench methodology.

Demonstrators, pilots, prototypes (1)

DataBench Toolbox – Alpha including support for reusing of existing benchmarks

DataBench Toolbox – Alpha including support for reusing of existing benchmarks will present the specification about alpha version of DataBench Toolbox. The focus will be on the components that will allow the reuse of existing benchmarks resources in the platform.

Publications

Conference proceedings (1)

Relating Big Data Business and Technical Performance Indicators

Author(s): Pernici, Barbara; Francalanci, Chiara; Geronazzo, Angela; Lucia, Polidori; Stefano, Ray; Leonardo, Riva; Arne Jørgen Berre,; Todor, Ivanov

Published in: XV Conference of the Italian Chapter of AIS, Issue 2018, 2018

Project information

DataBench

Grant agreement ID: 780966

Status

Ongoing project

Start date

1 January 2018
End date

31 December 2020

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 2 240 988,75
EU contribution

€ 2 240 988,75

Coordinated by:

IDC ITALIA SRL

Project information

DataBench

Grant agreement ID: 780966

Status

Ongoing project

Start date

1 January 2018
End date

31 December 2020

Funded under:

H2020-EU.2.1.1.

Overall budget:

€ 2 240 988,75
EU contribution

€ 2 240 988,75

Coordinated by:

IDC ITALIA SRL

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Last update: 23 January 2018

Record number: 213181

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