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DataBench

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Evidence Based Big Data Benchmarking to Improve Business Performance

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 an... ver más

31/12/2020

IDC ITALIA SRL

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

IDC ITALIA SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 10 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-12-31

ICT-17-2016-2017: Big data PPP: Support, industrial s... Specific Challenge:The newly created Big Data Value contractual public-private partnership (cPPP) ne...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

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10 Participantes

IDC ITALIA SRL

685.62K€ | Lider

IDOM CONSULTING

614.94K€ | Participante

LEAD CONSULT LTD

71.13K€ | Participante

ATOS SPAIN SA

438.16K€ | Participante

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Duración del proyecto: 38 meses Fecha Inicio: 2017-10-31
Fecha Fin: 2020-12-31

Líder del proyecto

IDC ITALIA SRL No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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