About DataBench Project
Organisations rely on evidence from the Benchmarking domain to provide answers on 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 (ROI).
The DataBench project addresses this significant gap in the current benchmarking community’s activities, by providing certifiable benchmarks and evaluation schemes of BDT performance of high business impact and industrial significance.
DataBench will provide the community with important results including…
Including a complete set of metrics for BDT assessment.
Assessing the European and industrial significance of the BDT examined by the project.
A tool to connect and evaluate external initiatives.
Providing guidelines to the use of the project’s results, Framework & Toolbox, describing metrics implementation and benchmarks.
Based on existing efforts in big data benchmarking and enabling inclusion of new benchmarks that could arise in the future, the DataBench Toolbox provides a unique environment to search, select and deploy big data benchmarking tools, giving the possibility to generate unified technical metrics and, most importantly, going the extra mile and derive business KPIs for your organization.
D2.1 aims at describing the methodological approach which will be used by DataBench to implement the economic, market and business analysis required by the project. This methodology will serve to assess the European and industrial significance of the benchmarking technologies examined by DataBench.
D3.1 describes the DataBench Toolbox Architecture and main functional elements. The DataBench Toolbox aims to be an umbrella framework for big data benchmarking based on existing efforts in the community. It will incude features to reuse existing big data benchmarks into a common framework, and will help users to search, select, download, execute and get a set of technical and business indicators out of the benchmarks' results.
At the heart of the DataBench project is the goal to design a benchmarking process helping European organisations developing Big Data Technologies to reach for excellence and constantly improve their performance, by measuring their technology development activity against parameters of high business relevance.
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