Preliminary benchmarks of Industrial Significance of Big Data Technologies Performance Parameters
One of the DataBench project’s central goals is to design, develop and validate in industrial Case Studies a benchmarking process based on highly relevant business metrics to help European organizations evaluate their use of Big Data and Analytics (BDA) as they seek to improve their business performance.
This report presents the results of the economic and market analysis carried out in the context of WP2. The work documented in this report is based on the methodology described in the preceding deliverable D2.1 Economic, Market and Business Analysis Methodology.
This document provides a preliminary assessment of the performance measurement metrics that companies are benchmarking to assess their use of Big Data and Analytics (BDA). It is intended to evaluate how these metrics correspond to the real potential business impacts driving companies from the economic or organisational viewpoint.
The document is based on desk research from public sources, on IDC research databases, and on a specific survey of 700 European businesses in 11 EU Member States. These companies were selected after confirming their actual or planned use of BDA. The sample is representative of European industry (excluding the Public sector, Education and Construction). The report shows the relevance of business KPIs for BDA users including revenues, profit and quality of service improvements, as well as the average values achieved for each KPI by industry and company size.
These benchmarks will be tested and validated through the analysis of case studies carried out by WP4, verified through the analysis in WP5 and updated at the end of the project in 2020.