Global State of Enterprise Analytics 2018

MicroStrategy’s latest research study, the 2018 Global State of Enterprise Analytics Report, is based on surveys completed in April 2018 with 500 globally-based enterprise analytics and business intelligence professionals on the state of their organizations’ analytics initiatives across 20 industries. Selected participants came form organizations with 250 to 20,000 employees from...

Deliverable 4.1 Data Collection Plan

This deliverable presents the plan of the data collection activities executed as part of WP4. The general goal of WP4 is to evaluate the impact of BDT (Big Data Technology) on business performance in key use cases adopting advanced big data and analytics technologies. The work in WP4 is...

DataBench paper “Big Data key performance indicators” accepted at itAIS conference

The DataBench team is pleased to announce that the paper “Big Data key performance indicators” (by Barbara Pernici, Chiara Francalanci, Angela Geronazzo, Lucia Polidori, Stefano Ray, Leonardo Riva, Arne Jørgen Berre and Todor Ivanov) has been accepted for presentation at the XV edition of the itAIS conference. itAIS is the...

Databench at KDD 2018 Project Showcase Track, 22 August – London

Brand new for KDD 2018, the Project Showcase Track offers a full day focused exclusively on innovative KDD-relevant projects from national and regional funding programs, as well as corporate, start-up, and non-profit channels. The aim of the Track is to bring together a diverse community of researchers in Machine Learning and...

DataBench at KDD 2018, 19-23 August – London

KDD, the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data, will take place in London between 19-23 August, 2018. On August 22, the conference will feature a Project Showcase Track chaired by James Hodson and Dunia Mladenic, where DataBench...

Deliverable 3.1 DataBench Architecture

This document provides an overview of 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 include features to reuse existing big data benchmarks into a common framework, and...

DataBench in the News

Find more about DataBench project in the post from ODBMS.org – The Resource Portal for Big Data, New Data Management Technologies and Data Science. Read the article

Deliverable 2.1 Economic, Market and Business Analysis Methodology

The overall objective of DataBench is to provide benchmarks and performance evaluation mechanisms to identify the business impact and industrial significance in Big Data Technologies (BDT) benchmarking providing operational support to the BDV cPPP (Big Data Value contractual Public-Private Partnership) and the European Big Data industry. The results of...

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