Assessing the Performance and Impact of Big Data, Analytics and AI – July 8 at 14:00 CET
During this 1-hour session organised in collaboration with BDVA, different speakers from DataBench project provided the audience with a framework and tools to assess the performance and impact of Big Data and AI technologies from the technical perspective, by providing real insights coming from DataBench and other projects active in the benchmarking domain in various industrial sectors.
In addition, representatives from other projects part of the BDV PPP such as DeepHealth and I-BiDaaS participated to share the challenges and opportunities they have identified on the use of Big Data, Analytics, AI.
The webinar featured:
• An introductory session describing the need for DataBench in Big Data and AI centric analytics and its use in comparing the performance indicators that are important to organisations using them.
• A demonstration of the DataBench Toolbox and the advantages it brings for organisations that need to assess their data analytics processes.
• A discussion with other BDV PPP projects about their needs in terms of benchmarking big data.
- Introduction – Richard Stevens, DataBench / IDC
- DataBench Framework – Arne Berre, DataBench / SINTEF
- DataBench Toolbox Demo – Tomás Pariente Lobo (DataBench / ATOS)
- DeepHealth Needs and Requirements for Benchmarking: Jon-Ander Gómez Adrián
- I-BiDaaS: Dusan Jakovetic
“Success stories on Big Data & Analytics use cases + DataBench Toolbox” – May 28 at 11:00 CET
In this 1 hour session titled “Success stories on Big Data & Analytics Use Cases + DataBench Toolbox” our speakers and participants of the DataBench Project, Chiara Francalanci from Politecnico di Milano and Tomás Pariente from Atos Research and Innovation, presented the most relevant use cases and success stories on Retail and Manufacturing sectors implementing Big Data, Analytics and Benchmarking tools. The session included a demonstration of the main outcome of the project, the DataBench Toolbox, which allows different types of users from both technical and business roles, to search, select and deploy Big Data benchmarking tools to generate unified technical metrics and derive business KPIs.
“Big Data – Benchmark your Way to Excellent Business Performance” – April 29, 2020 at 11:00 CET
DataBench project goal is to design a benchmarking process helping European organizations developing Big Data Technologies to reach for excellence and improve their performance, by measuring their technology development activity against parameters of high business relevance. DataBench is investigating existing Big Data benchmarking tools and projects, identifying the main gaps and developing a robust set of metrics to compare technical results coming from those tools that will be available on the main outcome of the project the DataBench Toolbox.
In this 45 minute session titled “Big Data – Benchmark your way to excellent business performance” our speakers and representative of the DataBench Project, Gabriella Cattaneo and Erica Spinoni from IDC, presented the results of the research on Big Data business impacts by European industries. Listen to this webinar to understand how different industries implement Big Data Technologies and benchmark activities, for measuring business-related KPIs such as revenue growth, profitability and cost savings, customer satisfaction, among others, based on a survey conducted by IDC to 700 EU-industry-representative companies.
“DataBench – Benchmarking Big Data” – October 9, 2018 at 12:00 CET
DataBench held the first of a series of Webinars related to Big Data technologies and business insights hosted by the BDVe project on behalf of the BDVA. During the webinar Arne Berre (SINTEF) explained the efforts to characterise and reuse big data benchmarking frameworks from a technical perspective, and shared details of the degree of support that DataBench will provide to other projects and big data practitioners to benchmark big data tools and applications. Gabriella Cattaneo (IDC) provided ideas on how big data benchmarking could help organizations to get better business insights and take informed decisions.