Session 3 - The DataBench Framework: A compelling offering to measure the Impact of Big Data Technologies
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This document summarizes the European Big Data Value Forum 2020. It discusses the DataBench framework, which provides benchmarks and tools to measure the business impact of big data technologies. DataBench defines key performance indicators in areas like revenue, profits, costs and efficiency. It collected data through surveys of European organizations to establish benchmarks for these KPIs by industry and company size. The document also summarizes two case studies from Whirlpool and Fill that applied DataBench's methodology and achieved benefits like reduced costs and improved forecasting through big data analytics.
Session 3 - The DataBench Framework: A compelling offering to measure the Impact of Big Data Technologies
- 1. EUROPEAN BIG DATA VALUE FORUM 2020 EUROPEAN BIG DATA VALUE FORUM 2020 PART II: Big Data Business Framework and benchmarking tooling support
- 2. EUROPEAN BIG DATA VALUE FORUM 2020 EUROPEAN BIG DATA VALUE FORUM 2020 Session 3. The DataBench framework: a compelling offering to measure the impact of Big Data Technologies
- 3. EUROPEAN BIG DATA VALUE FORUM 2020 EUROPEAN BIG DATA VALUE FORUM 2020 Panelists Gabriella Cattaneo Associate VP, IDC EMEA – EU Government Consulting Chiara Francalanci Professor, Politecnico di Milano Pierluigi Petrali Operation Excellence Manager – Manufacturing R&D, Whirlpool EMEA Harald Sehrschön Teamleader R&D, Fill Erica Spinoni Research Analyst, IDC EMEA – Digital Transformation and Software
- 4. EUROPEAN BIG DATA VALUE FORUM 2020 Agenda • Benchmarking Big Data: the DataBench Approach, Gabriella Cattaneo, IDC • Overview of main benchmarks, Erica Spinoni, IDC • In-depth analysis: the case studies, Chiara Francalanci, Polimi • Pilot Industry experiences: o Whirlpool – Pierluigi Petrali o Fill – Harald Sehrschön
- 5. EUROPEAN BIG DATA VALUE FORUM 2020 Benchmarking the Business Impact of Big Data Technologies (BDT): the DataBench approach Industry : Agriculture, Banking, Business services… Data Management Data Processing Data Analytics User Interaction Data Pipes TOOLBOX Data Generators Workloads Software Stack Results Metrics Performance: Response and measurement time Quality: Failure rates and errors Cost: Energy and PaaS/SaaS Security: Access and Personal Data Compliance: Regulatory Technical Benchmarks Revenue growth BDT BUSINESS IMPACTS KPIs Profit growth Cost Reduction Time Efficiency Product/ Service quality Customer Satisfaction New products/ services Business Model Innnovation Source: DataBench D.1.1 Industry Requirements with Benchmark Metrics and KPIs, December 2018
- 6. EUROPEAN BIG DATA VALUE FORUM 2020 From KPIs to Benchmarks KPI Definition Metrics Revenue increase Increase in company revenues thanks to the adoption of BDA Benchmark: % increase measured as median of the sample Profit increase Increase in company profit thanks to the adoption of BDA Cost reduction Reduction in process costs thanks to the introduction of BDA Time efficiency Efficient use of time in business processes Benchmark: average rating on a scale of 1–5 based on the following ratings: • Less than 5% improvement = 1 • 5–9% = 2 • 10–24% = 3 • 25–49% = 4 • 50% or more = 5 Product/Service quality Product/Service features corresponding to users’ implied or stated needs and impacting their satisfaction Customer satisfaction A measure of customers’ positive or negative feeling about a product or service compared with their expectations New Products/ Services launched A measure of the number of new products and/or services enabled by data-driven innovation and launched by the company after engaging in the Big Data investment Business model innovation Novel ways of mediating between companies' product and economic value creation (for example, moving from traditional sales to service subscription models)
- 7. EUROPEAN BIG DATA VALUE FORUM 2020 Why DataBench KPIs can be used as Industry Benchmarks of BDT performance INDUSTRIAL SIGNIFICANCE EUROPEAN ECONOMIC SIGNIFICANCE Useful for linking TECHNICAL and BUSINESS PERFORMANCE Because they apply to the actual and emerging needs of specific industries and specific company-size segments Because they are measured for all the relevant European industries and company-size segments in which Big Data can have the highest impacts Because they are measured for the main use cases
- 8. EUROPEAN BIG DATA VALUE FORUM 2020 Data collection: • A survey with European organizations from 9 industries and 5 company size classes (700 interviews) • A survey of Big Data business pilots in H2020 ICT projects (30 interviews) • 22 case studies • Mapping 35 BDA use cases by industry and company size A sound base of evidence about industrial users’ needs Agriculture Business and IT services Financial Services Healthcare Manufacturing Retail & Wholesale Telecom & Media Transport and logistics Utilities, Oil & Gas Industry Sectors Benchmarking the business impacts of Big Data technologies is relevant for 90% of European enterprises Source: DataBench D2.4 – Benchmarks of European and Industrial Significance (December 2019)
- 9. EUROPEAN BIG DATA VALUE FORUM 2020 BDT Benchmarks for Profit/Revenue increase and Cost reduction by Industry… Source: DataBench D2.4 – Benchmarks of European and Industrial Significance (December 2019)
- 10. EUROPEAN BIG DATA VALUE FORUM 2020 Innovation Benchmarks for leading industries Source: DataBench D2.4 – Benchmarks of European and Industrial Significance (December 2019)
- 11. EUROPEAN BIG DATA VALUE FORUM 2020 …and by Company Size Source: DataBench D2.4 – Benchmarks of European and Industrial Significance (December 2019)
- 12. EUROPEAN BIG DATA VALUE FORUM 2020 DataBench in-depth analysis of BDT business impacts: the case studies supermarket Agriculture Business / IT Services Financial Services Healthcare Manufacturing Retail & Wholesale Telecom/Media Transport and Logistics fashion retailer telecom operator Source: D.4.3 Data Collection Results, October 2020 22 Case studies from 8 Industries
- 13. EUROPEAN BIG DATA VALUE FORUM 2020 Insights from case studies • Evidence from case studies is aligned with KPIs and positions business impact in the 4-8% range for profit and revenue improvements • A new approach to business intelligence: prescriptive and real-time analytics enable the delegation of decision-making to computers • High awareness of opportunities • Data are the starting point, data quality and governance are the main concerns • Only a few projects reach deployment stage • Most companies believe that it is important to make technical choices that can support long-term change • IT benchmarking is critically important, but complex
- 14. EUROPEAN BIG DATA VALUE FORUM 2020 EUROPEAN BIG DATA VALUE FORUM 2020 Pierluigi Petrali Operation Excellence Manager – Manufacturing R&D Whirlpool EMEA Harald Sehrschön Teamleader R&D Fill Fireside Chat: the Case Studies
- 15. EUROPEAN BIG DATA VALUE FORUM 2020 Whirlpool use case
- 16. EUROPEAN BIG DATA VALUE FORUM 2020 KPIs definition and results OPERATIONAL • Demand Forecast Error • Human Effort for Planning • Quality of user experience TACTICAL • Spare Part Stock Value • Plant Service Level STRATEGICAL • Lead Time to Consumer • Inventory Turnover
- 17. EUROPEAN BIG DATA VALUE FORUM 2020 FILL TECHNOLOGIEPARK IN GURTEN © copyright Fill Gesellschaft m.b.H. 2019
- 18. EUROPEAN BIG DATA VALUE FORUM 2020 BOOST 4.0 UPDATE Video https://www.youtube.com/watch?v=bDrVpgtBJtE&t=35s
- 19. This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966 Contacts info@databench.eu @DataBench_eu DataBench www.databench.eu DataBench Project DataBench DataBench Project