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Building a Bridge between
Technical and Business
Benchmarking
By Gabriella Cattaneo, Mike Glennon
IDC
Tomas Pariente Lobo,...
23/11/2018 DataBench Project - GA Nr 780966 2
Main Activities
• Classify the main use cases of
BDT by industry
• Compile a...
Databench Workflow
3© IDC
3© IDC
Technical BenchmarksBusiness Benchmarks
Where Magic Happens
23/11/2018 DataBench Project - GA Nr 780966 4
DataBench Project - GA Nr 780966 5
How to link technical and business benchmarking
WP2 – ECONOMIC MARKET AND
BUSINESS ANAL...
Early Results from the
Databench Business users
Survey
23/11/2018 DataBench Project - GA Nr 780966 6
European Companies use of Big Data
© IDC 7
By Size Band
DRAFT
Source: Databench Survey, IDC, final results, 700 interviews...
Big Data Key Use Cases
© IDC
8
Source: IDC DataBench Survey, October 2018 (n=700 European Companies)
© IDC 9
Key Performance Indicators in Users’view
Quality and Customers are the
two most important KPI’s
DRAFT
Source: Data...
Big Data is Worth the Investment
© IDC
10
Nearly 90% of businesses saw moderate or
high levels of benefit in their Big Dat...
• Provide methodologies and tools to help assess and
maximise the business benefits of BDT adoption
• Provide criteria for...
gcattaneo@idc.com
rstevens@idc.com
Evidence Based Big Data Benchmarking to
Improve Business Performance
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Building a Bridge between Technical and Business Benchmarking, Gabriella Cattaneo, Mike Glennon, Tomas Pariente, BDV Meet-Up Riga, 12/11/2018

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Building a Bridge between Technical and Business Benchmarking, Gabriella Cattaneo, Mike Glennon, Tomas Pariente, BDV Meet-Up Riga, 12/11/2018

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Building a Bridge between Technical and Business Benchmarking, Gabriella Cattaneo, Mike Glennon, Tomas Pariente, BDV Meet-Up Riga, 12/11/2018

  1. 1. Building a Bridge between Technical and Business Benchmarking By Gabriella Cattaneo, Mike Glennon IDC Tomas Pariente Lobo, ATOS European Big Data Value Forum November 12, 2018 23/11/2018 DataBench Project - GA Nr 780966 1
  2. 2. 23/11/2018 DataBench Project - GA Nr 780966 2 Main Activities • Classify the main use cases of BDT by industry • Compile and assess technical benchmarks • Perform economic and market analysis to assess industrial needs • Evaluate business performance in selected use cases Expected Results • A conceptual framework linking technical and business benchmarks • European industrial and performance benchmarks • A toolbox measuring optimal benchmarking approaches • A handbook to guide the use of benchmarks Building a bridge between technical and business benchmarking
  3. 3. Databench Workflow 3© IDC 3© IDC Technical BenchmarksBusiness Benchmarks
  4. 4. Where Magic Happens 23/11/2018 DataBench Project - GA Nr 780966 4
  5. 5. DataBench Project - GA Nr 780966 5 How to link technical and business benchmarking WP2 – ECONOMIC MARKET AND BUSINESS ANALYSIS WP4 – EVALUATING BUSINESS PERFORMANCE Top-down Bottom-up • Focus on economic and industry analysis and the EU Big Data market • Classify leading Big Data technologies use cases by industry • Analyse industrial users benchmarking needs and assess their relative importance for EU economy and the main industries • Demonstrate the scalability, European significance (high potential economic impact) and industrial relevance (responding to primary needs of users) of the benchmarks USE CASES = Typologies of technology adoption in specific application domains and/or business processes ▪ Focus on data collection and identification of use cases to be monitored and measured ▪ Evaluation of business performance of specific Big Data initiatives ▪ Leverage Databench toolbox ▪ Provide the specific industrial benchmarks to WP” ▪ Produce the Databench Handbook, a manual supporting the application of the Databench toolbox 23/11/2018
  6. 6. Early Results from the Databench Business users Survey 23/11/2018 DataBench Project - GA Nr 780966 6
  7. 7. European Companies use of Big Data © IDC 7 By Size Band DRAFT Source: Databench Survey, IDC, final results, 700 interviews, October 2018
  8. 8. Big Data Key Use Cases © IDC 8 Source: IDC DataBench Survey, October 2018 (n=700 European Companies)
  9. 9. © IDC 9 Key Performance Indicators in Users’view Quality and Customers are the two most important KPI’s DRAFT Source: Databench Survey, IDC, final results, 700 interviews, October 2018
  10. 10. Big Data is Worth the Investment © IDC 10 Nearly 90% of businesses saw moderate or high levels of benefit in their Big Data implementation Source: IDC DataBench Survey, October 2018 (n=700 European Companies) Adopting Big Data Solutions increased profit by 5%, revenue by 4%, and reduced cost by 3% 5% DRAFT
  11. 11. • Provide methodologies and tools to help assess and maximise the business benefits of BDT adoption • Provide criteria for the selection of the most appropriate BDTs solutions • Provide benchmarks of European and industrial significance • Provide a questionnaire tool comparing your choices and your KPIs with your peers DataBench Project - GA Nr 780966 11 What can DataBench do for you? What we want from you? ▪ Expression of interest to become a case study and monitoring your Big Data KPIs ▪ Answer a survey on your Big Data experiences 23/11/2018
  12. 12. gcattaneo@idc.com rstevens@idc.com Evidence Based Big Data Benchmarking to Improve Business Performance

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