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. 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. 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
5. DataBench Project - GA Nr 780966 5
How to link technical and business benchmarking
WP2 C ECONOMIC MARKET AND
BUSINESS ANALYSIS
WP4 C 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. Early Results from the
Databench Business users
Survey
23/11/2018 DataBench Project - GA Nr 780966 6
7. European Companies use of Big Data
? IDC 7
By Size Band
DRAFT
Source: Databench Survey, IDC, final results, 700 interviews, October 2018
8. Big Data Key Use Cases
? IDC
8
Source: IDC DataBench Survey, October 2018 (n=700 European Companies)
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. 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. ? 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