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Transform to the power of digital
Digital as a State of Mind
Unlocking Big Data Potential and Tackling Digital Disruption
Fernando Alvarez, CDO Summit, NYC, April 2015
Copyright © 2015 Capgemini Consulting. All rights reserved.
Times change. Businesses evolve. It’s time for us to make a shift.
2
What we
have
traditionally
done
What we need to do to be more
relevant to our customers as we
move forward
Copyright © 2015 Capgemini Consulting. All rights reserved.
My own CDO experience, Client Engagements, and our Big Data Research
3
Capgemini Consulting has conducted a research study on Big Data
 Today, there is a lot of talk about Big Data, but very few success stories to match it
 Our study sought to find out how companies are implementing their Big Data
initiatives
 It examined various aspects like Organizational structure, Approach adopted,
Data Management, Tools and Technology
Copyright © 2015 Capgemini Consulting. All rights reserved.
Big Data: Much Debate, But Success Eludes Most Organizations
despite the buzz...
Nearly 60% of executives agree that Big Data will
Disrupt their industry in the next threeyears
of initiatives
are “successful”,
are
“very successful”
However, Only
of organizations
have their
initiatives in full-
scale production
Only And
Most initiatives are yet to take off,
13% 27% 8%
Copyright © 2015 Capgemini Consulting. All rights reserved.
So What’s Holding Up Implementations?
Most organizations are not doing it right...
No planned approach
Lack of a defined organizational
structure
No well-defined criteria
do not have a well-defined
roadmap, with milestones
and timelines, in place
either have scattered pockets
of resources or follow a
decentralized model for
analytics initiatives
Do not have well-defined
criteria to identify, qualify and
select use-cases
Do not have well-defined
success criteria (KPIs) to
measure the success of
their big data initiatives
55% 47%
74% 67%
Copyright © 2015 Capgemini Consulting. All rights reserved.
Some Companies are Doing it Right and Tasting Success
Comparison of Big Data initiative success rate
Criteria for use-case
selection
Well-defined
success criteria
Well-defined
roadmap
Business Unit
Analytics team as a
distinct profit-
making division
Centralizes
Central team acting as a
competence center for
Big Data, and
coordinating
initiatives
for all
business
units
Decentralized
Separate analytics
teams for separate
departments
Scattered Pockets
Ad-hoc, isolated
analytics teams
53%
43%
27%
20%
Yes
No
51%
22%
Yes
No
53%
29%
Yes
No
51%
28%
Copyright © 2015 Capgemini Consulting. All rights reserved.
Big Data Success Rates Improve with Systematic and Holistic Approaches
7
Security
Customer
Experience
Supply Chain and Fulfillment Management
Copyright © 2015 Capgemini Consulting. All rights reserved.
Different Companies Follow Different Organizational Structures….
8
Scattered
pockets
Ad-hoc, isolated
analytics teams
Decentralized
Separate analytics
teams for separate
departments
Centralized
Single team catering
to all analytics needs
of the organization
BU
Analytics team as a
profit-making body
20%
27%
43%
53%
However, success rates show a clear trend in favor of centralization
Copyright © 2015 Capgemini Consulting. All rights reserved.
One Company. One Platform.
9
Copyright © 2015 Capgemini Consulting. All rights reserved.
Transforming How Caixa Operates
Promote creativity and innovation targeted at customer’s service and efficiency
Leadership in retail banking, diversity
of operations in business banking
B2C B2B
Mobile as the face to serve the client
with the highest level of quality
Experience & Design to
Engage Varied Customers
Outsourced,
Industrialized Processes
Mobile Factory
Application Development
with Focus on Security
mCoE
End-to-End Mobile
Transformation
B2E
Copyright © 2015 Capgemini Consulting. All rights reserved.
Do you have the right operating model?
11
Effective Governance Model
Truly Managed Data
Robust Security and Privacy
Advanced & Integrated Big Data & Analytics Tools
Strategy for Developing Analytics Skill Sets.
Copyright © 2015 Capgemini Consulting. All rights reserved.
Thank You
12
Fernando Alvarez
Global Chief Digital Officer,
Corporate Vice President
Capgemini Consulting
fernando.alvarez@capgemini.com
Digital As A State Of Mind - Fernando Alvarez Presents at #CDOSummitNYC

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Digital As A State Of Mind - Fernando Alvarez Presents at #CDOSummitNYC

  • 1. Transform to the power of digital Digital as a State of Mind Unlocking Big Data Potential and Tackling Digital Disruption Fernando Alvarez, CDO Summit, NYC, April 2015
  • 2. Copyright © 2015 Capgemini Consulting. All rights reserved. Times change. Businesses evolve. It’s time for us to make a shift. 2 What we have traditionally done What we need to do to be more relevant to our customers as we move forward
  • 3. Copyright © 2015 Capgemini Consulting. All rights reserved. My own CDO experience, Client Engagements, and our Big Data Research 3 Capgemini Consulting has conducted a research study on Big Data  Today, there is a lot of talk about Big Data, but very few success stories to match it  Our study sought to find out how companies are implementing their Big Data initiatives  It examined various aspects like Organizational structure, Approach adopted, Data Management, Tools and Technology
  • 4. Copyright © 2015 Capgemini Consulting. All rights reserved. Big Data: Much Debate, But Success Eludes Most Organizations despite the buzz... Nearly 60% of executives agree that Big Data will Disrupt their industry in the next threeyears of initiatives are “successful”, are “very successful” However, Only of organizations have their initiatives in full- scale production Only And Most initiatives are yet to take off, 13% 27% 8%
  • 5. Copyright © 2015 Capgemini Consulting. All rights reserved. So What’s Holding Up Implementations? Most organizations are not doing it right... No planned approach Lack of a defined organizational structure No well-defined criteria do not have a well-defined roadmap, with milestones and timelines, in place either have scattered pockets of resources or follow a decentralized model for analytics initiatives Do not have well-defined criteria to identify, qualify and select use-cases Do not have well-defined success criteria (KPIs) to measure the success of their big data initiatives 55% 47% 74% 67%
  • 6. Copyright © 2015 Capgemini Consulting. All rights reserved. Some Companies are Doing it Right and Tasting Success Comparison of Big Data initiative success rate Criteria for use-case selection Well-defined success criteria Well-defined roadmap Business Unit Analytics team as a distinct profit- making division Centralizes Central team acting as a competence center for Big Data, and coordinating initiatives for all business units Decentralized Separate analytics teams for separate departments Scattered Pockets Ad-hoc, isolated analytics teams 53% 43% 27% 20% Yes No 51% 22% Yes No 53% 29% Yes No 51% 28%
  • 7. Copyright © 2015 Capgemini Consulting. All rights reserved. Big Data Success Rates Improve with Systematic and Holistic Approaches 7 Security Customer Experience Supply Chain and Fulfillment Management
  • 8. Copyright © 2015 Capgemini Consulting. All rights reserved. Different Companies Follow Different Organizational Structures…. 8 Scattered pockets Ad-hoc, isolated analytics teams Decentralized Separate analytics teams for separate departments Centralized Single team catering to all analytics needs of the organization BU Analytics team as a profit-making body 20% 27% 43% 53% However, success rates show a clear trend in favor of centralization
  • 9. Copyright © 2015 Capgemini Consulting. All rights reserved. One Company. One Platform. 9
  • 10. Copyright © 2015 Capgemini Consulting. All rights reserved. Transforming How Caixa Operates Promote creativity and innovation targeted at customer’s service and efficiency Leadership in retail banking, diversity of operations in business banking B2C B2B Mobile as the face to serve the client with the highest level of quality Experience & Design to Engage Varied Customers Outsourced, Industrialized Processes Mobile Factory Application Development with Focus on Security mCoE End-to-End Mobile Transformation B2E
  • 11. Copyright © 2015 Capgemini Consulting. All rights reserved. Do you have the right operating model? 11 Effective Governance Model Truly Managed Data Robust Security and Privacy Advanced & Integrated Big Data & Analytics Tools Strategy for Developing Analytics Skill Sets.
  • 12. Copyright © 2015 Capgemini Consulting. All rights reserved. Thank You 12 Fernando Alvarez Global Chief Digital Officer, Corporate Vice President Capgemini Consulting fernando.alvarez@capgemini.com

Hinweis der Redaktion

  1. Worldwide coverage - spanning Europe, North America and Asia Pacific Targeted senior level Analytics, Business and IT executives Covered 226 respondents in all
  2. Almost 60% of companies agree that Big Data will disrupt their industry in the next three years (21 % strongly agree, 36% agree) And yet companies are even struggling with their POCs (Compounded Success Rates: Overall - 38%, Europe - 38%, NA - 38%)
  3. Effective stewardship lacking for Big Data initiatives Project selection not driven by corporate strategy Use cases not selected in the best way possible No way to measure the success of Big Data initiatives
  4. Creating a clear roadmap helps identify the important milestones and timelines Having a dedicated governance unit helps drive the initiatives smoothly Criteria for use case selection enable focus on the best and most feasible use cases
  5. Data Management can be streamlined through internal and external means Creating robust policies and processes enables more effective management of data Partnering with specialist firms helps leverage data management and analytics capabilities
  6. The ultimate goal