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Gaining competitive advantage through
Big Data assets and investments
A pragmatic approach on how to get started
to extract business value from Big Data footprint
netStar Partners
Capital & Business Breakthroughs
October, 2013 Slideshare 2 of 2
Content
2
 Introduction
 Do or die board questions about Big Data management
 What is Big Data?The 4V´s
 When & where is its value?
 The data
 The processes
 Big Data opportunities
 Some examples
 3 Potential approaches- Proposed approach
 Why netStar Partners?
Confidential3
3 Potential approaches
Big Data
management
Develop a Big Data strategy that capitalizes on the company´s most important
data assets and defines key relevant new target assets and data management
objectives
Deploy more innovative advanced analytical approaches to
address the highest priority challenges & processes impacted
by Big Data
Enhance existing business models levering
on Big Data to improve & create new
revenue streams or performance
efficiency
1
2
3
Confidential4
3 Potential approaches (revisited)
Big Data
management
Big Data management
Develop a Big Data strategy that capitalizes on
the company´s most important data assets and
defines key relevant new target assets and data
management objectives
Deploy more innovative advanced analytical approaches to address the highest
priority challenges & processes impacted by Big Data
Enhance existing business models levering on Big Data to improve & create new
revenue streams or performance efficiency
1
2
3
BUT…….
Do we know with what initiative to start with? How to prioritize them?
Proposed approach
Implementing a pragmatic approach to extract business value
from Big Data investments
5
TimetomarketofnewBDinitiatives
ROI
- +
weeks
min Consolidate
Imagine
Prioritize
Act
 Start where you are
PHASE 2PHASE 1
Proposed approach
Implementing a pragmatic approach to extract business value
from Big Data investments
Structured
screening of Bid
Data
opportunities
and threats
Prioritize Big Data
roadmap (Concept
development,
feasibility analysis
and business
prioritization)
Extracting value
from Big Data
initiative 1
Extracting value
from Big Data
initiative 2
Extracting value
from Big Data
initiative x
PHASE 3
Define Big Data impact on strategy and Data
management principles and governance
6
Imagine Prioritize Act
Consolidate
Proposed approach
PHASE 1.- Structured screening of Bid Data opportunities and threats
PHASE 2PHASE 1
Initiative
1
Initiative
2
Initiative
x
PHASE 3
7
Screening &
Resources
meeting
Structured
brain
storming
First
screening
Imagine
• Company´s Data Map
• Current potential
projects
• Futuristic potential
projects/Pilots. Data
needs
Develop the
company´s
relevant
current and
future data
footprint
Criteria
development
Background
setting
Timing dependent on industry and volume: breakthrough ideas vs or
new incremental opportunities
Proposed approach
PHASE 2A.- Prioritize Big Data roadmap (Concept development, feasibility analysis
and business prioritization)
PHASE 2PHASE 1
Initiative
1
Initiative
2
Initiative
x
PHASE 3
8
Business
impact
Implementa-
tion risks
Business
potential
Prioritize
• Strategic
• Operational
• Opportunistic
• Difficult
• Uncertain
• Easy
Data
acquisi-
tion
challenge
Data
storage
&
shorting
challenge
Analysis
challenge
Action
impleme
ntation
challenge
• High potential
• Medium
• Low potential
Proposed approach
PHASE 2A.- Prioritize Big Data roadmap (Concept development, feasibility analysis
and business prioritization)
PHASE 2PHASE 1
Initiative
1
Initiative
2
Initiative
x
PHASE 3
9
Strategic
prioritization
and resource
allocation
Prioritize
Proposed approach
PHASE 2B.- Extracting value from Big Data initiative XXXX
PHASE 2PHASE 1
Initiative
1
Initiative
2
Initiative
x
PHASE 3
10
Data
acquisition
plans
• Extract
• Transfer
• Integrate
Data storage
& shorting
plans
• Solutions
• Search engines
• Archiving solutions
• Garbage mng.
• Processing cap
Analysis
plans
• Tools
• Talent
• Interpretation
Action
implementati
on plans
• Users
• Scorecards
• Implementation
media
Act
Note: Implementing Big Data Initiatives would require a different contract set up depending on project management requirements, infrastructure needs,
data needs and analysis requirements.
Imagine
Prioritize
Act
Consolidate
TimetomarketofnewBD
initiatives
ROI
- +
weeks
min
Proposed approach
PHASE 3.- Define Big Data impact on strategy and Data management principles and
governance
11
Consolidate
•Vision; competitors; potential; opportunities & threats; regulation; leadership;…
Big Data Business impact (Current & future)
•Team (Talent & dimension); Data management; data needs; project priorities; …
Big Data Road map
•Sales & Marketing performance; Customer experience; operational agility
Big Data Pilot
•Hw, Sw, … Structure
Big Data Engineering
•Data storage technologies, processing technologies, statistical programs, ….
Big Data Applications
•Governance; scorecards; integration; …
Big Data Automation
PHASE 2PHASE 1
Initiative
1
Initiative
2
Initiative
x
PHASE 3
Content
12
 Introduction
 Do or die board questions about Big Data management
 What is Big Data?The 4V´s
 When & where is its value?
 The data
 The processes
 Big Data opportunities
 Some examples
 3 Potential approaches- Proposed approach
 Why netStar Partners?
Why netStar Partners?
13
Experience Right balance of business (Sales/mrkg)
and Analytical expertise
Speed Structure and sustainable results in one
quarter. Next projects in weeks
Proximity On premise , close to customer
Proven Business consulting and Big Data
business cases
Methodology Pragmatic approach results oriented
 Involvement needs vary through the project, so netStar has a Data
Scientific partners to get synergies and maximize customer value and
balance expertise in business consulting and deep analytical knowledge
Why netStar Partners?
Different implication based on project phase
Data Scientific
Partner
PHASE 1.- Structured screening of Bid Data opportunities and threats
80% 20%
PHASE 2.- Prioritize Big Data roadmap (Concept development, feasibility
analysis and business prioritization) 60% 40%
PHASE 2B.- Extracting value from Big Data initiative XXXX (1)
10% 90%
PHASE 3-.Define Big Data impact on strategy and Data management
principles and governance 70% 30%
14
Estimative dedication %
by each partner
Note (1): Implementing Big Data Initiatives would require a different contract set up depending on project management requirements, infrastructure
needs, data needs and analysis requirements.
 Presenting netStar Partners
Why netStar Partners?
15
netStar Partners is a hands-on Strategy Consulting Boutique.
The value proposition focuses on helping clients build strong business drivers such as growth programs
through innovation,internationalization programs, and business development plans, founded on
strong sales and marketing performance capabilities.
We believe that sales & marketing performance and innovation drive business value.
Big Data
16
57% of Business leaders agreed strongly that most of their
competitors are using Big Data to their Strategic Advantage (1)
53% of large companies undertook a Big Data initiate
during 2012 – 43% of them predicted ROI greater than 25%- (2)
What about you?
(1) CapGemini Study over 600 Business leaders 2013
(2) Tata Consultancy Services (TCS) in a Global Study including 1217 Large Companies
ThanksJaime.nistal@netstarpartners.es
17
MANAGING DIRECTOR
Jaime Nistal
jaime.nistal@netstarpartners.es
Mobile: +34 629 25 61 62
netStar Partners
Capital & Business Breakthroughs

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How to get started in extracting business value from big data 2 of 2 oct 2013

  • 1. Gaining competitive advantage through Big Data assets and investments A pragmatic approach on how to get started to extract business value from Big Data footprint netStar Partners Capital & Business Breakthroughs October, 2013 Slideshare 2 of 2
  • 2. Content 2  Introduction  Do or die board questions about Big Data management  What is Big Data?The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach  Why netStar Partners?
  • 3. Confidential3 3 Potential approaches Big Data management Develop a Big Data strategy that capitalizes on the company´s most important data assets and defines key relevant new target assets and data management objectives Deploy more innovative advanced analytical approaches to address the highest priority challenges & processes impacted by Big Data Enhance existing business models levering on Big Data to improve & create new revenue streams or performance efficiency 1 2 3
  • 4. Confidential4 3 Potential approaches (revisited) Big Data management Big Data management Develop a Big Data strategy that capitalizes on the company´s most important data assets and defines key relevant new target assets and data management objectives Deploy more innovative advanced analytical approaches to address the highest priority challenges & processes impacted by Big Data Enhance existing business models levering on Big Data to improve & create new revenue streams or performance efficiency 1 2 3 BUT……. Do we know with what initiative to start with? How to prioritize them?
  • 5. Proposed approach Implementing a pragmatic approach to extract business value from Big Data investments 5 TimetomarketofnewBDinitiatives ROI - + weeks min Consolidate Imagine Prioritize Act  Start where you are
  • 6. PHASE 2PHASE 1 Proposed approach Implementing a pragmatic approach to extract business value from Big Data investments Structured screening of Bid Data opportunities and threats Prioritize Big Data roadmap (Concept development, feasibility analysis and business prioritization) Extracting value from Big Data initiative 1 Extracting value from Big Data initiative 2 Extracting value from Big Data initiative x PHASE 3 Define Big Data impact on strategy and Data management principles and governance 6 Imagine Prioritize Act Consolidate
  • 7. Proposed approach PHASE 1.- Structured screening of Bid Data opportunities and threats PHASE 2PHASE 1 Initiative 1 Initiative 2 Initiative x PHASE 3 7 Screening & Resources meeting Structured brain storming First screening Imagine • Company´s Data Map • Current potential projects • Futuristic potential projects/Pilots. Data needs Develop the company´s relevant current and future data footprint Criteria development Background setting Timing dependent on industry and volume: breakthrough ideas vs or new incremental opportunities
  • 8. Proposed approach PHASE 2A.- Prioritize Big Data roadmap (Concept development, feasibility analysis and business prioritization) PHASE 2PHASE 1 Initiative 1 Initiative 2 Initiative x PHASE 3 8 Business impact Implementa- tion risks Business potential Prioritize • Strategic • Operational • Opportunistic • Difficult • Uncertain • Easy Data acquisi- tion challenge Data storage & shorting challenge Analysis challenge Action impleme ntation challenge • High potential • Medium • Low potential
  • 9. Proposed approach PHASE 2A.- Prioritize Big Data roadmap (Concept development, feasibility analysis and business prioritization) PHASE 2PHASE 1 Initiative 1 Initiative 2 Initiative x PHASE 3 9 Strategic prioritization and resource allocation Prioritize
  • 10. Proposed approach PHASE 2B.- Extracting value from Big Data initiative XXXX PHASE 2PHASE 1 Initiative 1 Initiative 2 Initiative x PHASE 3 10 Data acquisition plans • Extract • Transfer • Integrate Data storage & shorting plans • Solutions • Search engines • Archiving solutions • Garbage mng. • Processing cap Analysis plans • Tools • Talent • Interpretation Action implementati on plans • Users • Scorecards • Implementation media Act Note: Implementing Big Data Initiatives would require a different contract set up depending on project management requirements, infrastructure needs, data needs and analysis requirements.
  • 11. Imagine Prioritize Act Consolidate TimetomarketofnewBD initiatives ROI - + weeks min Proposed approach PHASE 3.- Define Big Data impact on strategy and Data management principles and governance 11 Consolidate •Vision; competitors; potential; opportunities & threats; regulation; leadership;… Big Data Business impact (Current & future) •Team (Talent & dimension); Data management; data needs; project priorities; … Big Data Road map •Sales & Marketing performance; Customer experience; operational agility Big Data Pilot •Hw, Sw, … Structure Big Data Engineering •Data storage technologies, processing technologies, statistical programs, …. Big Data Applications •Governance; scorecards; integration; … Big Data Automation PHASE 2PHASE 1 Initiative 1 Initiative 2 Initiative x PHASE 3
  • 12. Content 12  Introduction  Do or die board questions about Big Data management  What is Big Data?The 4V´s  When & where is its value?  The data  The processes  Big Data opportunities  Some examples  3 Potential approaches- Proposed approach  Why netStar Partners?
  • 13. Why netStar Partners? 13 Experience Right balance of business (Sales/mrkg) and Analytical expertise Speed Structure and sustainable results in one quarter. Next projects in weeks Proximity On premise , close to customer Proven Business consulting and Big Data business cases Methodology Pragmatic approach results oriented
  • 14.  Involvement needs vary through the project, so netStar has a Data Scientific partners to get synergies and maximize customer value and balance expertise in business consulting and deep analytical knowledge Why netStar Partners? Different implication based on project phase Data Scientific Partner PHASE 1.- Structured screening of Bid Data opportunities and threats 80% 20% PHASE 2.- Prioritize Big Data roadmap (Concept development, feasibility analysis and business prioritization) 60% 40% PHASE 2B.- Extracting value from Big Data initiative XXXX (1) 10% 90% PHASE 3-.Define Big Data impact on strategy and Data management principles and governance 70% 30% 14 Estimative dedication % by each partner Note (1): Implementing Big Data Initiatives would require a different contract set up depending on project management requirements, infrastructure needs, data needs and analysis requirements.
  • 15.  Presenting netStar Partners Why netStar Partners? 15 netStar Partners is a hands-on Strategy Consulting Boutique. The value proposition focuses on helping clients build strong business drivers such as growth programs through innovation,internationalization programs, and business development plans, founded on strong sales and marketing performance capabilities. We believe that sales & marketing performance and innovation drive business value.
  • 16. Big Data 16 57% of Business leaders agreed strongly that most of their competitors are using Big Data to their Strategic Advantage (1) 53% of large companies undertook a Big Data initiate during 2012 – 43% of them predicted ROI greater than 25%- (2) What about you? (1) CapGemini Study over 600 Business leaders 2013 (2) Tata Consultancy Services (TCS) in a Global Study including 1217 Large Companies