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Mindset over Data Set
Big Data Prescription for Setting the Market Pace
January 2014
Bradley Graham
M. R. Rangaswami

© 2014 Sand Hill Group. All rights reserved.
"Using the status quo approaches, tools and
applications moving forward is like bringing
a knife to a gun fight."
- CIO, Financial Services Company

2

© 2014 Sand Hill Group. All rights reserved.
The Situation
• The market conversation is split
– Lofty strategic-level opportunities and impact (consultants)
– Detailed product-specific capabilities and
applications (vendors)

• Resulted in a challenging situation for
corporate management
– Given the hype, noise, confusion, cost, etc.
how do we move forward in a thoughtful
and responsible way?

• Created a need for a practical,
lightweight and scalable prescription
for implementing Big Data
– Based on the experiences and insights
of those who have successfully navigated
the complexities
3

© 2014 Sand Hill Group. All rights reserved.
Research Methodology
Panel

Executive Panel

Technology Panel

Membership

• 25

• 135

Company Size

• Global 1000-class

• Range of sizes (small to large)

Titles

• Vice president and above (80%)
• Director (20%)

• Mix of titles (from analytic
developer to CEO)

Roles

• Big Data thought leaders and
practitioners

• Big Data practitioners and
business sponsors/users

Focus

• Successes and setbacks in the
adoption and use

• Current/future uses
• Satisfaction

Methodology

• Confidential 1:1 interviews
• Questionnaire (completed by 23)

• Electronic survey

• Panel encompassed technology and non-technology, consumer and
industrial, and regulated and unregulated businesses
• Enabled the identification of common and transferable practices
4

© 2014 Sand Hill Group. All rights reserved.
A Strategic Priority
• The preponderance of companies
view Big Data as a strategic
priority
– Few explicitly reference Big Data in
their strategic plan

24%

Big Data
as a
Strategic Priority
76%

– Primarily an enabler to attaining a
strategic objective

• Those that don't fall into three
distinct categories of companies:
– De rigueur
– Early adopter
– Limited applicability

Yes

No or Not Sure

All agree that getting started is critical
5

© 2014 Sand Hill Group. All rights reserved.
The Transformative Potential
Transformation
Operational
Enhance the way the
business operates today

Tactical
Enhance customer
relationships and
competitive agility

Strategic
Enhance the long-term
business potential

Type of Results
•
•
•
•
•
•
•

Improved customer service
Improved quality
More efficient processes
Increased productivity and effectiveness
Reduced downtime
Improved inventory management (reduced outages and excesses)
Reduced fraud rates

•
•
•
•
•
•

Better customer segmentation and more targeted offers
Increased revenue per sale
Improved customer loyalty (reduced churn)
Improved products
Development of new products
Development of new applications for existing products

•
•
•
•

Identify new lines of business
Identify new product categories within existing lines of business
Access new customer segments
Access new geographical markets

Accomplishing 2 or 3 of these can be market changing
6

© 2014 Sand Hill Group. All rights reserved.
"Big Data is more than just about databases
and tools. If we as a company don't change,
we'll never be able to harness the value of
the data."
- CIO, Consumer Products Company

7

© 2014 Sand Hill Group. All rights reserved.
The Big Data Mindset
• Big Data requires a cultural shift:
– A new view of the company
– Exploration with a clear purpose and
a fail early approach
– Willingness to change perspectives
– Act based on causation rather
than correlation

• Must be driven from the top level
of the company

The Big Data mindset is critical to uncovering and
exploiting the latent potential of data
8

© 2014 Sand Hill Group. All rights reserved.
Data Fusion Continuum

Data Aware
Lower

Data Driven

Data Derived

Data Fusion

Higher

"You don't need to be Google. You just need
to think like Google. Constantly explore,
learn and adapt."
- Director, Technology Company
9

© 2014 Sand Hill Group. All rights reserved.
Applying Big Data

Application Area

Targeting

Using

Marketing

61%

39%

Product/Service Development

61%

30%

Internet Presence

52%

35%

• The business impact depends on the question posed (i.e.,
what Big Data solutions are intended to illuminate)
• Initial use: Well-contained yet addresses a meaningful need
• Follow-on applications: Opportunities that flow directly from
the strategy are a prudent place to start

10

© 2014 Sand Hill Group. All rights reserved.
Solid Progress with More to Come
• Significant progress in both
panels

Initiative Status
(by Panel)
48%

Using multiple analytics

11%
22%

Deployed first solution

10%

– Results are justifying
continued investment
– Implemented a systematic
approach

13%
19%

Developing first solution

9%

Planning/Prioritizing

16%
9%

Exploring and educating

44%

0% 10% 20% 30% 40% 50% 60%
Percent of Panel

Executive Panel

11

© 2014 Sand Hill Group. All rights reserved.

• Executive panel has
progressed further in its
adoption of Big Data
solutions

Technology Panel

• Use of multiple analytics
can encompass both basic
and advanced solutions
• Expect a significant move
toward advanced analytics
over the next 12 - 18 months
Satisfaction is Driving Continued Investment
• Higher overall satisfaction
among business sponsors
and users relates to:

Satisfaction with Big Data
(By Role)

– More profound insights
– More effective actions

10%

Business sponsor/user

61%
29%

• Technology panel's higher
than expected satisfaction
is likely attributed to:
49%

35%

0%

20%

40%

60%

Percent of Role

Better Than

12

– Success with the technology
– Producing results that
satisfied the business
stakeholders

16%

Technology/Analytics
professional

Meets

© 2014 Sand Hill Group. All rights reserved.

Less Than

80%

• Technology panel was
frustrated by:
– Skills and resource shortage
– Evolving nature of the
technology
The Impact of Big Data

Industry

Use Case

Distribution
Health Care

Reservoir management

Retail

© 2014 Sand Hill Group. All rights reserved.

Patient readmission

Oil and Gas

13

Inventory management

Seasonal promotions
The Big Data Realities
• Big Data can generate
substantial benefits
• It is a still new and
disruptive technology that
can be complex
to implement and use
• The cultural, organizational
and process implications
can be daunting
• The learning curve can be
long and expensive

14

© 2014 Sand Hill Group. All rights reserved.
The Prescriptive Answer
• People
– Cultivating the Big Data mindset and building the organizational
capabilities

• Approach
– Implementing a collaborative process to ensure a portfolio-level view when
assessing, making and tracking Big Data investments

• Core platform
– Establishing the necessary competencies, functions and assets

• Ecosystem partners
– Building a critical group of product and service providers that augment
and edify internal resources

15

© 2014 Sand Hill Group. All rights reserved.
Big Data Research from Sand Hill Group
• Mindset over Data Set: A Big Data Prescription
for Setting the Market Pace
– Presents powerful learnings of some of the most
successful implementers of enterprise Big Data
– Provides prescriptive executive-level guidance for
adopting and using Big Data
– Use as a planning guide or benchmarking tool
– Purchase at http://bit.ly/SH_BD_14_S

• Do You Hadoop? A Survey of Big Data
Practitioners
– Clarifies Big Data (Hadoop-based) initiative status
– Identifies pain points and barriers to adoption
– Illuminates usage changes over the next 12-18
months
– Use as a benchmarking tool
– Download at http://bit.ly/SH_H2014
16

© 2014 Sand Hill Group. All rights reserved.
Thank you!
Bradley Graham
Executive Director, Carpe Datum Rx
bgraham@Amberoon.com
CarpeDatumRx.com

17

© 2014 Sand Hill Group. All rights reserved.

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Sand Hill Big Data Report - 140128

  • 1. Mindset over Data Set Big Data Prescription for Setting the Market Pace January 2014 Bradley Graham M. R. Rangaswami © 2014 Sand Hill Group. All rights reserved.
  • 2. "Using the status quo approaches, tools and applications moving forward is like bringing a knife to a gun fight." - CIO, Financial Services Company 2 © 2014 Sand Hill Group. All rights reserved.
  • 3. The Situation • The market conversation is split – Lofty strategic-level opportunities and impact (consultants) – Detailed product-specific capabilities and applications (vendors) • Resulted in a challenging situation for corporate management – Given the hype, noise, confusion, cost, etc. how do we move forward in a thoughtful and responsible way? • Created a need for a practical, lightweight and scalable prescription for implementing Big Data – Based on the experiences and insights of those who have successfully navigated the complexities 3 © 2014 Sand Hill Group. All rights reserved.
  • 4. Research Methodology Panel Executive Panel Technology Panel Membership • 25 • 135 Company Size • Global 1000-class • Range of sizes (small to large) Titles • Vice president and above (80%) • Director (20%) • Mix of titles (from analytic developer to CEO) Roles • Big Data thought leaders and practitioners • Big Data practitioners and business sponsors/users Focus • Successes and setbacks in the adoption and use • Current/future uses • Satisfaction Methodology • Confidential 1:1 interviews • Questionnaire (completed by 23) • Electronic survey • Panel encompassed technology and non-technology, consumer and industrial, and regulated and unregulated businesses • Enabled the identification of common and transferable practices 4 © 2014 Sand Hill Group. All rights reserved.
  • 5. A Strategic Priority • The preponderance of companies view Big Data as a strategic priority – Few explicitly reference Big Data in their strategic plan 24% Big Data as a Strategic Priority 76% – Primarily an enabler to attaining a strategic objective • Those that don't fall into three distinct categories of companies: – De rigueur – Early adopter – Limited applicability Yes No or Not Sure All agree that getting started is critical 5 © 2014 Sand Hill Group. All rights reserved.
  • 6. The Transformative Potential Transformation Operational Enhance the way the business operates today Tactical Enhance customer relationships and competitive agility Strategic Enhance the long-term business potential Type of Results • • • • • • • Improved customer service Improved quality More efficient processes Increased productivity and effectiveness Reduced downtime Improved inventory management (reduced outages and excesses) Reduced fraud rates • • • • • • Better customer segmentation and more targeted offers Increased revenue per sale Improved customer loyalty (reduced churn) Improved products Development of new products Development of new applications for existing products • • • • Identify new lines of business Identify new product categories within existing lines of business Access new customer segments Access new geographical markets Accomplishing 2 or 3 of these can be market changing 6 © 2014 Sand Hill Group. All rights reserved.
  • 7. "Big Data is more than just about databases and tools. If we as a company don't change, we'll never be able to harness the value of the data." - CIO, Consumer Products Company 7 © 2014 Sand Hill Group. All rights reserved.
  • 8. The Big Data Mindset • Big Data requires a cultural shift: – A new view of the company – Exploration with a clear purpose and a fail early approach – Willingness to change perspectives – Act based on causation rather than correlation • Must be driven from the top level of the company The Big Data mindset is critical to uncovering and exploiting the latent potential of data 8 © 2014 Sand Hill Group. All rights reserved.
  • 9. Data Fusion Continuum Data Aware Lower Data Driven Data Derived Data Fusion Higher "You don't need to be Google. You just need to think like Google. Constantly explore, learn and adapt." - Director, Technology Company 9 © 2014 Sand Hill Group. All rights reserved.
  • 10. Applying Big Data Application Area Targeting Using Marketing 61% 39% Product/Service Development 61% 30% Internet Presence 52% 35% • The business impact depends on the question posed (i.e., what Big Data solutions are intended to illuminate) • Initial use: Well-contained yet addresses a meaningful need • Follow-on applications: Opportunities that flow directly from the strategy are a prudent place to start 10 © 2014 Sand Hill Group. All rights reserved.
  • 11. Solid Progress with More to Come • Significant progress in both panels Initiative Status (by Panel) 48% Using multiple analytics 11% 22% Deployed first solution 10% – Results are justifying continued investment – Implemented a systematic approach 13% 19% Developing first solution 9% Planning/Prioritizing 16% 9% Exploring and educating 44% 0% 10% 20% 30% 40% 50% 60% Percent of Panel Executive Panel 11 © 2014 Sand Hill Group. All rights reserved. • Executive panel has progressed further in its adoption of Big Data solutions Technology Panel • Use of multiple analytics can encompass both basic and advanced solutions • Expect a significant move toward advanced analytics over the next 12 - 18 months
  • 12. Satisfaction is Driving Continued Investment • Higher overall satisfaction among business sponsors and users relates to: Satisfaction with Big Data (By Role) – More profound insights – More effective actions 10% Business sponsor/user 61% 29% • Technology panel's higher than expected satisfaction is likely attributed to: 49% 35% 0% 20% 40% 60% Percent of Role Better Than 12 – Success with the technology – Producing results that satisfied the business stakeholders 16% Technology/Analytics professional Meets © 2014 Sand Hill Group. All rights reserved. Less Than 80% • Technology panel was frustrated by: – Skills and resource shortage – Evolving nature of the technology
  • 13. The Impact of Big Data Industry Use Case Distribution Health Care Reservoir management Retail © 2014 Sand Hill Group. All rights reserved. Patient readmission Oil and Gas 13 Inventory management Seasonal promotions
  • 14. The Big Data Realities • Big Data can generate substantial benefits • It is a still new and disruptive technology that can be complex to implement and use • The cultural, organizational and process implications can be daunting • The learning curve can be long and expensive 14 © 2014 Sand Hill Group. All rights reserved.
  • 15. The Prescriptive Answer • People – Cultivating the Big Data mindset and building the organizational capabilities • Approach – Implementing a collaborative process to ensure a portfolio-level view when assessing, making and tracking Big Data investments • Core platform – Establishing the necessary competencies, functions and assets • Ecosystem partners – Building a critical group of product and service providers that augment and edify internal resources 15 © 2014 Sand Hill Group. All rights reserved.
  • 16. Big Data Research from Sand Hill Group • Mindset over Data Set: A Big Data Prescription for Setting the Market Pace – Presents powerful learnings of some of the most successful implementers of enterprise Big Data – Provides prescriptive executive-level guidance for adopting and using Big Data – Use as a planning guide or benchmarking tool – Purchase at http://bit.ly/SH_BD_14_S • Do You Hadoop? A Survey of Big Data Practitioners – Clarifies Big Data (Hadoop-based) initiative status – Identifies pain points and barriers to adoption – Illuminates usage changes over the next 12-18 months – Use as a benchmarking tool – Download at http://bit.ly/SH_H2014 16 © 2014 Sand Hill Group. All rights reserved.
  • 17. Thank you! Bradley Graham Executive Director, Carpe Datum Rx bgraham@Amberoon.com CarpeDatumRx.com 17 © 2014 Sand Hill Group. All rights reserved.