Description
Business intelligence users and planners.
Making Leaders Successful
Every Day
Complimentary Webinar:
Big Data: Gold Rush Or Illusion?
Holger Kisker, Ph.D. Vice President, Research Director
Martha Bennett, Principal Analyst
May 28, 2013, 11:00 a.m. CET/10:00 a.m. UK time
Follow this conversation on Twitter: #bigdatawebinar
Agenda
1 Forrester introduction
2 Big data: gold rush or
illusion?
3 We can help
4 Q&A
© 2013 Forrester Research, Inc. Reproduction Prohibited 3
© 2013 Forrester Research, Inc. Reproduction Prohibited 4
Forrester is a global research
and advisory firm
We help you make better decisions
in a world where technology is
radically changing your customers
© 2013 Forrester Research, Inc. Reproduction Prohibited 5
How we help
FORRESTER’S PLAYBOOK FRAMEWORK
© 2013 Forrester Research, Inc. Reproduction Prohibited 6
Introducing the presenters
© 2013 Forrester Research, Inc. Reproduction Prohibited 7
Holger Kisker, Ph.D.
VP, Research Director
Serving Application Development & Delivery Professionals
Martha Bennett
Principal Analyst
Serving Application Development & Delivery Professionals
Data is the most valuable asset
Data
1011001
0101101
1001011
$
Information
Insights
Decisions
Products
People
Processes
Firms recognize the importance of data . . .
13%
17%
18%
18%
19%
19%
20%
26%
27%
27%
28%
32%
37%
4%
6%
6%
7%
7%
8%
7%
7%
8%
8%
9%
11%
18%
Implement a bring-your-own PC, smartphone, and/or tablet strategy
Create a comprehensive mobile and tablet strategy for employees
Shift spending from core systems to applications driving engagement
with customers
Create a comprehensive cloud strategy
Develop smart product APIs that improve product & service
capabilities
Create a comprehensive mobile and tablet strategy for customers or
business partners
Cut overall IT costs due to economic conditions
Reorganize or retrain IT to better align with business outcomes and
drive innovation
Help the organization better manage and integrate its partners and
suppliers
Improve IT budget performance
Develop new skills to better support emerging technologies and
business innovation
Improve IT project delivery performance
Improve the use of data and analytics to improve business decisions
and outcomes
High priority
Critical priority
Source: Forrsights Business Decision-Makers Survey, Q4 2012
Base: 3,616 business decision-makers from firms with 100 or more employees
1
2
3
4
5
6
7
. . . and BI is a top investment priority . . .
The top seven software applications in firms’ adoption plans by year
Source: Enterprise and SMB Software Survey, North American And Europe, Q3 2007; Enterprise And SMB Software Survey, North America And Europe,
Q4, 2008; Enterprise And SMB Software Survey, North American And Europe, Q4 2009; Forrsights Software Survey, Q4 2010; Forrsi ghts Software Survey,
Q4 2011; and Forrsights Software Survey, Q4 2012
Note: We first included industry-specific software in the Q4 2008 survey; we first included finance and accounting in the Q4 2009 survey.
2008
(N = 1,158)
2009
(N = 1,021)
2010
(N = 455)
2011
(N = 913)
2012
(N = 1,092)
2013
(N = 1,631)
Source: May 27, 2011 , “Forrsights: The Software Market In Transformation, 2011 And Beyond” Forrester report
Business intelligence
Customer relationship management
Collaboration software
Finance & accounting
Industry-specific software
Enterprise resource planning
Human capital management
. . . but they don’t use most of the data they have
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Unstructured
50TB
Semi-
structured
2 TB
Structured
12 TB
Utilized
12%
Average data volume
per company
9 TB 75 TB
0.6 TB 5 TB
4 TB 50 TB
SMBs: LEs:
Base: 634 business intelligence users and planners
© 2013 Forrester Research, Inc. Reproduction Prohibited 12
Data sources continue to multiply
© 2013 Forrester Research, Inc. Reproduction Prohibited 13
Most BI remains backward-looking
Source: September 20, 2011, “Understanding The Business Intelligence Growth Opportunity” Forrester report
Information about
BI projects are shifting to other technologies
12%
12%
12%
13%
14%
14%
18%
18%
20%
21%
21%
22%
23%
23%
25%
Nonmodeled data exploration
Text analytics
Reporting
Location analytics
Streaming analytics
Web analytics
Search/interactive discovery
OLAP
Metadata-generated analytics
Predictive analytics
Embedded analytics
Advanced visualization
Process analytics
Performance analytics
Dashboard
Planning to implement in the next 12 months
Base: 634 business intelligence users and planners
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Reporting
projects will shift
from new
implementations
to extensions of
scope.
© 2013 Forrester Research, Inc. Reproduction Prohibited 15
Fundamental shifts in BI
› The “Google Effect”
› The “good enough” principle
› Self-service tools
› Data visualization
› Predictive analytics
› Big data
› Mobile
› Cloud-based delivery models
“Big data” is:
Techniques and technologies
that make handling data at
extreme scale affordable.
“Big data” is:
Techniques and technologies
that make handling data at
extreme scale affordable.
Several different
technologies!
Many different use
cases!
Extreme in different
dimensions!
What is “extreme scale” in big data?
© 2013 Forrester Research, Inc. Reproduction Prohibited 19
There is no single “big data” technology
› Core Hadoop
› The wider Hadoop ecosystem
› Appliances
› Preconfigured/preintegrated systems
› Streaming technologies
› In-memory processing/analytics
› Advances in semantic technologies/NPL
› Cloud-based services
In-memory
Analytics
Specialized
NoSQL
Streaming
Generalized
NoSQL
Hadoop
Standard SQL
Appliances
H
i
g
h
l
y
s
t
r
u
c
t
u
r
e
d
P
o
l
y
s
t
r
u
c
t
u
r
e
d
Batch Real-time
Different requirements, different technologies
7% 13% 7% 17% 31%
Implemented, not expanding Expanding/upgrading implementation
Planning to implement in the next 12 months Planning to implement in more than 1 year
Interested but no plans
Base: 634 business intelligence users and planners
“What best describes your firm's current usage/plans to adopt big data technologies and solutions?”
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Big data analytics is growing quickly
20% have
implemented
some big data
technology
37% are planning a big data
technology project in 2013 or beyond
Production Logistics Sales Service Sourcing
(Singapore bank)
high-performance risk
analysis [SAS]. 45,000 instruments
with 100,000 parameters: 8.8 billion
risks analyzed in less than 1minute
(down from 18 hours), aggregated risk
portfolio. Upfront strategy evaluation.
(Retailer) price
optimization [SAS].
Based on sales and competition -> 270
million price calculations in less than 2
hours (down from 30 hours); now
several price changes per day.
(Telecom) churn/
loyalty management
[HP]. Call analysis (more than 500
million/day) combined with social media
analysis to assign risk scores to
business lines and individual
customers.
(Bus service) carrier
service optimization
[Fujitsu]. 200,000 input/output
operations/second. Response all real-time
(Semiconductor)
manufacturing
optimization [Exasol]. 5 billion data
points for production processes,
material, movements, product per
production cycle -> monitoring,
archiving, comparison, optimization.
(Retailer) workforce
scheduling and
optimization [Blue-
Yonder]. Predictive analysis (450,000
/week) based on sales, weather, traffic ->
improved employee/customer satisfaction
(Retailer) inventory
optimization
[BlueYonder] Based on weekly sales
forecast (135 GB), 300 million data sets
(sales, campaigns, products), improved
forecast 40% (1 billion/year), real-time
Royal Tech Institute
Stockholm [IBM]
optimized traffic
management. Real-time
250,000 GPS/s (signals) -> 20% less
traffic/emissions, 50% shorter trips
High-performance
computing for drilling
site evaluation [IBM,
summer 2010]. 50 TB
per survey. Increased success rate
from 1 in 5 to 1 in 3.
© 2013 Forrester Research, Inc. Reproduction Prohibited 23
Key lessons learned to date
› Skills requirements are often underestimated.
• BI or research project?
› Many of the emerging tools and technologies
aren’t yet enterprise-grade.
• Lack of management features and security
› The security and privacy implications are far-
reaching.
• We’re in uncharted territory, from an ethical as well
as a legal perspective.
Successful data projects need to align
information and process governance
Fragile or weak data
foundation
Business
processes without data
considerations
Predictive
analytics
Strong data management
foundation
Processes connected to
master data
Trusted predictive analytics
Low-quality
outcomes
High-quality
outcomes
Base: 460 business intelligence users
“In 2013, approximately what percentage of your firm's IT budget will go
to BI-related purchases, initiatives, and projects?”
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Top performers spend more on data
initiatives!
Base: 460 business intelligence users
?+25%
(15% or more YoY growth) (less than 15% YoY growth)
Information road map recommendations
• Align your BI / big data project to business goals
and KPIs.
• Make sure to select the technology most
appropriate for your BI / big data initiative.
• Consider internal/external expertise, deployment
options, and business models
• Review your information governance and extend
it to your big data initiative.
• Successful BI / big data is about products,
processes, and people.
© 2013 Forrester Research, Inc. Reproduction Prohibited 27
We can help
© 2013 Forrester Research, Inc. Reproduction Prohibited 28
Related Forrester research
› “Navigating The Future Of Customer Intelligence,” March 28,
2013
› “The Future Of Customer Data Management,” March 6, 2013
› “The Forrester Wave™: Big Data Predictive Analytics
Solutions, Q1 2013,” January 3, 2013
› “Turn Big Data Inward With IT Analytics,” December 5, 2012
› “Actionable Identity Intelligence Protects Big Data And Zero
Trust Identities,” August 1, 2012
› “The Big Deal About Big Data For Customer Engagement,”
June 1, 2012
› “Expand Your Digital Horizon With Big Data,” September 30,
2011
© 2013 Forrester Research, Inc. Reproduction Prohibited 29
For an overview of all live and upcoming playbooks, please visithttp://www.forrester.com/marketing/playbooks-all.html
› The Business Intelligence Playbook
› The Information Strategy And Architecture Playbook
› The Customer Analytics Playbook
› The Social Intelligence Playbook
› The Business Process Management Playbook
› The Data Security And Privacy Playbook
› The Data Management Playbook (coming soon)
› The Customer Information Playbook (coming soon)
› The Big Data Playbook (in discussion)
Forrester’s big data related playbooks
© 2013 Forrester Research, Inc. Reproduction Prohibited 30
Holger Kisker
Big Data, BI Analytics and Data
Management
Martha Bennett
BI, Analytics & Big Data, Mobile
BI
Mike Gualtieri
Big Data, Predictive & Real-time
Analytics
Boris Evelson
BI, BI/Big Data intersect, BI
Services
Charles Green
BI, Data & Information Services
Leslie Owens
Text Analytics, Natural Language
Processing
Brian Hopkins
Big Data, Data Management &
Architecture
Noel Yuhanna
Big Data, Data Warehouse, Data
Integration
Jennifer Belissent
Big Data in Public Sector, Smart
Cities
Gene Leganza
Information Strategy &
Architecture
Michael Barnes
BI, Big Data and Enterprise Apps in
APAC
Michele Goetz
Big Data, Data Governance, MDM,
Data Quality
Andras Cser
Governance, Risk & Compliance
and Data Security
Fatimeh Khatibloo
Customer intelligence, Social
Media
Henry Peyret
Metadata, Data Integration
Leverage a global team of big data experts
© 2013 Forrester Research, Inc. Reproduction Prohibited 31
› Big data advisory sessions
• Understand what big data means, the opportunities it presents,
and what you should do with it.
› Big data strategy workshops
• Understand how to pick the right opportunities that will have an
impact on your bottom line.
• Get your IT and marketing teams working together effectively to
plan and implement a sound strategy.
› Big data project consulting
• Big data technology market overview: Understand what
technologies are available and which ones will suit your needs.
• Big data technology assessment: Is your company ready to
take on big data and exploit the potential opportunities?
Understand where you need to invest to successfully launch your
initiatives.
Research-based consulting to guide
your big data initiatives
© 2013 Forrester Research, Inc. Reproduction Prohibited 32
Forums for CIOs, enterprise architects, infrastructure &
operations professionals, security & risk professionals,
and sourcing & vendor management professionals
Why Attend?
› Accelerate your success.
› Learn from experts in the field.
› Engage with Forrester analysts.
› Connect with peers.
› Get an exclusive first look at new research and survey
data.
Forrester’s Forums For Business Technology Leaders
Architecting Tomorrow’s Business Outcomes
June 10, 2013 - June 11, 2013, London
10-11 June, 2013
London
See you there . . .
Exclusive offer: register with the promo code stated in the webinar follow-up email and receive a discount of £100/€100.
© 2013 Forrester Research, Inc. Reproduction Prohibited 33
Questions
Thank you
Holger Kisker, Ph.D.
+49 (0) 69 959 29852
[email protected]
Martha Bennett
+44 (0) 20 7323 7674
[email protected]
doc_552709216.pdf
Business intelligence users and planners.
Making Leaders Successful
Every Day
Complimentary Webinar:
Big Data: Gold Rush Or Illusion?
Holger Kisker, Ph.D. Vice President, Research Director
Martha Bennett, Principal Analyst
May 28, 2013, 11:00 a.m. CET/10:00 a.m. UK time
Follow this conversation on Twitter: #bigdatawebinar
Agenda
1 Forrester introduction
2 Big data: gold rush or
illusion?
3 We can help
4 Q&A
© 2013 Forrester Research, Inc. Reproduction Prohibited 3
© 2013 Forrester Research, Inc. Reproduction Prohibited 4
Forrester is a global research
and advisory firm
We help you make better decisions
in a world where technology is
radically changing your customers
© 2013 Forrester Research, Inc. Reproduction Prohibited 5
How we help
FORRESTER’S PLAYBOOK FRAMEWORK
© 2013 Forrester Research, Inc. Reproduction Prohibited 6
Introducing the presenters
© 2013 Forrester Research, Inc. Reproduction Prohibited 7
Holger Kisker, Ph.D.
VP, Research Director
Serving Application Development & Delivery Professionals
Martha Bennett
Principal Analyst
Serving Application Development & Delivery Professionals
Data is the most valuable asset
Data
1011001
0101101
1001011
$
Information
Insights
Decisions
Products
People
Processes
Firms recognize the importance of data . . .
13%
17%
18%
18%
19%
19%
20%
26%
27%
27%
28%
32%
37%
4%
6%
6%
7%
7%
8%
7%
7%
8%
8%
9%
11%
18%
Implement a bring-your-own PC, smartphone, and/or tablet strategy
Create a comprehensive mobile and tablet strategy for employees
Shift spending from core systems to applications driving engagement
with customers
Create a comprehensive cloud strategy
Develop smart product APIs that improve product & service
capabilities
Create a comprehensive mobile and tablet strategy for customers or
business partners
Cut overall IT costs due to economic conditions
Reorganize or retrain IT to better align with business outcomes and
drive innovation
Help the organization better manage and integrate its partners and
suppliers
Improve IT budget performance
Develop new skills to better support emerging technologies and
business innovation
Improve IT project delivery performance
Improve the use of data and analytics to improve business decisions
and outcomes
High priority
Critical priority
Source: Forrsights Business Decision-Makers Survey, Q4 2012
Base: 3,616 business decision-makers from firms with 100 or more employees
1
2
3
4
5
6
7
. . . and BI is a top investment priority . . .
The top seven software applications in firms’ adoption plans by year
Source: Enterprise and SMB Software Survey, North American And Europe, Q3 2007; Enterprise And SMB Software Survey, North America And Europe,
Q4, 2008; Enterprise And SMB Software Survey, North American And Europe, Q4 2009; Forrsights Software Survey, Q4 2010; Forrsi ghts Software Survey,
Q4 2011; and Forrsights Software Survey, Q4 2012
Note: We first included industry-specific software in the Q4 2008 survey; we first included finance and accounting in the Q4 2009 survey.
2008
(N = 1,158)
2009
(N = 1,021)
2010
(N = 455)
2011
(N = 913)
2012
(N = 1,092)
2013
(N = 1,631)
Source: May 27, 2011 , “Forrsights: The Software Market In Transformation, 2011 And Beyond” Forrester report
Business intelligence
Customer relationship management
Collaboration software
Finance & accounting
Industry-specific software
Enterprise resource planning
Human capital management
. . . but they don’t use most of the data they have
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Unstructured
50TB
Semi-
structured
2 TB
Structured
12 TB
Utilized
12%
Average data volume
per company
9 TB 75 TB
0.6 TB 5 TB
4 TB 50 TB
SMBs: LEs:
Base: 634 business intelligence users and planners
© 2013 Forrester Research, Inc. Reproduction Prohibited 12
Data sources continue to multiply
© 2013 Forrester Research, Inc. Reproduction Prohibited 13
Most BI remains backward-looking
Source: September 20, 2011, “Understanding The Business Intelligence Growth Opportunity” Forrester report
Information about
BI projects are shifting to other technologies
12%
12%
12%
13%
14%
14%
18%
18%
20%
21%
21%
22%
23%
23%
25%
Nonmodeled data exploration
Text analytics
Reporting
Location analytics
Streaming analytics
Web analytics
Search/interactive discovery
OLAP
Metadata-generated analytics
Predictive analytics
Embedded analytics
Advanced visualization
Process analytics
Performance analytics
Dashboard
Planning to implement in the next 12 months
Base: 634 business intelligence users and planners
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Reporting
projects will shift
from new
implementations
to extensions of
scope.
© 2013 Forrester Research, Inc. Reproduction Prohibited 15
Fundamental shifts in BI
› The “Google Effect”
› The “good enough” principle
› Self-service tools
› Data visualization
› Predictive analytics
› Big data
› Mobile
› Cloud-based delivery models
“Big data” is:
Techniques and technologies
that make handling data at
extreme scale affordable.
“Big data” is:
Techniques and technologies
that make handling data at
extreme scale affordable.
Several different
technologies!
Many different use
cases!
Extreme in different
dimensions!
What is “extreme scale” in big data?
© 2013 Forrester Research, Inc. Reproduction Prohibited 19
There is no single “big data” technology
› Core Hadoop
› The wider Hadoop ecosystem
› Appliances
› Preconfigured/preintegrated systems
› Streaming technologies
› In-memory processing/analytics
› Advances in semantic technologies/NPL
› Cloud-based services
In-memory
Analytics
Specialized
NoSQL
Streaming
Generalized
NoSQL
Hadoop
Standard SQL
Appliances
H
i
g
h
l
y
s
t
r
u
c
t
u
r
e
d
P
o
l
y
s
t
r
u
c
t
u
r
e
d
Batch Real-time
Different requirements, different technologies
7% 13% 7% 17% 31%
Implemented, not expanding Expanding/upgrading implementation
Planning to implement in the next 12 months Planning to implement in more than 1 year
Interested but no plans
Base: 634 business intelligence users and planners
“What best describes your firm's current usage/plans to adopt big data technologies and solutions?”
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Big data analytics is growing quickly
20% have
implemented
some big data
technology
37% are planning a big data
technology project in 2013 or beyond
Production Logistics Sales Service Sourcing
(Singapore bank)
high-performance risk
analysis [SAS]. 45,000 instruments
with 100,000 parameters: 8.8 billion
risks analyzed in less than 1minute
(down from 18 hours), aggregated risk
portfolio. Upfront strategy evaluation.
(Retailer) price
optimization [SAS].
Based on sales and competition -> 270
million price calculations in less than 2
hours (down from 30 hours); now
several price changes per day.
(Telecom) churn/
loyalty management
[HP]. Call analysis (more than 500
million/day) combined with social media
analysis to assign risk scores to
business lines and individual
customers.
(Bus service) carrier
service optimization
[Fujitsu]. 200,000 input/output
operations/second. Response all real-time
(Semiconductor)
manufacturing
optimization [Exasol]. 5 billion data
points for production processes,
material, movements, product per
production cycle -> monitoring,
archiving, comparison, optimization.
(Retailer) workforce
scheduling and
optimization [Blue-
Yonder]. Predictive analysis (450,000
/week) based on sales, weather, traffic ->
improved employee/customer satisfaction
(Retailer) inventory
optimization
[BlueYonder] Based on weekly sales
forecast (135 GB), 300 million data sets
(sales, campaigns, products), improved
forecast 40% (1 billion/year), real-time
Royal Tech Institute
Stockholm [IBM]
optimized traffic
management. Real-time
250,000 GPS/s (signals) -> 20% less
traffic/emissions, 50% shorter trips
High-performance
computing for drilling
site evaluation [IBM,
summer 2010]. 50 TB
per survey. Increased success rate
from 1 in 5 to 1 in 3.
© 2013 Forrester Research, Inc. Reproduction Prohibited 23
Key lessons learned to date
› Skills requirements are often underestimated.
• BI or research project?
› Many of the emerging tools and technologies
aren’t yet enterprise-grade.
• Lack of management features and security
› The security and privacy implications are far-
reaching.
• We’re in uncharted territory, from an ethical as well
as a legal perspective.
Successful data projects need to align
information and process governance
Fragile or weak data
foundation
Business
processes without data
considerations
Predictive
analytics
Strong data management
foundation
Processes connected to
master data
Trusted predictive analytics
Low-quality
outcomes
High-quality
outcomes
Base: 460 business intelligence users
“In 2013, approximately what percentage of your firm's IT budget will go
to BI-related purchases, initiatives, and projects?”
Source: Forrsights Strategy Spotlight: Business Intelligence And Big Data, Q4 2012
Top performers spend more on data
initiatives!
Base: 460 business intelligence users
?+25%
(15% or more YoY growth) (less than 15% YoY growth)
Information road map recommendations
• Align your BI / big data project to business goals
and KPIs.
• Make sure to select the technology most
appropriate for your BI / big data initiative.
• Consider internal/external expertise, deployment
options, and business models
• Review your information governance and extend
it to your big data initiative.
• Successful BI / big data is about products,
processes, and people.
© 2013 Forrester Research, Inc. Reproduction Prohibited 27
We can help
© 2013 Forrester Research, Inc. Reproduction Prohibited 28
Related Forrester research
› “Navigating The Future Of Customer Intelligence,” March 28,
2013
› “The Future Of Customer Data Management,” March 6, 2013
› “The Forrester Wave™: Big Data Predictive Analytics
Solutions, Q1 2013,” January 3, 2013
› “Turn Big Data Inward With IT Analytics,” December 5, 2012
› “Actionable Identity Intelligence Protects Big Data And Zero
Trust Identities,” August 1, 2012
› “The Big Deal About Big Data For Customer Engagement,”
June 1, 2012
› “Expand Your Digital Horizon With Big Data,” September 30,
2011
© 2013 Forrester Research, Inc. Reproduction Prohibited 29
For an overview of all live and upcoming playbooks, please visithttp://www.forrester.com/marketing/playbooks-all.html
› The Business Intelligence Playbook
› The Information Strategy And Architecture Playbook
› The Customer Analytics Playbook
› The Social Intelligence Playbook
› The Business Process Management Playbook
› The Data Security And Privacy Playbook
› The Data Management Playbook (coming soon)
› The Customer Information Playbook (coming soon)
› The Big Data Playbook (in discussion)
Forrester’s big data related playbooks
© 2013 Forrester Research, Inc. Reproduction Prohibited 30
Holger Kisker
Big Data, BI Analytics and Data
Management
Martha Bennett
BI, Analytics & Big Data, Mobile
BI
Mike Gualtieri
Big Data, Predictive & Real-time
Analytics
Boris Evelson
BI, BI/Big Data intersect, BI
Services
Charles Green
BI, Data & Information Services
Leslie Owens
Text Analytics, Natural Language
Processing
Brian Hopkins
Big Data, Data Management &
Architecture
Noel Yuhanna
Big Data, Data Warehouse, Data
Integration
Jennifer Belissent
Big Data in Public Sector, Smart
Cities
Gene Leganza
Information Strategy &
Architecture
Michael Barnes
BI, Big Data and Enterprise Apps in
APAC
Michele Goetz
Big Data, Data Governance, MDM,
Data Quality
Andras Cser
Governance, Risk & Compliance
and Data Security
Fatimeh Khatibloo
Customer intelligence, Social
Media
Henry Peyret
Metadata, Data Integration
Leverage a global team of big data experts
© 2013 Forrester Research, Inc. Reproduction Prohibited 31
› Big data advisory sessions
• Understand what big data means, the opportunities it presents,
and what you should do with it.
› Big data strategy workshops
• Understand how to pick the right opportunities that will have an
impact on your bottom line.
• Get your IT and marketing teams working together effectively to
plan and implement a sound strategy.
› Big data project consulting
• Big data technology market overview: Understand what
technologies are available and which ones will suit your needs.
• Big data technology assessment: Is your company ready to
take on big data and exploit the potential opportunities?
Understand where you need to invest to successfully launch your
initiatives.
Research-based consulting to guide
your big data initiatives
© 2013 Forrester Research, Inc. Reproduction Prohibited 32
Forums for CIOs, enterprise architects, infrastructure &
operations professionals, security & risk professionals,
and sourcing & vendor management professionals
Why Attend?
› Accelerate your success.
› Learn from experts in the field.
› Engage with Forrester analysts.
› Connect with peers.
› Get an exclusive first look at new research and survey
data.
Forrester’s Forums For Business Technology Leaders
Architecting Tomorrow’s Business Outcomes
June 10, 2013 - June 11, 2013, London
10-11 June, 2013
London
See you there . . .
Exclusive offer: register with the promo code stated in the webinar follow-up email and receive a discount of £100/€100.
© 2013 Forrester Research, Inc. Reproduction Prohibited 33
Questions
Thank you
Holger Kisker, Ph.D.
+49 (0) 69 959 29852
[email protected]
Martha Bennett
+44 (0) 20 7323 7674
[email protected]
doc_552709216.pdf