SlideShare una empresa de Scribd logo
1 de 17
© 2014 IBM Corporation
Big Data & Analytics
in a New Information Era
© 2014 IBM Corporation2
Data at Scale Data in Many Forms Data in Motion Data Uncertainty
Big Data Is All Data
Volume Variety Velocity Veracity
© 2014 IBM Corporation3
Why Act Now?
Create IT AgilityManage RiskOutperform
Only 1 in 5 organizations
allocate more than 50% of
IT budget to new projects
Of leaders cite growth as
the key source of value
from analytics
Source:
1 - IBM IBV Study: Analytics: A blueprint for value, October 2013
2 - IBM Global Study on the Economic Impact of IT Risk, 2013
3 - IBM Global Data Center Study, 2012
Of respondents were impacted
by a cyber security breach
over the past 24 months
46%75% 1in5
© 2014 IBM Corporation4
Big Data & Analytics is a journey.
Build a culture
that infuses
analytics
everywhere
Invest in a
big data &
analytics
platform
Imagine It. Realize It. Trust It.
Put big data &
analytics in
the context of
business need
© 2014 IBM Corporation5
*More than 20 percent increase in analytics-based jobs between now and 2018.
20%
U.S. Department of
Labor Forecasts*
Skills Roles Mastery
Imagine It. Start with your people.
Novice
Builder
Leader
Master
© 2014 IBM Corporation6
Realize It. Insight drives key business imperatives.
Create new
business models
Optimize operations;
counter fraud & threats
Attract,
grow, retain
customers
Transform
management
processes
Manage
risk
Improve
IT economics
Big Data &
Analytics
Big Data &
Analytics
© 2014 IBM Corporation7
Information Integration & Governance
Systems Security
On premise, Cloud, As a service
Storage
Big Data & Analytics Infrastructure
New/Enhanced
Applications
All Data
What action
should I
take?
Decision
management
Cognitive
Fabric
Landing, Expl
oration and
Archive data
zone
EDW and
data mart
zone
Operational
data zone
Real-time Data Processing & Analytics What is
happening?
Discovery and
exploration
Why did it
happen?
Reporting and
analysis
What could
happen?
Predictive
analytics and
modeling
Deep
Analytics
data zone
Trust It. A new architectural approach is required.
© 2014 IBM Corporation8
Enterprise Analytics
Driving a Future-Ready Enterprise
Dan Rebella, IBM Business Analytics
27th March 2014
© 2014 IBM Corporation9
IBM’s 2014 C Suite Study:
Analytics drives Performance Acceleration
This report is IBM’s 1st study of the entire C-Suite --- and the 17th in the
ongoing series of CxO studies developed by the IBM Institute for Business
Value. We now have data from more than 23,000 interviews stretching back
to 2003.
Our latest study draws on input from:
1.CEOs 884
2.CFOs 576
3.CHROs 342
4.CIOs 1656
5.CMOs 524
6.CSCOs 201
© 2014 IBM Corporation10
 CEOs share control with customers
“We want to hear everything and anything our customers have to say. That will help us establish one-on-one
relationships with our customers and offer them better services more efficiently.” CEO Transportation
A full 1/3rd of CEOs believe their C-Suite is out of touch with their customers.
 CIOs look outward to generate new value
“The most important customer-rated initiative we’re investing in is analytics to give us a complete understanding of the
real needs of current and future customers.” CIO Telecom
Shifting from “service provider” to “critical strategic enabler”.
Leverage Analytics to create deep insights from structured unstructured data.
Implement leading edge technologies for the front office.
 CFOs step up to help create new business models
“We must make decisions that are based on facts, not feelings.” CFO Hospitality
Integrate financial and non-financial data for an enterprise single version of the truth
Enable open and transparent information across the enterprise to optimize Customer Profitability
IBM’s 2014 C Suite Study:
What’s the Cs are saying and focusing …
© 2014 IBM Corporation11
CFOs rank second only to CEOs in collaborative C-suite influence
C-Suite collaboration partners
Source: Question B6--Which of your C-suite peers do you work most closely with in support of the enterprise?
78%
65%
24%
CEO CFO All others
Source: “CFO insights from the Global C-Suite Study”, IBM Institute for Business Value, 2014
Finance has a role in bringing
balance to the funding of
innovation. We play a role in
challenging ideas and calling
out where they are not working.
Finance applies discipline to the
process
CFO,
Life Sciences, Unites States
”
© 2014 IBM Corporation12
Transform the
system of
engagement
Span finance and
operations, risk &
performance management
Infuse scenario
and predictive
intelligence
Guided business processes, mobile, collaboration
Financial & Operational
Performance Management
Narrative Reporting &
Disclosure Management
Sales Performance
Management
Governance, Risk and
Compliance
Predictive intelligence and scenario analytics
Three Analytics imperatives drive a future-ready enterprise
Big data platform
1 2 3
© 2014 IBM Corporation13
Drive collaborative performance management:
Engage all the right people when needed …
Finance
Executives
Managers
Line of business
IT
© 2014 IBM Corporation14
Span finance & operations, risk & performance management
Sales
Marketing
Finance
Operations HR
• Campaign
scorecards
• Promotion plans
• Customer and
product
profitability
• Revenue plans
• Sales dashboards
• Sales forecasts
• Incentive
compensation
• Quota plans
• Territories
• Sales channels
• Enterprise
scorecards
• Strategic
financial plans
• Profit and loss
• Balance sheets
• Cash flow
• Workforce KPIs
• Headcount
plans
• Salary and
compensation
• Staffing plans
• Training and
development
• Operational KPIs
• Strategy and
operations plans
• Capacity and
inventory plans
• Product allocation
• New products
Strategy and activity-aligned organization
Establish one comprehensive, analytic, planning, and
scorecarding platform
© 2014 IBM Corporation15
Apply scenarios and range plans to account for uncertainty
and risk
• Model
Build scenarios reflecting range of future market
conditions
• Collaborate
Across business units and functions
Capture variability of input drivers
• Report & Analyze
Create range of outcomes
Analyze sensitivity of outcomes
• Plan
For multiple outcomes
Range of Outcomes Driver Sensitivity
Scenario analysis
© 2014 IBM Corporation16
Build your Analytics agenda to enable a Customer Centric and
Future Ready Organization
Data
collection
New business
modeling
Profitability
and pricing
Performance
scorecarding
Error
checking
Decrease effort Increase focus
Process
monitoring
Increase in value from analytic initiatives
Transform the system
of engagement
Infuse scenario and
predictive intelligence
Span finance and
operations risk &
performance management
© 2014 IBM Corporation17 © 2014 IBM Corporation17

Más contenido relacionado

La actualidad más candente

Creating A Future Ready Business Through AI
Creating A Future Ready Business Through AICreating A Future Ready Business Through AI
Creating A Future Ready Business Through AIRalph Haupter
 
Fresh Tech: What grocers need to win in fresh
Fresh Tech:  What grocers need to win in freshFresh Tech:  What grocers need to win in fresh
Fresh Tech: What grocers need to win in freshIBM
 
Get a Competitive Edge with IBM and Oracle Supply Chain Management
Get a Competitive Edge with IBM and Oracle Supply Chain ManagementGet a Competitive Edge with IBM and Oracle Supply Chain Management
Get a Competitive Edge with IBM and Oracle Supply Chain ManagementIBM
 
Driving change: Unlocking data to transform the front office
Driving change: Unlocking data to transform the front officeDriving change: Unlocking data to transform the front office
Driving change: Unlocking data to transform the front officeAccenture Operations
 
Executive Traits for Recognizing the Bountiful Opportunities Ahead
Executive Traits for Recognizing the Bountiful Opportunities AheadExecutive Traits for Recognizing the Bountiful Opportunities Ahead
Executive Traits for Recognizing the Bountiful Opportunities AheadTata Consultancy Services
 
Intelligent Automation In Financial Services
Intelligent Automation In Financial ServicesIntelligent Automation In Financial Services
Intelligent Automation In Financial ServicesAccenture Insurance
 
Accountex UK keynote_2016_May 9 2016
Accountex UK keynote_2016_May 9 2016Accountex UK keynote_2016_May 9 2016
Accountex UK keynote_2016_May 9 2016David Patton
 
Raising the game: The 2014 IBM Business Tech Trends Study
Raising the game: The 2014 IBM Business Tech Trends StudyRaising the game: The 2014 IBM Business Tech Trends Study
Raising the game: The 2014 IBM Business Tech Trends StudySusanne Hupfer, Ph.D.
 
IDC: The Next Steps in Digital Transformation
IDC: The Next Steps in Digital TransformationIDC: The Next Steps in Digital Transformation
IDC: The Next Steps in Digital TransformationSOA PEOPLE
 
Trends of AI in ITSM
Trends of AI in ITSMTrends of AI in ITSM
Trends of AI in ITSMJai Sharma
 
Digital Strategy Framework
Digital Strategy FrameworkDigital Strategy Framework
Digital Strategy FrameworkJohn Fischbeck
 
Full Slide Deck
Full Slide DeckFull Slide Deck
Full Slide Deckfmi_igf
 
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite study
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite studyIbm bis 2014 m. rolfe cfo insights from ibm global c suite study
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite studyIBM Switzerland
 
Measuring the Impact of AI - TCS Global Trend Study
Measuring the Impact of AI - TCS Global Trend StudyMeasuring the Impact of AI - TCS Global Trend Study
Measuring the Impact of AI - TCS Global Trend StudyTata Consultancy Services
 
Justifying IT Spending
Justifying IT SpendingJustifying IT Spending
Justifying IT SpendingdotCMS
 
Breaking Bad Data: The Journey to Data-fuelled Digital Transformation
Breaking Bad Data: The Journey to Data-fuelled Digital TransformationBreaking Bad Data: The Journey to Data-fuelled Digital Transformation
Breaking Bad Data: The Journey to Data-fuelled Digital TransformationCapgemini
 
The rise of innovation empires Infographic
The rise of innovation empires InfographicThe rise of innovation empires Infographic
The rise of innovation empires InfographicCapgemini
 
TCS 2020 CIO Study - Roles & Responsibilities in Digital Business
TCS 2020 CIO Study -  Roles & Responsibilities in Digital BusinessTCS 2020 CIO Study -  Roles & Responsibilities in Digital Business
TCS 2020 CIO Study - Roles & Responsibilities in Digital BusinessTata Consultancy Services
 
Digital HR technology comes of age. The digitisation of human resources
Digital HR technology comes of age. The digitisation of human resourcesDigital HR technology comes of age. The digitisation of human resources
Digital HR technology comes of age. The digitisation of human resourcesAccenture Australia
 

La actualidad más candente (20)

Creating A Future Ready Business Through AI
Creating A Future Ready Business Through AICreating A Future Ready Business Through AI
Creating A Future Ready Business Through AI
 
Fresh Tech: What grocers need to win in fresh
Fresh Tech:  What grocers need to win in freshFresh Tech:  What grocers need to win in fresh
Fresh Tech: What grocers need to win in fresh
 
Assess and Optimize BI Operations - IT
Assess and Optimize BI Operations - ITAssess and Optimize BI Operations - IT
Assess and Optimize BI Operations - IT
 
Get a Competitive Edge with IBM and Oracle Supply Chain Management
Get a Competitive Edge with IBM and Oracle Supply Chain ManagementGet a Competitive Edge with IBM and Oracle Supply Chain Management
Get a Competitive Edge with IBM and Oracle Supply Chain Management
 
Driving change: Unlocking data to transform the front office
Driving change: Unlocking data to transform the front officeDriving change: Unlocking data to transform the front office
Driving change: Unlocking data to transform the front office
 
Executive Traits for Recognizing the Bountiful Opportunities Ahead
Executive Traits for Recognizing the Bountiful Opportunities AheadExecutive Traits for Recognizing the Bountiful Opportunities Ahead
Executive Traits for Recognizing the Bountiful Opportunities Ahead
 
Intelligent Automation In Financial Services
Intelligent Automation In Financial ServicesIntelligent Automation In Financial Services
Intelligent Automation In Financial Services
 
Accountex UK keynote_2016_May 9 2016
Accountex UK keynote_2016_May 9 2016Accountex UK keynote_2016_May 9 2016
Accountex UK keynote_2016_May 9 2016
 
Raising the game: The 2014 IBM Business Tech Trends Study
Raising the game: The 2014 IBM Business Tech Trends StudyRaising the game: The 2014 IBM Business Tech Trends Study
Raising the game: The 2014 IBM Business Tech Trends Study
 
IDC: The Next Steps in Digital Transformation
IDC: The Next Steps in Digital TransformationIDC: The Next Steps in Digital Transformation
IDC: The Next Steps in Digital Transformation
 
Trends of AI in ITSM
Trends of AI in ITSMTrends of AI in ITSM
Trends of AI in ITSM
 
Digital Strategy Framework
Digital Strategy FrameworkDigital Strategy Framework
Digital Strategy Framework
 
Full Slide Deck
Full Slide DeckFull Slide Deck
Full Slide Deck
 
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite study
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite studyIbm bis 2014 m. rolfe cfo insights from ibm global c suite study
Ibm bis 2014 m. rolfe cfo insights from ibm global c suite study
 
Measuring the Impact of AI - TCS Global Trend Study
Measuring the Impact of AI - TCS Global Trend StudyMeasuring the Impact of AI - TCS Global Trend Study
Measuring the Impact of AI - TCS Global Trend Study
 
Justifying IT Spending
Justifying IT SpendingJustifying IT Spending
Justifying IT Spending
 
Breaking Bad Data: The Journey to Data-fuelled Digital Transformation
Breaking Bad Data: The Journey to Data-fuelled Digital TransformationBreaking Bad Data: The Journey to Data-fuelled Digital Transformation
Breaking Bad Data: The Journey to Data-fuelled Digital Transformation
 
The rise of innovation empires Infographic
The rise of innovation empires InfographicThe rise of innovation empires Infographic
The rise of innovation empires Infographic
 
TCS 2020 CIO Study - Roles & Responsibilities in Digital Business
TCS 2020 CIO Study -  Roles & Responsibilities in Digital BusinessTCS 2020 CIO Study -  Roles & Responsibilities in Digital Business
TCS 2020 CIO Study - Roles & Responsibilities in Digital Business
 
Digital HR technology comes of age. The digitisation of human resources
Digital HR technology comes of age. The digitisation of human resourcesDigital HR technology comes of age. The digitisation of human resources
Digital HR technology comes of age. The digitisation of human resources
 

Similar a Loras College 2014 Business Analytics Symposium | Daniel Rebella, Phil Pillsbury, Scott Groendal and Craig Vogel: Big Data Analytics in a New Information Era

Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371IBMgbsNA
 
Breaking the data barrier: Lessons from analytically advanced Finance organiz...
Breaking the data barrier: Lessons from analytically advanced Finance organiz...Breaking the data barrier: Lessons from analytically advanced Finance organiz...
Breaking the data barrier: Lessons from analytically advanced Finance organiz...Spencer Lin
 
Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersAmanda Sirianni
 
Intro to ACE: Key strategies for Business Analytics Success
Intro to ACE: Key strategies for Business Analytics SuccessIntro to ACE: Key strategies for Business Analytics Success
Intro to ACE: Key strategies for Business Analytics SuccessJulie Severance
 
Cge leadership summit ibm presentation public sector analytics
Cge leadership summit   ibm presentation public sector analyticsCge leadership summit   ibm presentation public sector analytics
Cge leadership summit ibm presentation public sector analyticsIBMGovernmentCA
 
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest links
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest linksClosing C-suite collaboration gaps: How CFOs can strengthen their weakest links
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest linksSpencer Lin
 
Digitization of hr slideshare kenny company 2018 pdf version
Digitization of hr slideshare kenny company 2018 pdf versionDigitization of hr slideshare kenny company 2018 pdf version
Digitization of hr slideshare kenny company 2018 pdf versionWill Yen
 
Transforming Business with Smarter Analytics
Transforming Business with Smarter AnalyticsTransforming Business with Smarter Analytics
Transforming Business with Smarter AnalyticsCTI Group
 
VY_FIMECC-S4Fleet_esite_valmis-low
VY_FIMECC-S4Fleet_esite_valmis-lowVY_FIMECC-S4Fleet_esite_valmis-low
VY_FIMECC-S4Fleet_esite_valmis-lowMathias Hasselblatt
 
Finance Today: reimagined to drive impact
Finance Today: reimagined to drive impactFinance Today: reimagined to drive impact
Finance Today: reimagined to drive impactMicrosoft
 
Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsMark Lawrence
 
IBM Solutions Connect 2013 Leadership Meet Keynote
IBM Solutions Connect 2013 Leadership Meet KeynoteIBM Solutions Connect 2013 Leadership Meet Keynote
IBM Solutions Connect 2013 Leadership Meet KeynoteIBM Software India
 
IBM SPSS Overview Text Analytics Brief
IBM SPSS Overview Text Analytics BriefIBM SPSS Overview Text Analytics Brief
IBM SPSS Overview Text Analytics BriefIan Balina
 
3 steps to enterprise talent success with Performance Profiles
3 steps to enterprise talent success with Performance Profiles3 steps to enterprise talent success with Performance Profiles
3 steps to enterprise talent success with Performance ProfilesInfor HCM
 
Big Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketingBig Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketingKevin May
 
HCL Corporate Presentation April 2011
HCL Corporate Presentation  April 2011HCL Corporate Presentation  April 2011
HCL Corporate Presentation April 2011Semalytix
 

Similar a Loras College 2014 Business Analytics Symposium | Daniel Rebella, Phil Pillsbury, Scott Groendal and Craig Vogel: Big Data Analytics in a New Information Era (20)

Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371
 
LOP14380USEN
LOP14380USENLOP14380USEN
LOP14380USEN
 
Breaking the data barrier: Lessons from analytically advanced Finance organiz...
Breaking the data barrier: Lessons from analytically advanced Finance organiz...Breaking the data barrier: Lessons from analytically advanced Finance organiz...
Breaking the data barrier: Lessons from analytically advanced Finance organiz...
 
Teaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leadersTeaching organizations to fish in a data-rich future: Stories from data leaders
Teaching organizations to fish in a data-rich future: Stories from data leaders
 
06 summary
06 summary06 summary
06 summary
 
Intro to ACE: Key strategies for Business Analytics Success
Intro to ACE: Key strategies for Business Analytics SuccessIntro to ACE: Key strategies for Business Analytics Success
Intro to ACE: Key strategies for Business Analytics Success
 
Cge leadership summit ibm presentation public sector analytics
Cge leadership summit   ibm presentation public sector analyticsCge leadership summit   ibm presentation public sector analytics
Cge leadership summit ibm presentation public sector analytics
 
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest links
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest linksClosing C-suite collaboration gaps: How CFOs can strengthen their weakest links
Closing C-suite collaboration gaps: How CFOs can strengthen their weakest links
 
Digitization of hr slideshare kenny company 2018 pdf version
Digitization of hr slideshare kenny company 2018 pdf versionDigitization of hr slideshare kenny company 2018 pdf version
Digitization of hr slideshare kenny company 2018 pdf version
 
Transforming Business with Smarter Analytics
Transforming Business with Smarter AnalyticsTransforming Business with Smarter Analytics
Transforming Business with Smarter Analytics
 
VY_FIMECC-S4Fleet_esite_valmis-low
VY_FIMECC-S4Fleet_esite_valmis-lowVY_FIMECC-S4Fleet_esite_valmis-low
VY_FIMECC-S4Fleet_esite_valmis-low
 
Finance Today: reimagined to drive impact
Finance Today: reimagined to drive impactFinance Today: reimagined to drive impact
Finance Today: reimagined to drive impact
 
01 big dataoverview
01 big dataoverview01 big dataoverview
01 big dataoverview
 
Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and Analytics
 
IBM Solutions Connect 2013 Leadership Meet Keynote
IBM Solutions Connect 2013 Leadership Meet KeynoteIBM Solutions Connect 2013 Leadership Meet Keynote
IBM Solutions Connect 2013 Leadership Meet Keynote
 
IBM SPSS Overview Text Analytics Brief
IBM SPSS Overview Text Analytics BriefIBM SPSS Overview Text Analytics Brief
IBM SPSS Overview Text Analytics Brief
 
3 steps to enterprise talent success with Performance Profiles
3 steps to enterprise talent success with Performance Profiles3 steps to enterprise talent success with Performance Profiles
3 steps to enterprise talent success with Performance Profiles
 
Big Data & Analytics Day
Big Data & Analytics Day Big Data & Analytics Day
Big Data & Analytics Day
 
Big Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketingBig Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketing
 
HCL Corporate Presentation April 2011
HCL Corporate Presentation  April 2011HCL Corporate Presentation  April 2011
HCL Corporate Presentation April 2011
 

Más de Cartegraph

Opening the Window to Data: Pella’s Journey - Creating Value with Information
Opening the Window to Data: Pella’s Journey - Creating Value with InformationOpening the Window to Data: Pella’s Journey - Creating Value with Information
Opening the Window to Data: Pella’s Journey - Creating Value with InformationCartegraph
 
The Quest for the Best: Not All Data is Created Equal
The Quest for the Best: Not All Data is Created EqualThe Quest for the Best: Not All Data is Created Equal
The Quest for the Best: Not All Data is Created EqualCartegraph
 
The Analytics CoE: Positioning your Business Analytics Program for Success
The Analytics CoE: Positioning your Business Analytics Program for SuccessThe Analytics CoE: Positioning your Business Analytics Program for Success
The Analytics CoE: Positioning your Business Analytics Program for SuccessCartegraph
 
The Journey to Exceptional Customer Experience
The Journey to Exceptional Customer ExperienceThe Journey to Exceptional Customer Experience
The Journey to Exceptional Customer ExperienceCartegraph
 
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...Cartegraph
 
Achieving Growth with Goals
Achieving Growth with GoalsAchieving Growth with Goals
Achieving Growth with GoalsCartegraph
 
Leveraging Financial Planning for Operational Analytics
Leveraging Financial Planning for Operational AnalyticsLeveraging Financial Planning for Operational Analytics
Leveraging Financial Planning for Operational AnalyticsCartegraph
 
Opportunities for you, your company and your world
Opportunities for you, your company and your worldOpportunities for you, your company and your world
Opportunities for you, your company and your worldCartegraph
 
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done Right
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done RightLoras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done Right
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done RightCartegraph
 
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports Analytics
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports AnalyticsLoras College 2014 Business Analytics Symposium | Dan Conway: Sports Analytics
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports AnalyticsCartegraph
 
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...Cartegraph
 
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...Cartegraph
 
Executive Panel | 2013 Loras College Business Analytics Symposium
Executive Panel | 2013 Loras College Business Analytics SymposiumExecutive Panel | 2013 Loras College Business Analytics Symposium
Executive Panel | 2013 Loras College Business Analytics SymposiumCartegraph
 
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...Cartegraph
 

Más de Cartegraph (20)

Opening the Window to Data: Pella’s Journey - Creating Value with Information
Opening the Window to Data: Pella’s Journey - Creating Value with InformationOpening the Window to Data: Pella’s Journey - Creating Value with Information
Opening the Window to Data: Pella’s Journey - Creating Value with Information
 
The Quest for the Best: Not All Data is Created Equal
The Quest for the Best: Not All Data is Created EqualThe Quest for the Best: Not All Data is Created Equal
The Quest for the Best: Not All Data is Created Equal
 
The Analytics CoE: Positioning your Business Analytics Program for Success
The Analytics CoE: Positioning your Business Analytics Program for SuccessThe Analytics CoE: Positioning your Business Analytics Program for Success
The Analytics CoE: Positioning your Business Analytics Program for Success
 
The Journey to Exceptional Customer Experience
The Journey to Exceptional Customer ExperienceThe Journey to Exceptional Customer Experience
The Journey to Exceptional Customer Experience
 
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...
Implementation of EPM for Improved Multi-Business Budgeting and Financial Rep...
 
Achieving Growth with Goals
Achieving Growth with GoalsAchieving Growth with Goals
Achieving Growth with Goals
 
Leveraging Financial Planning for Operational Analytics
Leveraging Financial Planning for Operational AnalyticsLeveraging Financial Planning for Operational Analytics
Leveraging Financial Planning for Operational Analytics
 
Opportunities for you, your company and your world
Opportunities for you, your company and your worldOpportunities for you, your company and your world
Opportunities for you, your company and your world
 
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...
Loras College 2014 Business Analytics Symposium | Steve Whinnery and Scott St...
 
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done Right
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done RightLoras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done Right
Loras College 2014 Business Analytics Symposium | Ron Dimon: EPM Done Right
 
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...
Loras College 2014 Business Analytics Symposium | Margie Flynn: Measuring Sus...
 
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...
Loras College 2014 Business Analytics Symposium | Greg Hedges: Social Risk or...
 
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...
Loras College 2014 Business Analytics Symposium | Gebhard Rainer: Building a ...
 
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports Analytics
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports AnalyticsLoras College 2014 Business Analytics Symposium | Dan Conway: Sports Analytics
Loras College 2014 Business Analytics Symposium | Dan Conway: Sports Analytics
 
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...
Loras College 2014 Business Analytics Symposium | Colleen McKenna: Measuring ...
 
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...
Loras College 2014 Business Analytics Symposium | Andy Stevens: Big Data Anal...
 
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...
Loras College 2014 Business Analytics Symposium | Aaron Lanzen: Creating Busi...
 
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...
Loras College 2014 Business Analytics Symposium | Tim Suther: New Opportuniti...
 
Executive Panel | 2013 Loras College Business Analytics Symposium
Executive Panel | 2013 Loras College Business Analytics SymposiumExecutive Panel | 2013 Loras College Business Analytics Symposium
Executive Panel | 2013 Loras College Business Analytics Symposium
 
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...
Best Practices in Financial Planning and Analysis | 2013 Business Analytics S...
 

Último

Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfChris Hunter
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptxMaritesTamaniVerdade
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docxPoojaSen20
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
Role Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptxRole Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptxNikitaBankoti2
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxDenish Jangid
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxnegromaestrong
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Shubhangi Sonawane
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...Nguyen Thanh Tu Collection
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.christianmathematics
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsMebane Rash
 
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural ResourcesEnergy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural ResourcesShubhangi Sonawane
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingTechSoup
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDThiyagu K
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxVishalSingh1417
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxheathfieldcps1
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 

Último (20)

Making and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdfMaking and Justifying Mathematical Decisions.pdf
Making and Justifying Mathematical Decisions.pdf
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
PROCESS RECORDING FORMAT.docx
PROCESS      RECORDING        FORMAT.docxPROCESS      RECORDING        FORMAT.docx
PROCESS RECORDING FORMAT.docx
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
Role Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptxRole Of Transgenic Animal In Target Validation-1.pptx
Role Of Transgenic Animal In Target Validation-1.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Seal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptxSeal of Good Local Governance (SGLG) 2024Final.pptx
Seal of Good Local Governance (SGLG) 2024Final.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
Ecological Succession. ( ECOSYSTEM, B. Pharmacy, 1st Year, Sem-II, Environmen...
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural ResourcesEnergy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
Energy Resources. ( B. Pharmacy, 1st Year, Sem-II) Natural Resources
 
Grant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy ConsultingGrant Readiness 101 TechSoup and Remy Consulting
Grant Readiness 101 TechSoup and Remy Consulting
 
Measures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SDMeasures of Dispersion and Variability: Range, QD, AD and SD
Measures of Dispersion and Variability: Range, QD, AD and SD
 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 

Loras College 2014 Business Analytics Symposium | Daniel Rebella, Phil Pillsbury, Scott Groendal and Craig Vogel: Big Data Analytics in a New Information Era

  • 1. © 2014 IBM Corporation Big Data & Analytics in a New Information Era
  • 2. © 2014 IBM Corporation2 Data at Scale Data in Many Forms Data in Motion Data Uncertainty Big Data Is All Data Volume Variety Velocity Veracity
  • 3. © 2014 IBM Corporation3 Why Act Now? Create IT AgilityManage RiskOutperform Only 1 in 5 organizations allocate more than 50% of IT budget to new projects Of leaders cite growth as the key source of value from analytics Source: 1 - IBM IBV Study: Analytics: A blueprint for value, October 2013 2 - IBM Global Study on the Economic Impact of IT Risk, 2013 3 - IBM Global Data Center Study, 2012 Of respondents were impacted by a cyber security breach over the past 24 months 46%75% 1in5
  • 4. © 2014 IBM Corporation4 Big Data & Analytics is a journey. Build a culture that infuses analytics everywhere Invest in a big data & analytics platform Imagine It. Realize It. Trust It. Put big data & analytics in the context of business need
  • 5. © 2014 IBM Corporation5 *More than 20 percent increase in analytics-based jobs between now and 2018. 20% U.S. Department of Labor Forecasts* Skills Roles Mastery Imagine It. Start with your people. Novice Builder Leader Master
  • 6. © 2014 IBM Corporation6 Realize It. Insight drives key business imperatives. Create new business models Optimize operations; counter fraud & threats Attract, grow, retain customers Transform management processes Manage risk Improve IT economics Big Data & Analytics Big Data & Analytics
  • 7. © 2014 IBM Corporation7 Information Integration & Governance Systems Security On premise, Cloud, As a service Storage Big Data & Analytics Infrastructure New/Enhanced Applications All Data What action should I take? Decision management Cognitive Fabric Landing, Expl oration and Archive data zone EDW and data mart zone Operational data zone Real-time Data Processing & Analytics What is happening? Discovery and exploration Why did it happen? Reporting and analysis What could happen? Predictive analytics and modeling Deep Analytics data zone Trust It. A new architectural approach is required.
  • 8. © 2014 IBM Corporation8 Enterprise Analytics Driving a Future-Ready Enterprise Dan Rebella, IBM Business Analytics 27th March 2014
  • 9. © 2014 IBM Corporation9 IBM’s 2014 C Suite Study: Analytics drives Performance Acceleration This report is IBM’s 1st study of the entire C-Suite --- and the 17th in the ongoing series of CxO studies developed by the IBM Institute for Business Value. We now have data from more than 23,000 interviews stretching back to 2003. Our latest study draws on input from: 1.CEOs 884 2.CFOs 576 3.CHROs 342 4.CIOs 1656 5.CMOs 524 6.CSCOs 201
  • 10. © 2014 IBM Corporation10  CEOs share control with customers “We want to hear everything and anything our customers have to say. That will help us establish one-on-one relationships with our customers and offer them better services more efficiently.” CEO Transportation A full 1/3rd of CEOs believe their C-Suite is out of touch with their customers.  CIOs look outward to generate new value “The most important customer-rated initiative we’re investing in is analytics to give us a complete understanding of the real needs of current and future customers.” CIO Telecom Shifting from “service provider” to “critical strategic enabler”. Leverage Analytics to create deep insights from structured unstructured data. Implement leading edge technologies for the front office.  CFOs step up to help create new business models “We must make decisions that are based on facts, not feelings.” CFO Hospitality Integrate financial and non-financial data for an enterprise single version of the truth Enable open and transparent information across the enterprise to optimize Customer Profitability IBM’s 2014 C Suite Study: What’s the Cs are saying and focusing …
  • 11. © 2014 IBM Corporation11 CFOs rank second only to CEOs in collaborative C-suite influence C-Suite collaboration partners Source: Question B6--Which of your C-suite peers do you work most closely with in support of the enterprise? 78% 65% 24% CEO CFO All others Source: “CFO insights from the Global C-Suite Study”, IBM Institute for Business Value, 2014 Finance has a role in bringing balance to the funding of innovation. We play a role in challenging ideas and calling out where they are not working. Finance applies discipline to the process CFO, Life Sciences, Unites States ”
  • 12. © 2014 IBM Corporation12 Transform the system of engagement Span finance and operations, risk & performance management Infuse scenario and predictive intelligence Guided business processes, mobile, collaboration Financial & Operational Performance Management Narrative Reporting & Disclosure Management Sales Performance Management Governance, Risk and Compliance Predictive intelligence and scenario analytics Three Analytics imperatives drive a future-ready enterprise Big data platform 1 2 3
  • 13. © 2014 IBM Corporation13 Drive collaborative performance management: Engage all the right people when needed … Finance Executives Managers Line of business IT
  • 14. © 2014 IBM Corporation14 Span finance & operations, risk & performance management Sales Marketing Finance Operations HR • Campaign scorecards • Promotion plans • Customer and product profitability • Revenue plans • Sales dashboards • Sales forecasts • Incentive compensation • Quota plans • Territories • Sales channels • Enterprise scorecards • Strategic financial plans • Profit and loss • Balance sheets • Cash flow • Workforce KPIs • Headcount plans • Salary and compensation • Staffing plans • Training and development • Operational KPIs • Strategy and operations plans • Capacity and inventory plans • Product allocation • New products Strategy and activity-aligned organization Establish one comprehensive, analytic, planning, and scorecarding platform
  • 15. © 2014 IBM Corporation15 Apply scenarios and range plans to account for uncertainty and risk • Model Build scenarios reflecting range of future market conditions • Collaborate Across business units and functions Capture variability of input drivers • Report & Analyze Create range of outcomes Analyze sensitivity of outcomes • Plan For multiple outcomes Range of Outcomes Driver Sensitivity Scenario analysis
  • 16. © 2014 IBM Corporation16 Build your Analytics agenda to enable a Customer Centric and Future Ready Organization Data collection New business modeling Profitability and pricing Performance scorecarding Error checking Decrease effort Increase focus Process monitoring Increase in value from analytic initiatives Transform the system of engagement Infuse scenario and predictive intelligence Span finance and operations risk & performance management
  • 17. © 2014 IBM Corporation17 © 2014 IBM Corporation17

Notas del editor

  1. Organizations that outperform do so because they are data-savvy, insight-driven and infuse analytics in everything they do.  • They are starting with the key imperatives – many start with activities around customer (Attract, grow, retain customers), and traverse virtually all areas of the organization, including even creating new business models based on data  From working with clients across the globe, the areas of analytics where we have seen big data create huge value in six key business imperatives: In customer, the use of social media analytics on reputation in the marketplace to inform customer relationships, marketing, product and pricing decisionsTo finance for profit optimization, to streamlining operations with predictive maintenance, to real-time risk-aware decisions.Example: Some of these interaction opportunities come when a customer contacts customer service. Empowering these customer service representatives with the knowledge, driven by analytics and bolstered by the information captured throughout the conversation, can determine the correct strategy and actionBusiness Partner value: Our client facing presentations for each of these Business Imperatives are available on our Big Data & Analytics PartnerWorld page to enable our partners to have the right business conversations to identify client imperatives. Our most successful clients around the world have tackled challenges across customer, finance, risk and operations - deploying leading edge thinking, all supported by the foundation from IT that provides agility and cost-effective scale.From working with these clients, we have seen big data and analytics create huge value in the following areas:In customer, the use of social media analytics on reputation in the marketplace to inform customer relationships, marketing, product and pricing decisions. To finance for profit optimization, to streamlining operations with predictive maintenance, to real-time risk-aware decisions. To improve public safety by helping to detect and prevent threat with better surveillance and intelligence in real-time. Transition: So why are organizations acting now?
  2. NOTE TO SPEAKER:Your VITAL role. It’s vital that IBM Business Analytic Executive Keynote’s are delivered confidently and effortlessly. IBM Business Analytics has staked out a “leadership” position by virtue of our organic development of our technologies, acquisitions, and business leadership and this presentation includes many of the key thoughts that make the case for IBM Business Analytics (all of our capabilities) as the “the best partner for your analytics journey”. Presentation Objectives. The presentation objectives are designed to educate, influence, create urgency, and clarify why IBM is a company with whom you should take next steps with.Presentation Approach. This presentation combines the “CFO insights from the Global C-Suite Study, IBM 2014” (slides 2-10) and our Performance Management value proposition (slides 15-24) into one 60 minute presentation. A demo is presented at slide 25.Presentation Support. If you have any questions or comments in preparation or following delivery, please contact Doug Barton > bartond@us.ibm.com or Tony Levy > tlevy@us.ibm.com or Chad Peruba > cperuba@us.ibm.comDemos. This presentation includes one demo with scripts that occurs at slides 25. Please study this carefully.Acknowledgements. A special thanks to both Jason Salares/Ottawa/IBM@IBMCA and Silvia Marcovici/Toronto/IBM@IBMCA for their contributions to this keynote in the development of the demo.MAIN POINT: IBM is committed to being your partner for Business Analytics.SPEAKER NOTES:Thanks _________. It’s a real pleasure to be with you and to join our other presenters on this action packed agenda today. On behalf of all my colleagues at IBM Business Analytics, let me say that we are all very excited to be here to share our annual installment of the Finance Forum; Finance Forum is our premier global event that begins each spring and travels to more than 50 cities and 30 countries around the world. It’s all about practical approaches, actionable insights, and valuable information about innovations that can help you grow profitably, address regulation and risk in uncertain times. Now, as we talk with clients around the world, it is clear that finance organizations are being called to deliver stronger BUSINESS FORESIGHT through analytics. This requires new tools and disciplines and skills. The best companies create an analytical culture that brings these together to DRIVE A FUTURE-READY ENTERPRISE. By going this, the best finance organizations become authentic trusted advisors to business units.The purpose of this presentation is to share best-practices and approaches to achieve this.Now, I know many of you have been customers for many years – we want to thank you – you are likely using our solutions in several performance management processes within your organization right now. And still others are hearing about IBM Business Analytics for virtually the first time. To those of you who are new to IBM, a special welcome, thanks for being with us. We are glad you chose to join in and are confident your time with us will be valuable.<<END>>-----------------------------------------------------------------------------------------------AbstractHeightened volatility, uncertainty and risk are now part of the normal course of business. Everything from consumer demand, to commodities prices and exchange rates remain volatile. Regulation is increasing and the consequences are unpredictable. How to drive profitable growth and manage risk in uncertain times is on everyone’s mind. Finance organizations must drive a future-ready enterprise that helps the business make better decisions by anticipating the future. They need to adopt new tools and disciplines to delivering stronger business foresight through analytics in order to improve management decision-making:• Align initiatives and resources with corporate objectives and market events• Gain new insight into the drivers of revenue, profit and working capital• Create timely, reliable forecasts that align business costs with new levels of business activity• Evaluate the performance of products, customers, channels and suppliers • Deliver accurate and timely performance and financial data and analysis to internal and external stakeholders• Align sales strategy and compensation programs with corporate objectives and compliance mandates• Improve insight and responsiveness to the effect of external and internal risks on profits, the balance sheet and cash flowNow is the time to automate and transform critical performance, governance and risk management processes, to thrive in the recovery, out in front and stronger than ever.
  3. MAIN POINT: In the midst of this, we asked 576 CFOs how they are helping their enterprises better anticipate and act on risks and opportunities.SPEAKER NOTES:In the midst of this environment, and as part of the most recent global C-suite study, IBM spoke at length with more than 570 CFOs and senior Finance executives from around the world about their accomplishments and aspirations. This was part of a broader series of interviews with 4,183 top executives covering 20 industries and representing six C-suite roles – CEO, CFO, CIO, CMO, CHRO, and CSCOs (supply chain). When we compared these recent CFO conversations to those from previous IBM Global C-Suite studies, an expanding CFO agenda emerged. At the center of this broadening agenda is a clear message – CFOs and their Finance organizations must focus on enterprise value creation by improving standards and analytical effectiveness. SEGUE: What did we learn?<<END> 
  4. MAIN POINT: The CFO is the number two executive in the corporation.SPEAKER NOTES:The CFO’s role is a pivotal one, as all top executives recognize. CxOs say they work more closely with the CFO than with any other C-suite colleague except the CEO. When asked “Which of your colleagues do you work most closely with in support of the enterprise?” and select TWO:The CEO was mentioned 78% of the timeThe CFO was mentioned 65% of the timeAnd the rest of the C-suite (CIO, CMO, CHRO, CSCO) on average were mentioned 24% of the time.SEGUE: How effective are CFOs in coping with new pressures placed on them?<<END>
  5. MAIN POINT: Three analytic imperatives drive a future-ready enterpriseSPEAKER NOTES:So how are companies like [McCormick] and [Mueller] achieving these results? Leaders in analytics are investing in three areas. They:Transform the system of engagement with internal users.Span finance & operations, risk & performance management.Infuse scenario & predictive intelligence.Transform the system of engagement with internal users.The workforce closest to the customer value chain is increasingly going mobile. As a result, PM systems need to engage this workforce with mobile interfaces so that, for instance, sellers can update sales forecasts directly into smartphones and tablets with uninterrupted productivity, and warehouse managers can review and update performance scorecards as they inspect facilities. Dashboards, reports all need to be accessed through mobile devices.As more users contribute to the PM system, latency in workgroup collaboration needs to be reduced. Social Business capabilities need to be integrated into our PM systems so that workgroups can quickly collaborate and make decisions quickly. Instead of hours or days to set up meetings to review performance and decide on actions, work groups can collaborate through integrated social business capabilities on mobile devices and standard laptops to decide quickly.The IBM solutions advantage is the ability to combine mobile and social business to reduce latency and improve collaborative decision-making – to help drive new systems of engagement with internal users so that all the right users are benefiting from PM systems as frequently as needed.Span finance & operations, risk & performance management.Linking financial and operational performance management. With a deeper understanding of drivers we can then link financial and operational performance management - demand plans automatically update revenue plans, and call-center staffing plans automatically update divisional expense plans, and so forth across the enterprise. This creates more lead time – more foresight – as operational causes are linked to financial outcomes. Imagine if you had an extra month or quarter of reliable foresight on revenue or expenses. This extra lead time gives our business managers more time to assess alternatives and kick-off new initiatives that might have an impact sooner. IBM solutions do this better than other tools that were designed primarily for cost-center budgeting.Infuse scenario & predictive intelligence.We need to apply advanced statistical techniques to discover the causal relationship between operational drivers (such as inventory turns, trouble tickets, customer turnover) and financial metrics such as revenue automatically from the data. This provides more reliable root cause analysis. We then need to use these models to project the state of the metrics into the future as a more reliable baseline forecast. This approach would be applied to the most material and volatile metrics. We also need to apply scenario and range planning to account for uncertainty and risk. By modeling a range of inputs and running 100s or 1000s of simulations we can model a range of outputs; and then plan on a range of outputs. We’ll talk more about this in a moment.Big data PlatformAll these capabilities must capitalize on more diverse data sources than ever before from traditional ledgers to operational sources: operational data on demand, customer, econometric, supply chain, R&D, risk, etc. SEGUE: How do we enable these analytic imperatives?<<END>
  6. MAIN POINT: Leading analytics companies establish a dynamic, reliable performance management system that links finance and operations in order to steer business performance and adapt to risk.SPEAKER NOTES:Leading analytics companies link financial and operational performance management - demand plans automatically update revenue plans, and call-center staffing plans automatically update divisional expense plans, and so forth across the enterprise. This creates more lead time – more foresight – as operational causes are linked to financial outcomes. Imagine if you had an extra month or quarter of reliable foresight on revenue or expenses. This extra lead time gives our business managers more time to assess alternatives and kick-off new initiatives that might have an impact sooner. IBM solutions do this better than other tools that were designed primarily for cost-center budgeting.Furthermore, in volatile times, companies need to rely more on reliable, monthly or quarterly forecasts rather than annual budgets - that are outdated 1-2 quarters into the fiscal year – in order to steer business performance. Our solutions provide automated workflow, automated alerts and process reporting to help analysts automate the distribution, collection and aggregation of the forecasts from all the right participants in your enterprise. Security and access controls help automate and coordinate submittals and approvals. You can run process reports to provide real-time visibility into the status of forecasts whether they are„not started“, „incomplete“, „in progress“, or successfully ‚submitted“. We have customers where over 1,000 cost center managers are updating driver-based, rolling forecasts on a monthly basis, and rolling these up into consolidated corporate P&L, Balance Sheet and Cash Flow projections. Other tools, designed for cost-center budgets, are limited in these capabilities.SEGUE: How do we enable these analytic imperatives?<<END>
  7. MAIN POINT: Build your own agenda.SPEAKER NOTES:We’ve reviewed three analytic imperatives that leading analytic companies are pursuing. Your opportunity is to build your own agenda. Where ever you are on your journey towards a future-ready enterprise:Continue to spend less staff time on error checking, data collection and process monitoring.And spend more time on value added work: new business modeling, profitability & pricing and performance scorecarding.SEGUE: What are the next steps?<<END>