how companies are achieving competitive advantage through analytics
DESCRIPTION
Presentation by Tony Boobier from IBM on Esri European User Conference.TRANSCRIPT
How companies are achieving competitive advantage through analytics
Tony Boobier
Insurance Leader EMEA
1 © 2011 IBM Corporation
Insurance Leader EMEA
IBM Business Analytics
Dramatic changes across industries require new approaches…
EconomyInvestment income is no
longer a dependable source of profit
CustomersCustomers are more price conscious and less loyal and demand personalized, high service levels
Channel managementNeed to simplify back-office processes so
that distribution channels can be more efficient and profitable
2 © 2011 IBM Corporation
CompetitionCompetition is intensifying
with increased mergers and acquisitions, divestitures,
and new entrants
high service levels
RegulationRegulatory reporting requirements and a demand for transparency are increasing
RiskTechnology investments driven by regulatory requirements need to be leveraged in other business areas
GrowthGrowth market segments have become the focus of expansion with a need to grow the current
customer base
A need for change is a need for smarter planet.
3 © 2011 IBM Corporation
‘We have entered the decade of Smart’Sam Palmisano, CEO IBM 2010
Our world is becoming
INSTRUMENTEDOur world is becoming
INTERCONNECTED
4 © 2011 IBM Corporation
INTERCONNECTEDVirtually all things, processes and waysof working are becoming
INTELLIGENT
INSTRUMENTEDWe now have the ability to measure, sense and see the exact condition of everything.
•Today, there are 1 billion transistors for each person on the planet. 1
•By 2010, 30 billion RFID tags will be embedded into our world and across entire
5 © 2011 IBM Corporation
embedded into our world and across entire ecosystems.1
Everything will become instrumented:supply chains, healthcare networks,cities and even natural systems like rivers.
1 Sam Palmisano speech, November 12, 2008
INTERCONNECTED
People, systems and objects can communicate and interact with each other in entirely new ways.
• The internet of people is 1 billion strong. Almost one third of the world’s population will be on the web by 2011.1
• There were nearly 4 billion mobile phone subscribers
6 © 2011 IBM Corporation
• There were nearly 4 billion mobile phone subscribers worldwide by the end of 2008. 1
The Internet of things—cars, appliances, cameras, roadways, pipeline, pharmaceuticals and even livestock—is headed to 1 trillion.
1 Sam Palmisano speech, November 12, 2008
INTELLIGENT
We can respond to changes quickly and accurately,and get better results by predicting and optimizing for future events.
• Every day, 15 petabytes of new information are beinggenerated. This is 8x more than the information in all U.S. libraries.1
• An average company with 1,000 employees spends
7 © 2011 IBM Corporation
• An average company with 1,000 employees spends $5.3 million a year to find information stored on its servers. 1
New computing models manage the massive amounts of data generated by the proliferation of end-user devices, sensors, and actuators. Combined with advanced analytics, these technologies are makingus smarter.
1 New Intelligence White Paper from ThinkForward website
+ + =An opportunity to think and act in new ways—
8 © 2011 IBM Corporation
An opportunity to think and act in new ways—economically, socially and technically.
‘Location’ is a key component of thinking in different ways
We are Already Integrating Location with Analytics
• Postal delivery optimisation• Movement analytics for tourists• Minority integration support• Law enforcement
9 © 2011 IBM Corporation
• Law enforcement• Railroad track analysis• Cancer research• Insurance fraud analytics • Flood prediction
Welcome to the world of ‘Geo Analytics’
Examples of Spatial Analytics in Use
Using IBM DB2 database with Spatial Extender:
BNSF - incredibly complex spatial queries for railroad analyticsEmory University - Dr. Fusheng Wang - cancer researchIrish insurance company - analysis of insurance flood riskMedicare Australia – analysis of healthcare fraud analysis
10 © 2011 IBM Corporation
IBM and ESRI
2011 ESRI wins Global Technology Alliance Award : IBM partner conference Las Vegas
2011 SpotOn Systems Inc (acquired by ESRI last week) wins ISV Achievement Award Las Vegas
12 © 2011 IBM Corporation
week) wins ISV Achievement Award Las Vegas
What smart things are happeningin your industry today?
14 © 2011 IBM Corporation
Where are the greatestopportunities for progress?
New Intelligence:A smarter planet gives organizations the vision to see without being there.
German supermarket: Uses smart RFID labels to manage inventory with real-time sales data, improving
Matiq: Employs RFID tags to trace meat and poultry from the farm to store shelves to ensure safety and freshness
Where does the location element of a ‘Smart Planet’ fit in….?
15 © 2011 IBM Corporation
manage inventory with real-time sales data, improving product availability and enhancing the consumer experience.2
the farm to store shelves to ensure safety and freshness and provide more transparency to consumers.1
U.S. power company: Saves $1.2 million annually by using an RFID-based fleet optimization system to reduce the amount of repair work on their vehicles.2
IBM Deep Thunder: Leverages computing power, visualization and data analytics to generate high-resolution weather forecasts for areas as fine as 1 to 2 square kilometers.3
1 Approved Smart Planet Client References2 Smarter planet sales deck3 Sam Palmisano speech, November 12, 2008
Green and Beyond:A smarter planet empowers organizations to do more, using less.
StatoilHydro: Links advanced real-time sensing capabilities in the field to collaborate and analyze
Landmark: Revolutionizes petroleum frontier exploration in Texas by integrating data sources to
Where does the location element of a ‘Smart Planet’ fit in….?
16 © 2011 IBM Corporation
capabilities in the field to collaborate and analyze resources across the enterprise for an expected 5% boost in oil and gas production and 30% cost reduction.1
exploration in Texas by integrating data sources to increase the likelihood of finding profitable sources of oil.1
Stockholm, Sweden: An intelligent toll system in the city center resulted in 20% less traffic, 40% lower emissions and 40,000 additional users of the public transportation system.1
IBM’s Carbon Tradeoff Modeler: Manages and performs analytics to help companies reduce emissions and make smarter, more cost-effective energy choices.2
1 Approved Smart Planet Client References2 Smarter planet sales deck
Smart Work:A smarter planet puts organizations in position to be first and be right.
British Airways: Uses mobile device check-in and other self-service technologies to help facilitate a
Canadian airlines: Use passenger information to predict the number of no-shows for each flight, so they
Where does the location element of a ‘Smart Planet’ fit in….?
17 © 2011 IBM Corporation
other self-service technologies to help facilitate a trouble-free travel experience and save the airline $3.50 per passenger.2
predict the number of no-shows for each flight, so they can strategically overbook while minimizing the risk of bumping passengers.1
Max Bahr: A Dynamic Inventory Optimization Solution enables the retailer to meet demand for any of 40,000 products in more than 80 outlets with low replenishment and storage costs—boosting customer service ratings to 99%. 2
IBM Research Zurich Lab: Uses visualization software to render a 3D model of each patient, allowing doctors to interact with data that improves patient care.2
1 Smarter planet sales deck2 Approved Smarter Planet Client References
Dynamic Infrastructure:A smarter planet enables organizations to solve the problem before the problem occurs.
British banks : Utilize real-time data analytics of complex financial models to help understand and
Bank of Montreal: Created a synchronized secondary data center 100 kilometers from its primary facility to
Where does the location element of a ‘Smart Planet’ fit in….?
18 © 2011 IBM Corporation
complex financial models to help understand and manage their exposure to risk.1
River and Estuary Observatory Network: Will create the first technology-based real-time environmental monitoring and forecasting network to guide better policy, management and education for the Hudson River and estuaries worldwide.2
IBM Fire Program Analysis: Uses unique mathematical algorithms to determine where wildfires will likely occur, and helps optimize government funds and resources for battling those fires.1
data center 100 kilometers from its primary facility to meet government regulations and ensure the safety and availability of data in the event of a disaster.2
1 Original deck2 Approved Smart Planet Client References
IBM Research with MIT Management Research shows the urgency to act on analytics and tells about the paths organizations are taking to transformation
Research findings
The Roadmap to Success
19 © 2011 IBM Corporation
Competitive advantage being
created by analytics is widening
Competitive analytics requires mastery of three
key competencies
There are two paths to analytic
sophistication
Page 19 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
The Journey from Aspirational to Transformed
Transformed(Leading)
Experienced
3 Key Analytic Segments of Ability
20 © 2011 IBM Corporation
Aspirational(Growing)
Experienced(Learning)
Page 20 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Finding competitive advantage using analytics has increased in 12 months
Respondents who say analytics creates a
competitive advantage
58%
Organizations achievinga competitive advantage
with analytics are
2.2x
22 © 2011 IBM Corporation
58%2011
37%2010 57%increase
2.2xmore likely to
substantially outperform their industry peers
Ratio of respondents who indicated analytics creates a competitive advantage to those who indicated it did not and the likelihood they also indicated their organizations was “substantially outperforming their competitive peers”. The ratio was 2.0 to1 in 2010.
Page 22 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Transformed or ‘Leading’ companies are getting greatercompetitive advantage by expanding the use of analytics
Respondents who cited a competitive advantage using analytics year-over-year
80%
2010
2011
Transformed / Leading 23%increase65%
23 © 2011 IBM Corporation
63%
2010
2011
38%
2010
2011
39%
Experienced / learning
Aspirational / Learning
66%increase
5%decrease
Page 23 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Transformed (‘leading’) organizations are creating advantage by intensely focusing on applying analytics in three key areas of business
86%
Transformed
Enterprise risk
62%
Transformed
Customers
72%
Transformed
Speed of decisions
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86%
6%
0%
Experienced
Aspirational
62%
49%
34%
Experienced
Aspirational
Page 25 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
72%
49%
22%
Experienced
Aspirational
Percentage indicates those who exhibited an intense level of focus on a particular subject area.
Where can Analytics help– and where best is the location component?
10% 20% 30% 40% 50% 60% 70%
Majority of respondents
Enhancing customers’ overall experience
Optimizing the match of sales reps to customers
Defining marketing campaigns
Identify target customers
Allocating employees’ time and efforts
Customer
27 © 2011 IBM CorporationPage 27 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Percentage of respondents who indicated their organ ization relies on data and analytics to execute the se activities. The question choices ranged from 1= Intuition /Experience, 3= E qual parts experience / data to 5= Data / Analytic s. Respondents above selected 4 or 5.
Aspirational Experienced Transformed
Allocating employees’ time and efforts
Evaluating employee performance
Establishing organizational strategic objectives
Developing / refining new products or services
Streamlining operational processes
Managing supply chain or logistics
Allocating annual budget
Establish financial forecastsFinancial
Operational
Strategic
HR
How to Implement Analytics : 3 areas of competence
Manage, Understand, Act on the data
Analytic CompetenciesAnalytic Competencies
Skills developed as a core discipline
Information managementInformation management
Solid information
Data-oriented cultureData-oriented culture
Fact-driven leadership
Analytic skills and tools
1.Manage the data 2.Understand the data 3.Act on the data
28 © 2011 IBM Corporation
core discipline
Enabled by a robust set of tools and solutions
Delivers actionable insights embedded
in processes
Solid information foundation
Standardized data management practices
Insights accessible and available
Analytics used as a strategic asset
leadership
Strategy and operations guided by
insights
Page 28 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Implementation
Transformed ‘leading’ organizations take either an enterprise or specialist path
Paths to transformation
Collaborative path
Information
TransformedHigh
Governance
Enterprise driven
33 © 2011 IBM CorporationPage 33 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Specialized path
Information management
proficiency
Analytic skills and tools proficiency
AspirationalLow
Governance approach
Line-of-businessdriven
HighLow
Collaborative organizations have to resist the urge to perfect the data
Key characteristics respondents said would increase confidence in data used for decisions
More timely data 31%
35 © 2011 IBM CorporationPage 35 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
More relevant data
Better data collection
Better traceability of data
More precise data
Respondents were able to select up to three choices from a longer list of options. These are the top five answers.
24%
31%
21%
22%
Specialized organizations face problems ahead
Most view organizational challenges as more difficult to resolve than technology
Respondents who rate these challenges as extremely difficult to resolve
36 © 2011 IBM Corporation
extremely difficult to resolve
44%Organizationalchallenges
24% 1.8xmore difficult
Technologychallenges
Page 36 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Focus on improving your analytic competencies
Three Steps to Transformation
Assess your analytic sophistication
Establish a strong Create a culture Develop a robust
1
2
37 © 2011 IBM Corporation
Establish a strong information foundation
Create a culture that takes action
on analytics
Develop a robust set of analysis skills and tools
Tie approach together with an information agendawhich includes a location component
3
Page 37 11/29/2011 Source: The New Intelligent Enterprise a joint MIT Sloan Management Review and IBM Institute of Business Value analytics research partnership. Copyright © Massachusetts Institute of Technology 2011.
Summary
41 © 2011 IBM Corporation
• Welcome to the decade of ‘Smart’• Analytics provide measureable differentiation• Location analytics can be a critical component
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