event & meeting management technology - technology and … · •channel management •loan...

© 2011 IBM Corporation

Business Analytics software

Technology and Trends for Smarter Business Analytics

Don Campbell

Chief Technology Officer, Business Analytics, IBM



Where organizations are focusing Business Analytics

• Customer Churn

• Marketing Spend

• Sales Productivity

Enhance Customer Understanding

• Customer Service

• Channel Management

• Loan Origination

Foster Collaborative Decisions

• Trading Advantage

• Fraud Protection

• Health Monitoring

Optimize Real-Time Decisions

• Financial & Risk Management

• Demand Visibility

• Strategy Alignment

Enable Enterprise Visibility

Underpinned by trusted data and an integrated technology foundation

•Reducing your TCO

•Accelerating time to business outcomes



Organizational, not data or financial concerns, are holding back adoption

Ability to get the data

Lack of management bandwidth due to competing priorities

Lack of skills internally in the line of business

Lack of understanding how to use analytics to improve the business

Culture does not encourage sharing information

Ownership of the data is unclear or

governance is ineffective

Lack of executive sponsorship

Concerns with the data

Perceived costs outweigh the projected benefits

No case for change

38%

34%

28%

24%

23%

23%

22%

21%

21%

15%

Primary obstacles to widespread analytics adoption

Organizational

Data

Financial

Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute of Business Value study. Copyright © Massachusetts Institute of Technology 2010.



Historic trend analysis and forecasting

Standardized reporting

Data visualization

Analytics applied within business

processes

Simulations and scenario development

Clustering and segmentation

Regression analysis, discrete choice

modeling, and mathematical optimization

Data visualization

Simulations and scenario development

Analytics applied within business processes

Regression analysis, discrete choice

modeling, and mathematical optimization

Historic trend analysis and forecasting

Clustering and segmentation

Standardized reporting

Increased or sustained value

Decreased in value

Today In 24 months

Organizations want to “see” insights more clearly – and act on them

Analytic techniques that provide the most value

Source: Analytics: The New Path to Value, a joint MIT Sloan Management Review and IBM Institute of Business Value study. Copyright © Massachusetts Institute of Technology 2010.



Secure access to analytic content online and offline

Author once

Simplified user experience across devices

Support a wide range of devices

– iPad, iPhone

– Blackberry

– Android

Leverage device capabilities

– GPS

– Accelerometer

– Multi-touch

Extend applications beyond traditional analytics

– Data collection

Analytics is about information for better decisions while Mobility is

about what people need the most – access to information ‘anywhere’

Mobility



Cloud and Massive Scale Analytics

Cloud infrastructures support

the ability to scale on

demand

Volumes of data lead to the

desire for massive scale

analytics

Speed vs quantity tradeoffs

‘Watson’ shows future value

of massive scale and learning

systems

7



Watson answers a grand challenge

Can we design a computing system that rivals a human’s ability to answer

questions posed in natural language, interpreting meaning and context and

retrieving, analyzing and understanding vast amounts of information in real-time?



Geospatial and Temporal Analytics

Location and Time dimensions are increasingly more important aspects of data

Query by ‘where’ you are, not just ‘who you are’

Results are NOT always a map

Location can link unrelated content – Internal data / public data

Time has special properties – Known by all – Changes properties as it moves

•Past (analytic) •Present (realtime) •Future (predictive)

Business ‘state’ at specific times is growing in important for regulatory compliance

9



Consumable Analytics

Research shows penetration of analytics into client organizations between

18% - 24% (why not 50%? 75%? 90%?)

As the data we are asking users to make sense of is getting more complex, we

must make information easier to consume to grow adoption

Two ends of the spectrum: make the systems smarter (automation)

leverage the power of human perception and cognition (visualization)

Automation Visualization



Visualization – BI Perspectives 2011 - Agenda (many-eyes.com)



IBM Confidential

Attitudinal

Interactions

Descriptive

Behavior

Social Media

Online Surveys

Points of Interactions

Social Media Analytics

Leading Detractors

Leading Advocates

Social Leaders

Quantify, Monitor &

Segment by Content

Business Analytics

Optimize and Execute Campaigns

Viral marketing offers to customer Special offers

for Advocates and Potential

Advocates

Scoring for propensity to buy

Scoring against Social Leader levels



13

A Vision for the future of analytics …

To change the way people think;

To change the way companies decide.

How?

• Visibility across formal and informal

boundaries

• Dynamic decision networks and

information hubs

• A collective intelligence greater than any

individual



© Copyright IBM Corporation 2011 All rights reserved. The information contained in these materials is provided for informational purposes only, and is provided AS IS without warranty of any kind, express or implied. IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, these materials. Nothing contained in these materials is intended to, nor shall have the effect of, creating any warranties or representations from IBM or its suppliers or licensors, or altering the terms and conditions of the applicable license agreement governing the use of IBM software. References in these materials to IBM products, programs, or services do not imply that they will be available in all countries in which IBM operates. Product release dates and/or capabilities referenced in these materials may change at any time at IBM’s sole discretion based on market opportunities or other factors, and are not intended to be a commitment to future product or feature availability in any way. IBM, the IBM logo, Cognos, the Cognos logo, and other IBM products and services are trademarks of the International Business Machines Corporation, in the United States, other countries or both. Other company, product, or service names may be trademarks or service marks of others.

event & meeting management technology - technology and … · •channel management •loan...

Documents