business insight and predictive analysis

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1 © 2011 IBM Corporation Business Insight and Predictive Analysis Dorian Dorian Hodorogea Hodorogea ( ( [email protected] [email protected] ) ) Business Analytics and Optimization Presales Business Analytics and Optimization Presales

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Page 1: Business Insight and Predictive Analysis

1 © 2011 IBM Corporation

Business Insight and

Predictive Analysis

Dorian Dorian HodorogeaHodorogea (([email protected]@ro.ibm.com))

Business Analytics and Optimization PresalesBusiness Analytics and Optimization Presales

Page 2: Business Insight and Predictive Analysis

2 © 2011 IBM Corporation

0-30% 30-50% Over 50%

Amount of information managers receive that has no value

Amount of information managers receive that has no value

Source: Accenture survey released January 4, 2007

Page 3: Business Insight and Predictive Analysis

3 © 2011 IBM Corporation

0-30% 30-50% Over 50%

Amount of information managers receive that has no value

Amount of information managers receive that has no value

Source: Accenture survey released January 4, 2007

Page 4: Business Insight and Predictive Analysis

4 © 2011 IBM Corporation

1-3 Hours Over 3 Hours0-30 min

How much time do managers wasteeach day, searching for information?How much time do managers waste

each day, searching for information?

Source: Accenture survey released January 4, 2007

Page 5: Business Insight and Predictive Analysis

5 © 2011 IBM Corporation

0-30 min 1-3 Hours Over 3 Hours

Time managers waste each daysearching for information

Time managers waste each daysearching for information

Source: Accenture survey released January 4, 2007

Page 6: Business Insight and Predictive Analysis

6 © 2011 IBM Corporation

0

20

40

60

80

100

0-30%

30-50%

OPTION ONE

OPTION TWO

OPTION THREEOPTION THREEOver 50%Over 50%

Source: Accenture survey released January 4, 2007

What percentage of managers accidentallyuse the wrong information at

least once a week?

What percentage of managers accidentallyuse the wrong information at

least once a week?

Page 7: Business Insight and Predictive Analysis

7 © 2011 IBM Corporation

0

20

40

60

80

100

0-30%

30-50%

OPTION ONE

OPTION TWO

OPTION THREEOPTION THREEOver 50%Over 50%

What percentage of managers accidentallyuse the wrong information at

least once a week?

What percentage of managers accidentallyuse the wrong information at

least once a week?

Source: Accenture survey released January 4, 2007

Page 8: Business Insight and Predictive Analysis

8 © 2011 IBM Corporation

Financial Management

ExpenseManagement

RevenueManagement

Long Term Asset Management

PERFORMANCE

Performance ManagementPerformance Management

Page 9: Business Insight and Predictive Analysis

9 © 2011 IBM Corporation

How are we doing?Financial Management

ExpenseManagement

RevenueManagement

Long Term Asset Management

PERFORMANCE

Performance ManagementPerformance Management

Page 10: Business Insight and Predictive Analysis

10 © 2011 IBM Corporation

Why?

How are we doing?Financial Management

ExpenseManagement

RevenueManagement

Long Term Asset Management

PERFORMANCE

Performance ManagementPerformance Management

Page 11: Business Insight and Predictive Analysis

11 © 2011 IBM Corporation

Why?

How are we doing?Financial Management

ExpenseManagement

RevenueManagement

Long Term Asset Management

PERFORMANCE

What should we be doing?

Performance ManagementPerformance Management

Page 12: Business Insight and Predictive Analysis

12 © 2011 IBM Corporation

Performance Management Framework for Coordinated Decision Making

Finance

ProductDevelopment

Operations

HumanResources

IT/Systems

CustomerService

MarketingSales PERFORMANCE

Page 13: Business Insight and Predictive Analysis

13 © 2011 IBM Corporation

A System for Performance Management

• Shared Understanding

• What has happened

• Why it happened

• What needs to be done

• What is likely to happen

• Information Prioritized by Strategy

Finance

ProductDevelopment

Operations

HumanResources

IT/Systems

CustomerService

MarketingSales PERFORMANCE

Page 14: Business Insight and Predictive Analysis

14 © 2011 IBM Corporation

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 15: Business Insight and Predictive Analysis

15 © 2011 IBM Corporation

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Where have we been?

• Project based departmental approach

• Function-specific metrics

• Use of spreadsheets/manual processes

• Focus on data access, reducing report cycle time

• Last business cycle view

Where are we now?

Where are we going?

Are we all on thesame page?

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 16: Business Insight and Predictive Analysis

16 © 2011 IBM Corporation

Where are we now?

• Projects more strategic, visible across depts.

• Functions are largely siloed

• VP-level accountability

• Tools & business process based -dashboards prominent

• Focus on bottom-lineperformance (cost savings);

• Current status view

Where are we going?

Are we all on thesame page?

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Where have we been?

• Project based departmental approach

• Function-specific metrics

• Use of spreadsheets/manual processes

• Focus on data access, reducing report cycle time

• Last business cycle view

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 17: Business Insight and Predictive Analysis

17 © 2011 IBM Corporation

Are we all on thesame page?

Where are we going?

• Multi-department, across silos

• Collaborative, accountable, coordinated

• Operational/financial metricsfrom the top

• Integrated planning - aligns resources across groups

• Focus on performance improvement

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Where are we now?

• Projects more strategic, visible across depts.

• Functions are largely siloed

• VP-level accountability

• Tools & business process based -dashboards prominent

• Focus on bottom-lineperformance (cost savings);

• Current status view

Where have we been?

• Project based departmental approach

• Function-specific metrics

• Use of spreadsheets/manual processes

• Focus on data access, reducing report cycle time

• Last business cycle view

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 18: Business Insight and Predictive Analysis

18 © 2011 IBM Corporation

Are we all on thesame page?

• Performance culture exists

• Top down executive buy-in

• Single consistent view of the enterprise

• Goal setting cascades through operational areas

• Integration with service-level agreements

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Where are we going?

• Multi-department, across silos

• Collaborative, accountable, coordinated

• Operational/financial metricsfrom the top

• Integrated planning - aligns resources across groups

• Focus on performance improvement

Where are we now?

• Projects more strategic, visible across depts.

• Functions are largely siloed

• VP-level accountability

• Tools & business process based -dashboards prominent

• Focus on bottom-lineperformance (cost savings);

• Current status view

Where have we been?

• Project based departmental approach

• Function-specific metrics

• Use of spreadsheets/manual processes

• Focus on data access, reducing report cycle time

• Last business cycle view

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 19: Business Insight and Predictive Analysis

19 © 2011 IBM Corporation

Where have we been?

Where are we now?

Where are we going?

Are we all on thesame page?

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

?%

?%

?%?%

Performance Management Maturity ModelPerformance Management Maturity Model

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Page 20: Business Insight and Predictive Analysis

20 © 2011 IBM Corporation

Where have we been?

Where are we now?

Where are we going?

Are we all on thesame page?

35%

55%

7%3%

AMR Research technology, people, process

Source: AMR Research BI/PM maturity model - technology, people, process

Step 1:Reacting

Step 2:Anticipating

Step 3:Collaborating

Step 4:Orchestrating

Performance Management Maturity ModelPerformance Management Maturity Model

Page 21: Business Insight and Predictive Analysis

21 © 2011 IBM Corporation

WHAT IS NEEDED?WHAT IS NEEDED?

� Enterprise-class platform

� Reliable and scalable software that is low cost to deploy, manage and maintain

� Complete, consistent view of information, anytime, anywhere

� Capabilities for all user communities to ensure access to the right information for better decision-making

� Solutions based on Best Practices

� Analytic Applications, Services, Support and more that accelerate deployment and success

Page 22: Business Insight and Predictive Analysis

22 © 2011 IBM Corporation

WHAT IS NEEDED?WHAT IS NEEDED?

� Enterprise-class platform

� Reliable and scalable software that is low cost to deploy, manage and maintain

� Complete, consistent view of information, anytime, anywhere

� Capabilities for all user communities to ensure access to the right information for better decision-making

� Solutions based on Best Practices

� Analytic Applications, Services, Support and more that accelerate deployment and success

Page 23: Business Insight and Predictive Analysis

23 © 2011 IBM Corporation

What Problems do Cognos and IBM Solve Together?Information On Demand Unlocks the Value of Information to Optimize Business for Competitive Advantage

An efficient and solid foundation for managing data and content

over its lifecycleOther Information

& Application Sources

Better BusinessOutcomes

Customer & Product Profitability

Workforce Optimization

Dynamic Supply Chain Multi-Channel

Marketing

Financial Risk Insight

Business Optimization

Flexible Architecture for Leveraging Existing Investments

Establish accurate, trusted information for a single version of

the truth, managed over time

Leverage information to better understand and optimize

business performance

Page 24: Business Insight and Predictive Analysis

24 © 2011 IBM Corporation

WHAT IS NEEDED?WHAT IS NEEDED?

� Enterprise-class platform

� Reliable and scalable software that is low cost to deploy, manage and maintain

� Complete, consistent view of information, anytime, anywhere

� Capabilities for all user communities to ensure access to the right information for better decision-making

� Solutions based on Best Practices

� Analytic Applications, Services, Support and more that accelerate deployment and success

Page 25: Business Insight and Predictive Analysis

25 © 2011 IBM Corporation

All Capabilities in One Product All Capabilities in One Product

• Query

• Reporting

• Analysis

• Dashboarding

• Scorecards

• Event Management

• Planning & Budgeting

• Consolidation• Statistics and Predictive Analysis

Eliminates need for multiple tools,

lowering costs and easing standardization

Page 26: Business Insight and Predictive Analysis

26 © 2011 IBM Corporation

WHAT IS NEEDED?WHAT IS NEEDED?

� Enterprise-class platform

� Reliable and scalable software that is low cost to deploy, manage and maintain

� Complete, consistent view of information, anytime, anywhere

� Capabilities for all user communities to ensure access to the right information for better decision-making

� Solutions based on Best Practices

� Analytic Applications, Services, Support and more that accelerate deployment and success

Page 27: Business Insight and Predictive Analysis

27 © 2011 IBM Corporation

BlueprintsBlueprints

Page 28: Business Insight and Predictive Analysis

28 © 2011 IBM Corporation

Our Commitment:Our Commitment:

• Innovation that drives performance

• Solutions for your success

• Partnership for the journey

Page 29: Business Insight and Predictive Analysis

29 © 2011 IBM Corporation

Thank You!