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WHY BUSINESS INTELLIGENCE PROJECTS FAIL And What To Do About It Timo Elliott, Senior Director Strategic Marketing [email protected]

Why BI Projects Fail and What to Do About It

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Business Intelligence is about changing the business, not implementing technology. Here's a review of what typically goes wrong in analytics projects, and what to do about it.Full PPT available at timoelliott.com.

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Page 1: Why BI Projects Fail and What to Do About It

WHY BUSINESS INTELLIGENCE PROJECTS FAILAnd What To Do About ItTimo Elliott, Senior Director Strategic [email protected]

Page 2: Why BI Projects Fail and What to Do About It

INTRODUCTION

It’s not only about knowing how to climb…

You also have to know how not to fall off

Page 3: Why BI Projects Fail and What to Do About It

BI Improves Business Performance

Source: Intelligent Enterprise Survey, 2008

Page 4: Why BI Projects Fail and What to Do About It

Barriers to Deployment

Integration

Ease of use

No clear ROI

Data quality

Cost of licenses

Cost of training

Page 5: Why BI Projects Fail and What to Do About It

IT Underestimates User Difficulties…

Difficult to find information

0%

10%

20%

30%

40%

50%

60%

IT0%

10%

20%

30%

40%

50%

60%

IT

Just the right amount of information is available

32%

24%

Executives Executives

22%

55%

(credibility) gapBase: 406 U.S. IT Executives, 675 Business ExecutivesSource: BusinessWeek Research Services

Page 6: Why BI Projects Fail and What to Do About It

…And Underestimates Value Of BI To The Business

0%

10%

20%

30%

40%

50%

60%

70%

80%

Failure ModeratelySuccessful

VerySuccessful

0%

10%

20%

30%

40%

50%

60%

70%

80%

Not at All Somewhat Significantly

How successful do you consider your BI deployment?

How much has BI contributed to your company’s performance?

The percentage of business users seeing the business impact as significant is 15% higher than the percentage of IT professionals saying the impact on company performance has been significant

Business gap

Source: Successful Business Intelligence, Cindi Howson

Page 7: Why BI Projects Fail and What to Do About It

Timo’s Law of BI

“Business people will ALWAYS be dissatisfied with their information systems”

Page 8: Why BI Projects Fail and What to Do About It

1. Changing the Business

2. People, Not Technology

3. Process, Not Project

4. Value, Not Cost

5. Insight, Not Data

6. Pragmatism, Not Rigid Process

Page 9: Why BI Projects Fail and What to Do About It

CHANGING THE BUSINESS

Page 10: Why BI Projects Fail and What to Do About It

Aim High

Not “implement software”

Not “keep the business happy”

Aim to transform the way the business works

Paint the vision

Page 11: Why BI Projects Fail and What to Do About It

“Follow the Money”

Track information to its final destination in any system

Why is it being used

What might change as a result

Page 12: Why BI Projects Fail and What to Do About It

Aim For 100% Deployment

Target all uses and users

“To be successful with BI, you need to be thinking about deploying it to 100% of your employees as well as beyond organizational boundaries to customers and suppliers” — Cindi Howson

0%

10%

20%

30%

40%

50%

60%

Failure ModeratelySuccessful

Very Successful

Perceived PotentialCurrent %

Source: Successful Business Intelligence, Cindi Howson

Page 13: Why BI Projects Fail and What to Do About It

PEOPLE, NOT TECHNOLOGY

Page 14: Why BI Projects Fail and What to Do About It

People Skills Make or Break BI Projects

Investment Historical Determinant of Success

People 2% 20%Process 2% 15%

Organization 2% 10%

Culture 1% 20%

Leadership 1% 10%

Data 10% 15%

Technology 82% 10%

75% of success determined by things OTHER than data and technology

Page 15: Why BI Projects Fail and What to Do About It

IT / Business Relationship

Trust and respect

Business Person Archetype IT Professional Archetype

Extrovert Introvert

Sociable Solitary

Freewheeling Methodical, systematic,disciplined

Risk-taking Risk-averse

Prefers face-to-face meeting Minimal face-to-face communication, email and instant messaging is fine

Page 16: Why BI Projects Fail and What to Do About It

“I tried being reasonable —I didn’t like it”

Dirty Harry

Tough Love

Page 17: Why BI Projects Fail and What to Do About It

Choose Your Users Carefully

Page 18: Why BI Projects Fail and What to Do About It

User Adoption

8-28%

Page 19: Why BI Projects Fail and What to Do About It

User Adoption

Page 20: Why BI Projects Fail and What to Do About It

Common User Adoption Issues

Training for IT

Training on data

Continued training

Best practice

Culture

Expectation setting

Ease of use

“Even if an application is intuitive enough to be usable without instruction, any related process or culture changes should be driven home with at least a quick tutorial.”

“What dooms IT projects” August 31, 2005

Page 21: Why BI Projects Fail and What to Do About It

Congratulations! You’re in Marketing!

EvangelizePromote early, promote oftenName the systemFind successes, keep

explaining the valueHighly visible dashboards Internal seminarsNewslettersTrophies for best projects

Page 22: Why BI Projects Fail and What to Do About It

Evangelizing

Page 23: Why BI Projects Fail and What to Do About It

Evangelizing

Page 24: Why BI Projects Fail and What to Do About It

Evangelizing

Page 25: Why BI Projects Fail and What to Do About It

Stories Are Good For Business

Page 26: Why BI Projects Fail and What to Do About It

Know Thyselfγνῶθι σεαυτόν

Page 27: Why BI Projects Fail and What to Do About It

Information Culture

Page 28: Why BI Projects Fail and What to Do About It

Information Culture

Page 29: Why BI Projects Fail and What to Do About It

Information Culture

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Failure ModeratelySuccessful

Very Successful

Gut-FeelFact-Based

Source: Successful Business Intelligence — Cindi Howson

Page 30: Why BI Projects Fail and What to Do About It

Process, Not Project

Page 31: Why BI Projects Fail and What to Do About It

BI is Designed for Change

START

FINISH

Page 32: Why BI Projects Fail and What to Do About It

BI Methodology

IT

Business

Page 33: Why BI Projects Fail and What to Do About It

Align With Business Processes

TriageAssessmentand Entry

PatientRegistration

Patient Statusand Room Assigned

Nurse ExamIndicator Changed

PhysicianExamines

Patient

Physician Note

Created

Labs and/orX-rays areOrdered

Lab Report(s)Returned via

EDIM

Physician NoteCompleted

Prescription(s)Written

Patient Referred for

Follow-up Care

DischargeInstructions

Created

Electronic Chart

is Completed

History Fileis

Created

PatientArrives

PhysicianConsults with

Patient

PatientDischarged

Patient Leaves ED

EDIM ReportsCreated/Printed

Page 34: Why BI Projects Fail and What to Do About It

Applications

Page 35: Why BI Projects Fail and What to Do About It

BI Competency Center

Store, maintain, integrate dataImplement changes

Summarize and analyzeDiscover and explore

Link to corporate strategyAlter processesPrioritize and set expectations

Gather requirementsEvangelizeMonitor satisfaction

Interpret resultsDevelop alternatives

Identify dataExtract dataValidate data Engineering skills

Analysis skills Relationship skills

Leadership skills

Page 36: Why BI Projects Fail and What to Do About It

Incentives and Value

Tragedy of the commons

Internal pricing

Page 37: Why BI Projects Fail and What to Do About It

Active usage

Satisfaction

New requests

Standard reports

Applications

Service

Time

BICC Report Card

Page 38: Why BI Projects Fail and What to Do About It

VALUE, NOT COST

Page 39: Why BI Projects Fail and What to Do About It

What’s the ROI?

BI ROI

Page 40: Why BI Projects Fail and What to Do About It

ROI is Hard to Know in Advance

“One of the key contributors to poor IT investment performance is an unbalanced approach taken by executives at the project approval stage.

Too often, the overriding emphasis is on quick payback or demands for the return on investment (ROI) to be demonstrated in financial terms.”

Gartner, “Total Value of Opportunity — The Real Measure for BI”

Page 41: Why BI Projects Fail and What to Do About It

Business People Have Short Memories

Page 42: Why BI Projects Fail and What to Do About It

BI is Becoming Mission-Critical

“Many warehouses are now a risk to mission-critical systems that rely on them for data”

Gartner, Key Issues for Delivering a Data Warehouse Project, 2008:

Page 43: Why BI Projects Fail and What to Do About It

Finding Value

4% Technology-related benefits

42% Productivity-related benefits

54% Business process

enhancements

Previous projects

Page 44: Why BI Projects Fail and What to Do About It

Finding Value

Doing things FASTER

Page 45: Why BI Projects Fail and What to Do About It

Finding Value

Minimizing RISK

Page 46: Why BI Projects Fail and What to Do About It

Align With the Goals Of the Organization

Link BI goals to what executives care about

Source: Accenture

Page 47: Why BI Projects Fail and What to Do About It

Sales Techniques

Techniques for understanding executive needs

Providing answers to problems, not technology infrastructures

Getting your projects to “top of mind”

Page 48: Why BI Projects Fail and What to Do About It

Turn Information into a Profit Center

“Our extranet produced $60M in incremental sales in the first year.”

Don Stoller, Owens & Minor

Page 49: Why BI Projects Fail and What to Do About It

Profitability: a Foundation For Strategic BI

“I don’t care about profitability”

Page 50: Why BI Projects Fail and What to Do About It

Play on Doubt

Start asking questions about the numbers that drive the business

“You don’t know?!”

Page 51: Why BI Projects Fail and What to Do About It

INSIGHT, NOT DATA

101011011101001011101011010111010110101011001011010101

101011011101001011101011010111010110101011001011010101

101011011101001011101011010111010110101011001011010101

101011011101001011101011010111010110101011001011010101

Page 52: Why BI Projects Fail and What to Do About It

Data Integration

“This is the aspect that most businesses underestimate drastically — often by 100 percent or more.”

Gartner

Page 53: Why BI Projects Fail and What to Do About It

Lack of Trust

43% of users say they’re not sure if internal information is accurate

77% said bad decisions had been made because of lack of information

5 out of 4 people don’t believe statistics in presentations

Business Week study, 2005

Page 54: Why BI Projects Fail and What to Do About It

© SAP 2009 / Page 58

“Poor-quality customer data costs U.S. businesses $611 billion a year. Yet nearly half of the companies surveyed admit they have no plans to improve data quality”

The Data Warehousing Institute study

Dater Qwality

Page 55: Why BI Projects Fail and What to Do About It

Data Profiling

Page 56: Why BI Projects Fail and What to Do About It

Justifying Data Quality

Call it Data Governance

Risk, Productivity

Time Spent on Data Quality

5% 6% 6%10%

15%12%

9%

36%

1 ho

ur

2 ho

urs

3-4

hour

s

5 ho

urs

6-10

hou

rs

11-2

0 ho

urs

21+

hour

s

Not

Sur

e

Source: Harris Interactive Poll

Page 57: Why BI Projects Fail and What to Do About It

Data Lineage

Page 58: Why BI Projects Fail and What to Do About It

Go Faster

Page 59: Why BI Projects Fail and What to Do About It

Faster = Higher Business Value

Source: DM Direct, Nigel Pendse, March 2006

Page 60: Why BI Projects Fail and What to Do About It

Data Misuse and Interpretation

Page 61: Why BI Projects Fail and What to Do About It

FLEXIBLE PRAGMATISM, NOTRIGID PROCESSES

“No plan survives first contact with the enemy”

Claus von Clausewitz

Page 62: Why BI Projects Fail and What to Do About It

Finding An Executive Sponsor

Track record of IT success

Evangelism

Company goals

His / her career

Likely that sponsor will change:build broad base of support

Why Should I Care?

Page 63: Why BI Projects Fail and What to Do About It

Staying Zen

Do “less”

Keep it simple

Clean up

BICC efficiencies

IT dashboards

Standardize

SOA / Web Services

SaaS

Page 64: Why BI Projects Fail and What to Do About It

BI Standardization Calculator

Page 65: Why BI Projects Fail and What to Do About It

Succeeding Despite Adversity

Keep the project up to speed

Structure the project into smaller ones

Ensure alignment at all times

Admit problems fast

Stick with it!

Page 66: Why BI Projects Fail and What to Do About It

CONCLUSION

Page 67: Why BI Projects Fail and What to Do About It

Selected References

“Competing on Analytics” and “Analytics at Work: Smarter Decisions, Better Results” by Thomas Davenport

“Successful Business Intelligence: Secrets to Making BI a Killer App” by Cindi Howson

“Business Intelligence Competency Centers: A Team Approach to Maximizing Competitive Advantage” by Gloria J. Miller et. Al.

“Business Intelligence: The Savvy Manager's Guide” by David Loshin

TDWI Best Practices Report 2008: “Pervasive Business Intelligence: Techniques and Technologies to Deploy BI on an Enterprise Scale”

Page 68: Why BI Projects Fail and What to Do About It

Conclusion

BI is not (only) aboutTechnologyProjectsCostDataPlans

Page 69: Why BI Projects Fail and What to Do About It

Thank You And Good Luck!

Timo Elliott

Senior Director, Strategic Marketing

[email protected]

www.timoelliott.com

Twitter/timoelliott

Page 70: Why BI Projects Fail and What to Do About It

Timo [email protected] Questions Blog: www.timoelliott.comTwitter/timoelliott

THANK YOU!

Page 71: Why BI Projects Fail and What to Do About It

Respect

Page 72: Why BI Projects Fail and What to Do About It

Mission-Critical

Page 73: Why BI Projects Fail and What to Do About It

Performance Management

“Often we measure the wrong things, in the wrong ways and frequently we measure too much”

Andy Neely, Cranfieldschool of management

Page 74: Why BI Projects Fail and What to Do About It

Staying Zen

Do “less”

Keep it simple

Clean up

BICC efficiencies

IT dashboards

Standardize

SOA / Web Services

SaaS

Page 75: Why BI Projects Fail and What to Do About It

Staying Zen Getting the time and money

Do “less”

Clean up

BICC efficiencies

IT dashboards

Standardize

SOA / Web Services

SaaS

Page 76: Why BI Projects Fail and What to Do About It

Succeeding Despite Adversity

Keep the project up to speed

Structure the project into smaller ones

Ensure alignment at all times

Admit problems fast

Stick with it!

Page 77: Why BI Projects Fail and What to Do About It

High performing companies are 50% more likely to use analytic information strategically

33%

23%

77%

40%

36%

65%

8%

23%

Have significant decision-support/analytical capabilities

Value Analytical insights to a very large extent

Have above average analytical capability within industry

Use analytics across their entire organization

Source: Competing on Analytics, Thomas Davenport

Competitive Edge is Gained With Analytics

Low Performers

High Performers

Page 78: Why BI Projects Fail and What to Do About It

AVOIDING THE BUDGETING GAME

Page 79: Why BI Projects Fail and What to Do About It

CFO and IT relationship?

Page 80: Why BI Projects Fail and What to Do About It

Process, Not Project

Page 81: Why BI Projects Fail and What to Do About It

WHY BUSINESS INTELLIGENCE PROJECTS FAILAnd What To Do About ItTimo Elliott, Senior Director BI [email protected]