Business intelligence for dummies: [harness BI tools for forecasting and decision-making]
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
Wiley
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXII, 358 S. Ill. |
| ISBN: | 9780470127230 0470127236 |
Internformat
MARC
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| 245 | 1 | 0 | |a Business intelligence for dummies |b [harness BI tools for forecasting and decision-making] |c by Swain Scheps |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2008 | |
| 300 | |a XXII, 358 S. |b Ill. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
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| 653 | |a Business Intelligence | ||
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Datensatz im Suchindex
| _version_ | 1805073739526701056 |
|---|---|
| adam_text |
Contents at a Glance
Introduction.1
Part 1: Introduction and Basics.7
Chapter 1: Understanding Business Intelligence.9
Chapter 2: Fitting BI with Other Technology Disciplines.23
Chapter 3: Meeting the BI Challenge.37
Part 11: Business Intelligence User Models.b9
Chapter 4: Basic Reporting and Querying.51
Chapter 5: OLAP: Online Analytical Processing.67
Chapter 6: Dashboards and Briefing Books.89
Chapter 7: Advanced / Emerging BI Technologies.101
Part 111: The Bl Lifecucte.715
Chapter 8: The BI Big Picture.117
Chapter 9: Human Factors in BI Implementations.131
Chapter 10: Taking a Closer Look at BI Strategy.143
Chapter 11: Building a Solid BI Architecture and Roadmap.163
Part W: Implementinq Bl.183
Chapter 12: Building the BI Project Plan.185
Chapter 13: Collecting User Requirements.205
Chapter 14: BI Design and Development.223
Chapter 15: The Day After: Maintenance and Enhancement.243
Part V: Bland Technotoau.259
Chapter 16: BI Target Databases: Data Warehouses, Marts, and Stores.261
Chapter 17: BI Products and Vendors.283
Part VI: The Part of Tens.301
Chapter 18: Ten Keys to BI Success.303
Chapter 19: Ten BI Risks (and How to Overcome Them).309
Chapter 20: Ten Keys to Gathering Good BI Requirements.315
Chapter 21: Ten Secrets to a Successful BI Deployment.323
Chapter 22: Ten Secrets to a Healthy BI Environment.331
Chapter 23: Ten Signs That Your BI Environment Is at Risk.339
Index.345
Table of Contents
Introduction. /
About This Book.2
How to Use This Book.2
How This Book Is Organized.3
Part I: Introduction and Basics.3
Part II: Business Intelligence User Models.3
Part III: The BI Lifecycle.4
Part IV: Implementing BI.4
Part V: BI and Technology.4
Part VI: The Part of Tens.4
Icons Used in This Book.5
Time to Get Down to Business . Intelligence.5
Part h Introduction and Basics.7
Chapter 1: Understanding Business Intelligence .9
Limited Resources, Limitless Decisions.10
Business Intelligence Defined: No CIA Experience Required.11
Pouring out the alphabet soup.12
A better definition is in sight.13
BI's Big Four.14
The BI Value Proposition.17
A Brief History of BI.18
Data collection from stone tablets to databases.18
BI's Split Personality: Business and Technology.21
BI: The people perspective.22
So, Are You BI Curious?.22
Chapter 2: Fitting BI with Other Technology Disciplines.23
Best Friends for Life: BI and Data Warehousing.23
The data warehouse: no forklift required.24
Data warehouses resolve differences.26
All paths lead to the data warehouse.27
ERP and BI: Taking the Enterprise to Warp Speed.28
From mainframe to client/server.28
The great migration.29
Like it's 1999: the Y2K catalyst.30
Cold war reporting.31
ERP leads to the foundations of BI.31
Business Intelligence For Dummies
Customer's Always Right.32
CRM joins ERP.32
CoreCRM.32
Customer decisions.33
BI-BUY! E-Commerce Takes BI Online.34
E-commerce's early days (daze?).34
E-commerce gets smart.35
Real-time business intelligence.35
The Finance Function and Bl.36
Chapter 3: Meeting the Bl Challenge.37
What's Your Problem?.37
What can go wrong.38
The BI Spectrum — Where Do You Want It?.40
Enterprise versus departmental BI.40
Strategic versus tactical business intelligence.43
Power versus usability in BI tools.44
Reporting versus predictive analytics.45
BI that's juuuuust right.45
First Glance at Best (and Worst) Practices.46
Why BI is as much an art as a science.46
Avoiding all-too-common BI traps.46
One more continuum: hope versus hype.47
Part 11: Business Intelligence User Models
Chapter 4: Basic Reporting and Querying.51
Power to the People!.51
Querying and reporting in context.52
Reporting and querying puts BI over the hump.54
Reporting and querying toolkit characteristics.55
So who's using this stuff?.56
Basic BI: Self-Service Reporting and Querying.58
Building and using ad-hoc queries.59
Building simple on-demand self-service reports.59
Adding capabilities through managed querying/reporting.61
Data Access — BI's Push-Pull Tug-of-War.63
Classical BI: pull-oriented information access.64
Emerging BI: pushing critical insights to users.64
Chapter 5: OLAP: Online Analytical Processing .67
OLAP in Context.68
OLAP Application Functionality.68
Multidimensional Analysis.70
Lonely numbers.70
One-dimensional data.70
Setting the table.72
Table of Contents
Seeing in 3-D.73
Beyond the third dimension.74
OLAP Architecture.75
The OLAP Cube.76
OLAP access tools.78
What OLAP Can Really Do.78
Members only.79
Remember the Big Four BI criteria.81
Drill team: Working with Multidimensional Data.81
Gaining insight through drill-down analysis.82
Going in the other direction: drill-up analysis.83
Getting to the source: drill-through.84
OLAP versus OLTP.85
Looking at Different OLAP Styles and Architecture.85
MOLAP: multidimensional OLAP.86
ROLAP: relational OLAP through "normal" databases.87
HOLAP: Can't we all get along?.87
Chapter 6: Dashboards and Briefing Books.89
Dashboards' Origins.90
EIS: information gold for the top brass.90
EIS: Everybody's Information System.91
EIS gets left behind.92
The Metric System.93
Defining KPIs.93
Business KPIs.94
Looking at Bl Dashboards.95
Mission control to the desktop.95
Dashboard best practices.97
Briefing Books and Other Gadgetry.98
Chapter 7: Advanced / Emerging Bl Technologies .101
Catching a Glimpse of Visualization.102
Basic visualization.103
Worth a thousand words.103
Off the charts.104
Visualizing tomorrow.104
Steering the Way with Guided Analysis.106
Dancing the BI two-step.107
Old idea, new moves.108
Guiding lights.109
Data Mining: Hype or Reality?.109
Digging through data mining's past.110
Digging for data gold.Ill
Data mining today.Ill
Other Trends in BI.113
BI for one and all.113
Unstructured data.113
Business Intelligence For Dummies
Part 111: The Bl Life cycle.715
Chapter 8: The Bl Big Picture .117
So Many Methodologies, So Little Time.117
Starting at the beginning.118
The exception to the rule: Micro-BI.118
Customizing Bl for Your Needs.120
Your not-so-clean slate.120
Initial activities.121
Could-be versus should-be alternatives.124
Selecting Bl products and technologies.124
Implementing Bl: Get 'er Done.125
Zeroing in on a technical design.126
Putting together the Bl project plan.127
Finishing the job.128
Chapter 9: Human Factors in Bl Implementations.131
Star Techie: Skills Profile of a Core Bl Team.132
Key performers.132
Your other techies.134
Overruling Objections from the Court of User Opinion.136
Ch-ch-ch-ch-changes.136
Turn and face the strange.137
Major in Competence.139
Find your center.139
A Bl center that's juuuuust right.141
Raising standards.141
Chapter 10: Taking a Closer Look at Bl Strategy.143
The Big Picture.143
Your Current Bl Capabilities (or Lack Thereof).144
Assessing your business infrastructure.144
Assessing the technology stack, top to bottom.147
Keep the good stuff.149
Throw out the bad stuff.151
Exploring "Should-Be" Bl Alternatives.152
Utopian Bl.153
Coming back to reality: examining barriers
to achieving your desired future state.154
Deciding "Could-Be" Alternatives.155
Judging viability.155
Identifying risks . and also how to mitigate those risks.156
Gauging business value.156
Aligning your alternatives with your organizational
structure and culture.157
Making your choice.158
Considering everything.158
Table of Contents
Deciding on your strategy.159
Getting the necessary buy-in.159
Chapter 11: Building a Solid Bl Architecture and Roadmap.163
What a Roadmap Is (and Isn't).164
Centralized Versus Decentralized Architecture.165
A couple question.166
How to choose.166
BI Architecture Alternatives.168
Starting an architecture evaluation.168
So many choices.170
So little time.170
The short list.171
Taking a second look at your short list.172
Examining costs for each alternative.173
Looking at technology risks.174
Making your decision.175
Developing a Phased, Incremental BI Roadmap.175
Deciding where to start.176
Keeping score.177
Deciding what comes next.178
Deciding what comes next, and next, and next.178
Planning for contingencies.178
Dealing with moving targets.180
Leaving time for periodic "architectural tune-ups".180
Part IV: Implementing Bl.183
Chapter 12: Building the Bl Project Plan.185
Planning the Plan.186
Revisiting the vision.186
Project plan format.187
Project Resources.187
Roles versus Resources.188
BI project roles.189
Project Tasks.191
First pass: Project milestones.192
Second pass: High-level tasks.193
Linkages and Constraints.195
Third pass: Break it down.195
Roles and skills.196
Risk Management and Mitigation.198
Contingency planning.198
Checkpoints.199
Keeping Your BI Project Plan Up to Date.199
Managing to the plan.200
Working through issues.200
Business Intelligence For Dummies
Daily updates.200
Keeping task data up-to-date.201
Back to the 01' Drawing Board.201
Chapter 13: Collecting User Requirements.205
It's Business, Not Technical.206
Documenting business requirements.206
Document size and structure.207
A little help from your friends (and enemies).208
Requirements-Gathering Techniques.208
The data difference.209
User focus.209
Requirements-gathering activities.210
What, Exactly, Is a Requirement?.213
Reporting and analytical functionality.214
Data needed to support your desired functionality.215
Matchup maker.216
The "look and feel" for how information
should be delivered to users.217
Validating BI Requirements You've Collected.218
Conducting the initial double-checking.218
Prioritizing Your Bl Requirements.218
Identifying "must-have-or-else" requirements.219
Getting the final buy-in.220
Stepping on the baseline.220
Changing Requirements.221
Chapter 14: Bl Design and Development.223
Successful BI.223
Be realistic.224
Follow demand.224
Act now, but think ahead.224
Design with Users in Mind.225
Power users.225
Business users.226
The middle class.226
Best Practices for BI Design.227
Designing the data environment.228
Designing the front-end environment.231
Getting Users On Board.239
Reporting review.239
Testing, 1-2-3.240
Pilot projects.242
Proof of concept.242
Table of Contents
Chapter 15: The Day After: Maintenance and Enhancement.243
BI = Constant Improvement.244
Post-Implementation Evaluations.244
Overall project review.245
Technology review.245
Business-impact review.246
Maintaining Your BI Environment.247
System health.248
System relevance — Keeping up with business changes.250
Maintaining lines of communication.250
Extending Your Capabilities.252
Expanding existing applications.252
Installing advanced upgrades.255
The Olympic Approach.256
Thinking long term with a roadmap.257
Evolvability.257
Part V: Bland Technotoay.259
Chapter 16: BI Target Databases: Data
Warehouses, Marts, and Stores.261
Data Warehouses and BI.262
An extended example.263
Consolidating information across silos.267
Structuring data to enable BI.270
Data Models.274
Dimensional data model.274
Other kinds of data models.278
Data Marts.279
Operational Data Stores.280
Chapter 17: BI Products and Vendors.283
Overview of BI Software.284
The dimensional model.284
Working together.285
The BI Software Marketplace.286
A little history.286
Mergers and acquisitions.287
Major Software Companies in BI.289
Oracle.290
Microsoft.291
SAP.293
IBM.293
Business Intelligence For Dummies
Pure-Play BI Vendors.293
Indispensable qualities.294
Vendors by strong suit.295
The sales pitch.300
Part (/I: The Part of Tens.301
Chapter 18: Ten Keys to BI Success.303
Picking Good Key Performance Indicators (KPIs).303
Adjusting the Recipe.304
Coming to Terms with Complexity.304
Thinking (and Working) Outside the Box.304
Picking a Winning Team.305
Doing Your Homework.305
Remembrance of Things Past (Especially Mistakes).305
Considering Corporate Culture Completely.306
Just Going Through a Phase.306
Adopting a Bigwig.307
Chapter 19: Ten BI Risks (and How to Overcome Them) .309
Resistance Movement.309
Moving Targets.310
Tool Letdown.310
Being a User Loser.311
Mister Data Needs a Bath.312
DoughaNo-Go?.312
Scope Creep.313
Rigidity.314
Environmental Crisis.314
Chapter 20: Ten Keys to Gathering Good BI Requirements.315
All the Right People.316
The Vision Thing.317
Connecting BI to the Business Themes.317
Make Sure the Insights Are Within Sight.318
Greatest Hits from Yesterday and Today.319
Consequences of Going Without.319
What's the Big Idea?.320
Going Straight to the Source.320
Adjunct Benefits.321
What's First and Why.322
Table of Contents
Chapter 21: Ten Secrets to a Successful Bl Deployment.323
Start Early!.323
Get What You Paid For.324
Only Losers Ignore Users.324
Name-Dropping.325
Testing 1-2-3 . 4-5-6 . and So On.325
Go to Battle from a War Room.326
Project Management Management.326
Deal with Any Foot-dragging Immediately!.327
Prove That Concept!.328
The Devil Is in the Details.328
We've Got a Live One.329
Chapter 22: Ten Secrets to a Healthy Bl Environment .331
DataTLC.331
Hitting Budget Targets.332
Hitting Schedule Targets.333
Rinse and Repeat.333
Rinse and Don't Repeat.334
Maintain Team Knowledge.334
Remember What You Forgot the First Time.335
Regular Updates.335
Staying in Touch and in Tune.336
Communicating Changes.336
Stay on the Train.337
Maintenance as a Process.337
Chapter 23: Ten Signs That Your Bl Environment Is at Risk.339
The Spreadsheets Just Won't Die.339
Everybody Asks for Help.340
Nobody Asks for Help.340
Water-Cooler Grumbles About Usability.341
Good-Old-Day Syndrome.341
Usage Numbers Decline Over Time.342
Bl Tools Aren't Part of Strategy Discussions.342
Executive Sponsors Lose Enthusiasm.343
Executive Sponsors Lose their Jobs.343
Resistance to Upgrades and Expansion.344
Index.345 |
| adam_txt |
Contents at a Glance
Introduction.1
Part 1: Introduction and Basics.7
Chapter 1: Understanding Business Intelligence.9
Chapter 2: Fitting BI with Other Technology Disciplines.23
Chapter 3: Meeting the BI Challenge.37
Part 11: Business Intelligence User Models.b9
Chapter 4: Basic Reporting and Querying.51
Chapter 5: OLAP: Online Analytical Processing.67
Chapter 6: Dashboards and Briefing Books.89
Chapter 7: Advanced / Emerging BI Technologies.101
Part 111: The Bl Lifecucte.715
Chapter 8: The BI Big Picture.117
Chapter 9: Human Factors in BI Implementations.131
Chapter 10: Taking a Closer Look at BI Strategy.143
Chapter 11: Building a Solid BI Architecture and Roadmap.163
Part W: Implementinq Bl.183
Chapter 12: Building the BI Project Plan.185
Chapter 13: Collecting User Requirements.205
Chapter 14: BI Design and Development.223
Chapter 15: The Day After: Maintenance and Enhancement.243
Part V: Bland Technotoau.259
Chapter 16: BI Target Databases: Data Warehouses, Marts, and Stores.261
Chapter 17: BI Products and Vendors.283
Part VI: The Part of Tens.301
Chapter 18: Ten Keys to BI Success.303
Chapter 19: Ten BI Risks (and How to Overcome Them).309
Chapter 20: Ten Keys to Gathering Good BI Requirements.315
Chapter 21: Ten Secrets to a Successful BI Deployment.323
Chapter 22: Ten Secrets to a Healthy BI Environment.331
Chapter 23: Ten Signs That Your BI Environment Is at Risk.339
Index.345
Table of Contents
Introduction. /
About This Book.2
How to Use This Book.2
How This Book Is Organized.3
Part I: Introduction and Basics.3
Part II: Business Intelligence User Models.3
Part III: The BI Lifecycle.4
Part IV: Implementing BI.4
Part V: BI and Technology.4
Part VI: The Part of Tens.4
Icons Used in This Book.5
Time to Get Down to Business . Intelligence.5
Part h Introduction and Basics.7
Chapter 1: Understanding Business Intelligence .9
Limited Resources, Limitless Decisions.10
Business Intelligence Defined: No CIA Experience Required.11
Pouring out the alphabet soup.12
A better definition is in sight.13
BI's Big Four.14
The BI Value Proposition.17
A Brief History of BI.18
Data collection from stone tablets to databases.18
BI's Split Personality: Business and Technology.21
BI: The people perspective.22
So, Are You BI Curious?.22
Chapter 2: Fitting BI with Other Technology Disciplines.23
Best Friends for Life: BI and Data Warehousing.23
The data warehouse: no forklift required.24
Data warehouses resolve differences.26
All paths lead to the data warehouse.27
ERP and BI: Taking the Enterprise to Warp Speed.28
From mainframe to client/server.28
The great migration.29
Like it's 1999: the Y2K catalyst.30
Cold war reporting.31
ERP leads to the foundations of BI.31
Business Intelligence For Dummies
Customer's Always Right.32
CRM joins ERP.32
CoreCRM.32
Customer decisions.33
BI-BUY! E-Commerce Takes BI Online.34
E-commerce's early days (daze?).34
E-commerce gets smart.35
Real-time business intelligence.35
The Finance Function and Bl.36
Chapter 3: Meeting the Bl Challenge.37
What's Your Problem?.37
What can go wrong.38
The BI Spectrum — Where Do You Want It?.40
Enterprise versus departmental BI.40
Strategic versus tactical business intelligence.43
Power versus usability in BI tools.44
Reporting versus predictive analytics.45
BI that's juuuuust right.45
First Glance at Best (and Worst) Practices.46
Why BI is as much an art as a science.46
Avoiding all-too-common BI traps.46
One more continuum: hope versus hype.47
Part 11: Business Intelligence User Models
Chapter 4: Basic Reporting and Querying.51
Power to the People!.51
Querying and reporting in context.52
Reporting and querying puts BI over the hump.54
Reporting and querying toolkit characteristics.55
So who's using this stuff?.56
Basic BI: Self-Service Reporting and Querying.58
Building and using ad-hoc queries.59
Building simple on-demand self-service reports.59
Adding capabilities through managed querying/reporting.61
Data Access — BI's Push-Pull Tug-of-War.63
Classical BI: pull-oriented information access.64
Emerging BI: pushing critical insights to users.64
Chapter 5: OLAP: Online Analytical Processing .67
OLAP in Context.68
OLAP Application Functionality.68
Multidimensional Analysis.70
Lonely numbers.70
One-dimensional data.70
Setting the table.72
Table of Contents
Seeing in 3-D.73
Beyond the third dimension.74
OLAP Architecture.75
The OLAP Cube.76
OLAP access tools.78
What OLAP Can Really Do.78
Members only.79
Remember the Big Four BI criteria.81
Drill team: Working with Multidimensional Data.81
Gaining insight through drill-down analysis.82
Going in the other direction: drill-up analysis.83
Getting to the source: drill-through.84
OLAP versus OLTP.85
Looking at Different OLAP Styles and Architecture.85
MOLAP: multidimensional OLAP.86
ROLAP: relational OLAP through "normal" databases.87
HOLAP: Can't we all get along?.87
Chapter 6: Dashboards and Briefing Books.89
Dashboards' Origins.90
EIS: information gold for the top brass.90
EIS: Everybody's Information System.91
EIS gets left behind.92
The Metric System.93
Defining KPIs.93
Business KPIs.94
Looking at Bl Dashboards.95
Mission control to the desktop.95
Dashboard best practices.97
Briefing Books and Other Gadgetry.98
Chapter 7: Advanced / Emerging Bl Technologies .101
Catching a Glimpse of Visualization.102
Basic visualization.103
Worth a thousand words.103
Off the charts.104
Visualizing tomorrow.104
Steering the Way with Guided Analysis.106
Dancing the BI two-step.107
Old idea, new moves.108
Guiding lights.109
Data Mining: Hype or Reality?.109
Digging through data mining's past.110
Digging for data gold.Ill
Data mining today.Ill
Other Trends in BI.113
BI for one and all.113
Unstructured data.113
Business Intelligence For Dummies
Part 111: The Bl Life cycle.715
Chapter 8: The Bl Big Picture .117
So Many Methodologies, So Little Time.117
Starting at the beginning.118
The exception to the rule: Micro-BI.118
Customizing Bl for Your Needs.120
Your not-so-clean slate.120
Initial activities.121
Could-be versus should-be alternatives.124
Selecting Bl products and technologies.124
Implementing Bl: Get 'er Done.125
Zeroing in on a technical design.126
Putting together the Bl project plan.127
Finishing the job.128
Chapter 9: Human Factors in Bl Implementations.131
Star Techie: Skills Profile of a Core Bl Team.132
Key performers.132
Your other techies.134
Overruling Objections from the Court of User Opinion.136
Ch-ch-ch-ch-changes.136
Turn and face the strange.137
Major in Competence.139
Find your center.139
A Bl center that's juuuuust right.141
Raising standards.141
Chapter 10: Taking a Closer Look at Bl Strategy.143
The Big Picture.143
Your Current Bl Capabilities (or Lack Thereof).144
Assessing your business infrastructure.144
Assessing the technology stack, top to bottom.147
Keep the good stuff.149
Throw out the bad stuff.151
Exploring "Should-Be" Bl Alternatives.152
Utopian Bl.153
Coming back to reality: examining barriers
to achieving your desired future state.154
Deciding "Could-Be" Alternatives.155
Judging viability.155
Identifying risks . and also how to mitigate those risks.156
Gauging business value.156
Aligning your alternatives with your organizational
structure and culture.157
Making your choice.158
Considering everything.158
Table of Contents
Deciding on your strategy.159
Getting the necessary buy-in.159
Chapter 11: Building a Solid Bl Architecture and Roadmap.163
What a Roadmap Is (and Isn't).164
Centralized Versus Decentralized Architecture.165
A couple question.166
How to choose.166
BI Architecture Alternatives.168
Starting an architecture evaluation.168
So many choices.170
So little time.170
The short list.171
Taking a second look at your short list.172
Examining costs for each alternative.173
Looking at technology risks.174
Making your decision.175
Developing a Phased, Incremental BI Roadmap.175
Deciding where to start.176
Keeping score.177
Deciding what comes next.178
Deciding what comes next, and next, and next.178
Planning for contingencies.178
Dealing with moving targets.180
Leaving time for periodic "architectural tune-ups".180
Part IV: Implementing Bl.183
Chapter 12: Building the Bl Project Plan.185
Planning the Plan.186
Revisiting the vision.186
Project plan format.187
Project Resources.187
Roles versus Resources.188
BI project roles.189
Project Tasks.191
First pass: Project milestones.192
Second pass: High-level tasks.193
Linkages and Constraints.195
Third pass: Break it down.195
Roles and skills.196
Risk Management and Mitigation.198
Contingency planning.198
Checkpoints.199
Keeping Your BI Project Plan Up to Date.199
Managing to the plan.200
Working through issues.200
Business Intelligence For Dummies
Daily updates.200
Keeping task data up-to-date.201
Back to the 01' Drawing Board.201
Chapter 13: Collecting User Requirements.205
It's Business, Not Technical.206
Documenting business requirements.206
Document size and structure.207
A little help from your friends (and enemies).208
Requirements-Gathering Techniques.208
The data difference.209
User focus.209
Requirements-gathering activities.210
What, Exactly, Is a Requirement?.213
Reporting and analytical functionality.214
Data needed to support your desired functionality.215
Matchup maker.216
The "look and feel" for how information
should be delivered to users.217
Validating BI Requirements You've Collected.218
Conducting the initial double-checking.218
Prioritizing Your Bl Requirements.218
Identifying "must-have-or-else" requirements.219
Getting the final buy-in.220
Stepping on the baseline.220
Changing Requirements.221
Chapter 14: Bl Design and Development.223
Successful BI.223
Be realistic.224
Follow demand.224
Act now, but think ahead.224
Design with Users in Mind.225
Power users.225
Business users.226
The middle class.226
Best Practices for BI Design.227
Designing the data environment.228
Designing the front-end environment.231
Getting Users On Board.239
Reporting review.239
Testing, 1-2-3.240
Pilot projects.242
Proof of concept.242
Table of Contents
Chapter 15: The Day After: Maintenance and Enhancement.243
BI = Constant Improvement.244
Post-Implementation Evaluations.244
Overall project review.245
Technology review.245
Business-impact review.246
Maintaining Your BI Environment.247
System health.248
System relevance — Keeping up with business changes.250
Maintaining lines of communication.250
Extending Your Capabilities.252
Expanding existing applications.252
Installing advanced upgrades.255
The Olympic Approach.256
Thinking long term with a roadmap.257
Evolvability.257
Part V: Bland Technotoay.259
Chapter 16: BI Target Databases: Data
Warehouses, Marts, and Stores.261
Data Warehouses and BI.262
An extended example.263
Consolidating information across silos.267
Structuring data to enable BI.270
Data Models.274
Dimensional data model.274
Other kinds of data models.278
Data Marts.279
Operational Data Stores.280
Chapter 17: BI Products and Vendors.283
Overview of BI Software.284
The dimensional model.284
Working together.285
The BI Software Marketplace.286
A little history.286
Mergers and acquisitions.287
Major Software Companies in BI.289
Oracle.290
Microsoft.291
SAP.293
IBM.293
Business Intelligence For Dummies
Pure-Play BI Vendors.293
Indispensable qualities.294
Vendors by strong suit.295
The sales pitch.300
Part (/I: The Part of Tens.301
Chapter 18: Ten Keys to BI Success.303
Picking Good Key Performance Indicators (KPIs).303
Adjusting the Recipe.304
Coming to Terms with Complexity.304
Thinking (and Working) Outside the Box.304
Picking a Winning Team.305
Doing Your Homework.305
Remembrance of Things Past (Especially Mistakes).305
Considering Corporate Culture Completely.306
Just Going Through a Phase.306
Adopting a Bigwig.307
Chapter 19: Ten BI Risks (and How to Overcome Them) .309
Resistance Movement.309
Moving Targets.310
Tool Letdown.310
Being a User Loser.311
Mister Data Needs a Bath.312
DoughaNo-Go?.312
Scope Creep.313
Rigidity.314
Environmental Crisis.314
Chapter 20: Ten Keys to Gathering Good BI Requirements.315
All the Right People.316
The Vision Thing.317
Connecting BI to the Business Themes.317
Make Sure the Insights Are Within Sight.318
Greatest Hits from Yesterday and Today.319
Consequences of Going Without.319
What's the Big Idea?.320
Going Straight to the Source.320
Adjunct Benefits.321
What's First and Why.322
Table of Contents
Chapter 21: Ten Secrets to a Successful Bl Deployment.323
Start Early!.323
Get What You Paid For.324
Only Losers Ignore Users.324
Name-Dropping.325
Testing 1-2-3 . 4-5-6 . and So On.325
Go to Battle from a War Room.326
Project Management Management.326
Deal with Any Foot-dragging Immediately!.327
Prove That Concept!.328
The Devil Is in the Details.328
We've Got a Live One.329
Chapter 22: Ten Secrets to a Healthy Bl Environment .331
DataTLC.331
Hitting Budget Targets.332
Hitting Schedule Targets.333
Rinse and Repeat.333
Rinse and Don't Repeat.334
Maintain Team Knowledge.334
Remember What You Forgot the First Time.335
Regular Updates.335
Staying in Touch and in Tune.336
Communicating Changes.336
Stay on the Train.337
Maintenance as a Process.337
Chapter 23: Ten Signs That Your Bl Environment Is at Risk.339
The Spreadsheets Just Won't Die.339
Everybody Asks for Help.340
Nobody Asks for Help.340
Water-Cooler Grumbles About Usability.341
Good-Old-Day Syndrome.341
Usage Numbers Decline Over Time.342
Bl Tools Aren't Part of Strategy Discussions.342
Executive Sponsors Lose Enthusiasm.343
Executive Sponsors Lose their Jobs.343
Resistance to Upgrades and Expansion.344
Index.345 |
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| spelling | Scheps, Swain Verfasser aut Business intelligence for dummies [harness BI tools for forecasting and decision-making] by Swain Scheps Hoboken, NJ Wiley 2008 XXII, 358 S. Ill. txt rdacontent n rdamedia nc rdacarrier Business intelligence Business Intelligence (DE-588)4588307-5 gnd rswk-swf Business Intelligence Einführung Business Intelligence (DE-588)4588307-5 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016406835&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Scheps, Swain Business intelligence for dummies [harness BI tools for forecasting and decision-making] Business intelligence Business Intelligence (DE-588)4588307-5 gnd |
| subject_GND | (DE-588)4588307-5 |
| title | Business intelligence for dummies [harness BI tools for forecasting and decision-making] |
| title_auth | Business intelligence for dummies [harness BI tools for forecasting and decision-making] |
| title_exact_search | Business intelligence for dummies [harness BI tools for forecasting and decision-making] |
| title_exact_search_txtP | Business intelligence for dummies [harness BI tools for forecasting and decision-making] |
| title_full | Business intelligence for dummies [harness BI tools for forecasting and decision-making] by Swain Scheps |
| title_fullStr | Business intelligence for dummies [harness BI tools for forecasting and decision-making] by Swain Scheps |
| title_full_unstemmed | Business intelligence for dummies [harness BI tools for forecasting and decision-making] by Swain Scheps |
| title_short | Business intelligence for dummies |
| title_sort | business intelligence for dummies harness bi tools for forecasting and decision making |
| title_sub | [harness BI tools for forecasting and decision-making] |
| topic | Business intelligence Business Intelligence (DE-588)4588307-5 gnd |
| topic_facet | Business intelligence Business Intelligence |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016406835&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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