This presentation summarizes the six worst practices in business intelligence (BI) and provides links to resources to help you avoid them.

1. How to Avoid
the Six Worst
Practicesin
Business Intelligence
How to Turn
Business Intelligence Failure
Into Success

2. Avoid the Six Worst Practices
BI projects have a
70-80% typical
failure rate.*
Learn to succeed.
* Goodwin, Bill. “Poor Communication to Blame for Business Intelligence Failure,
Says Gartner”, Computer Weekly.com, January 2011.
Learning what not to do is the first step.

3. 1. Buying What Analysts Want Without
Considering Other Users
Most people can’t use
tools that require
too much time, training,
or IT intervention.
Tools are only for specialists.
Analysts tend to choose tools that work well for them.
But non-specialists need something simpler: InfoApps.
bit.ly/infoapps-nonspecialists

4. 2. Buying New Data Discovery Tools
Without Changing the Excel Mindset
Excel Hell isn’t a place – it’s a
way of working.
Enterprise Analytics demands auditable, integrated results
derived from trusted and consistent data.

5. 3. Making a BI Purchasing Decision
Based on One Hot Feature
Flexibilty and
extensibilty matter
as much as any
single feature.
Don’t buy a feature list.
Lay the foundation for a comprehensive BI strategy.

6. 4. Lack of a Concrete Data Quality Strategy
Analysis without
trusted data is
like gambling
without knowing
the odds.
Business User IT Professional
Business User IT Professional
Data Profiling
Impact Analysis
Cause Analysis
Assess Cleanse
Remediate Master
Standardization
Enrichment
Data Quality Firewall
Stewardship
Monitoring
Data Correction
360° View
All 4 MDM Styles
Multi-Domain
Data is the foundation of analytics. Data quality is the
foundation of analytics you can trust.
bit.ly/ib-dq-pa

7. 5. Not Considering Mobile Users
in Your BI Strategy
“I don’t need that
on my iPad,” said
nobody ever.
Mobile used to be a second-phase item.
Now you should be going mobile first.
bit.ly/ib-mobile1st

8. 6. Ignoring New Data, New Sources, and
New Compliance Requirements
Real-time Data Integration
Operational Data
SAP ERP
Data Warehouses
Data Marts
Data Warehouses
Data Marts
Oracle ERP Hadoop &
Columnar
Messages
Web
Machine
Social
SAP ERP
Legacy
Batch Data Integration
Big Data Integration
Application Integration
Information is getting more complicated.
Why would your users expect a single source?

9. Avoid the Six Worst Practices
Learn from the
extensive
experience of
tens of thousands
of our customers.
Don’t repeat others’
mistakes.
Download the White Paper.
bit.ly/worst-bi