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How to Avoid the Six Worst Practices in Business Intelligence How to Turn Business Intelligence Failure Into Success

How to Avoid the 6 Worst Practices in Business Intelligence

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

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Page 1: How to Avoid the 6 Worst Practices in Business Intelligence

How to Avoid the Six Worst Practices in Business Intelligence

How to TurnBusiness Intelligence Failure Into Success

Page 2: How to Avoid the 6 Worst Practices in Business Intelligence

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.

Page 3: How to Avoid the 6 Worst Practices in Business Intelligence

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

Page 4: How to Avoid the 6 Worst Practices in Business Intelligence

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.

Page 5: How to Avoid the 6 Worst Practices in Business Intelligence

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.

Page 6: How to Avoid the 6 Worst Practices in Business Intelligence

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

StandardizationEnrichmentData 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

Page 7: How to Avoid the 6 Worst Practices in Business Intelligence

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

Page 8: How to Avoid the 6 Worst Practices in Business Intelligence

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?

Page 9: How to Avoid the 6 Worst Practices in Business Intelligence

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