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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How to Avoid the Six Worst Practices in Business Intelligence

How to TurnBusiness Intelligence Failure Into Success

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.

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

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.

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.

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

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

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?

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

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