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TDWI Best Practices Report: Mobile Business Intelligence and Analytics

Mobile Business Intelligence and Analytics: Extending Insight to a Mobile Workforce

December 28, 2011

Excitement is growing among business users about how they could use mobile devices to transform the role of information in customer interactions, performance management, planning and forecasting, and their daily operational decisions while on the go.

IT executives, managers, and BI directors do get excited about any technology that can increase opportunities to deliver the right data to the right users at the right time: the credo of BI. Because they make it less relevant where and when users can interact with data and receive alerts about changes and trends that impact their responsibilities, mobile devices can bring organizations closer to the realization of “right data, right users, right time” objectives that are behind most BI deployments.

What’s critical, however, is to enable BI and analytics to thrive by making best use of what is “insanely great” about mobile devices (to borrow late Apple cofounder and CEO Steve Jobs’s famous expression). Many of the touch, content-interaction, and collaboration features that make tablets and smartphones so appealing for consumer use could also revolutionize the experience of BI, particularly for nontechnical users.

This report examines the impact of mobile computing on the development, management, and implementation of applications and services for BI and analytics. It will also explore the types of functionality most important to users on the go, and the challenges that IT data management must address to support mobile users’ functionality requirements. The report will recommend best practices for organizations that are planning to deploy BI and analytics applications and Web browser–based services on mobile devices.

Download the full, 36-page TDWI Best Practices Report for an in-depth look at the benefits, challenges, data management issues, and recommendations for implementing mobile business intelligence and analytics.

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