Five Mobile Business Intelligence Traps to Avoid - Slide 2

Email     |     Share  
1 | 2 | 3 | 4 | 5 | 6 | 7
Next Five Mobile Business Intelligence Traps to Avoid-2 Next

When users are introduced to mobile business intelligence, they may expect it to offer the feature richness they enjoy on their laptops or PCs. Unfortunately, mobile BI does not currently allow actions like "drag-and-drop," so it will never be quite the same experience. To make up for this, mobile BI apps should leverage device-specific controls and gestures that allow for zooming in and out and should make use of large buttons and easy navigation to make the experience as user-friendly as possible. Preparing users to miss some features but embrace others is the way to ensure a smooth transition from desktop BI to mobile BI.

Mobile business intelligence is poised to skyrocket in 2012 and beyond. With up to 80 percent of users expected to access BI exclusively on their mobile device within two years, mobile BI has become a critical part of many businesses’ IT strategy. As the desire for mobile BI grows, businesses are jumping rapidly into the pool in some cases, without fully forming a long-term strategy or managing users’ expectations, which can lead to low adoption rates or ultimately project failure.

Businesses should avoid the following pitfalls as they dive into mobile BI deployments, according to global BI vendor arcplan.

More Slideshows:

Twelve Virtualization Myths Debunked Global Knowledge takes on some of the most common myths about virtualization.

Ten IT Infrastructure and Security Trends for 2012 Symantec provides 10 predictions for the new year.

Fifteen Hot Android Apps for On-the-Go Business Execs Popular business and productivity apps for busy executives.


Related Topics : Business Intelligence Vendors, Data Quality, Data Warehousing, Key Performance Indicators, Knowledge Management

More Slideshows

ArriaNLG-IoTAutomation0x Internet of Things Personified: Integration and Automation

The real value that the Internet of Things brings is at the intersection of gathering data and leveraging it. ...  More >>

email12-190x128 Why Email Is a Business’ Greatest Untapped Resource

Five ways enterprises can use email analytics augmented by machine learning to surface insights that can help them ward off risk and meet or exceed goals across their organizations. ...  More >>

Analytics19-290x195 How to Evaluate Predictive Analytics for Your Business

Predictive analytics uses past data to forecast outcomes and target the right prospects – a move that's redefining the use of data and insights in marketing. ...  More >>

Subscribe to our Newsletters

Sign up now and get the best business technology insights direct to your inbox.