Best Practices for Maximizing the Potential of Mobile BI and Analytics

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Title : Best Practices for Maximizing the Potential of Mobile BI and Analytics 
Edition : 
Year : 2017
Authors : David Stodder
Publisher : TDWI



Preface 
With mobile computing becoming ubiquitous, organizations need to maximize its potential for business decision making, from the executive level to operations. Mobile phones and tablets are more
than just additional computing platforms; they accompany users wherever they go, which makes location the context for what they are trying to accomplish when using the devices.
Bringing together applications, services, and native functionality, mobile devices fuse together communication, computing, data discovery, multimedia content, and participation in transactions.
Mobile computing offers an unusual opportunity for organizations to innovate with new ways of improving employee productivity, partner and customer relationships, sales and service, and
business transactions. 
Business intelligence (BI) and analytics are critical to this innovation because they can infuse mobile activity with data insights. At first, when users tried to employ mobile devices for BI and analytics projects, many organizations were wary of allowing it due to security and performance concerns. Indeed, mobile computing presents new challenges, security among them, which organizations need to address. However, technologies and practices have matured, giving organizations greater confidence  in deploying secure BI and analytics applications on user devices.
As experience in addressing user requirements has grown, many organizations are moving forward with deploying applications that are fit specifically for the purposes of mobile computing rather than merely replicating desktop-based BI reports, dashboards, and analytics capabilities on mobile devices. Leading organizations today are focused on how to develop mobile applications that increase user adoption and embed data insights into more of their strategic decision making, operations, and customer and business relationships. 
This TDWI Checklist discusses six best practices for maximizing the potential of mobile BI and analytics. The points cover a range of concerns such as application design, integration with enterprise data and security management, and using insights to innovate in operations. 
With success in these areas, organizations can better adapt to new work environments where users are on the go and want to make data-informed decisions in complex, fast-paced work scenarios. With these practices, users will be able to  apply data insights to improve efficiency, effectiveness, and  agility in a range of scenarios including sales, service, and operational management.


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