Forrester continues to see ever-increasing levels of interest in and adoption of business intelligence (BI) platforms, applications, and processes. But while BI maturity in enterprises continues to grow, and BI tools have become more function-rich and robust, the promise of efficient and effective BI solutions remains challenging at best and elusive at worst. Why? Two main reasons: First, BI is all about best practices and lessons learned, which only come with years of experience; and second, earlier-generation BI approaches cannot easily keep up with ever-changing business and regulatory requirements. In the attached research document, Forrester reviews the top best practices for BI and predicts what the next-generation BI technologies will be. We summarize all of this in a single über-trend and best practice: agility. IT and business pros should adopt Agile BI processes, technologies, and architectures to improve their chances of delivering successful BI initiatives.
Business intelligence (BI) software has emerged as a hot topic in the past few years; in 2011, most companies will again focus their software investment plans on BI. More than 49% of the companies that responded to our most recent Forrsights Software Survey have concrete plans to implement or expand their use of BI software within the next 24 months. But being interested in BI software and spending money to adopt BI tools and processes do not necessarily translate into successful implementations: Forrester’s most recent BI maturity survey indicated that enterprise BI maturity levels are still below average (2.75 on a scale of 5, a modest 6% increase over 2009). Why are BI maturity levels so low, given the amount of money firms spend on it? Three factors contribute to this rift and can lead to less-than-successful BI initiatives:
Implementing BI requires using best practices and building upon lessons learned.
Mobile devices and mobile Internet are everywhere. Over the past few years, Forrester has tracked continuously increasing levels of adoption and maturity for mobile business applications, but not so for mobile business intelligence (BI) applications. The adoption and maturity of mobile BI fall behind other mobile enterprise applications for multiple reasons, mainly the lack of specific business use cases and tangible ROI, as well as inadequate smartphone screen and keyboard form factors. However, larger form factor devices such as tablets and innovative approaches to online/offline BI technical architecture will boost mobile BI adoption and maturity in the near future. BP professionals must start evaluating and prototyping mobile BI platforms and applications to make sure that all key business processes and relevant information are available to knowledge workers wherever they are.
But mobile BI adoption levels are still low. Why? We see three major reasons.
Smartphones still lack the form factor appropriate for BI
The business case for mobile BI remains tough to build
Mobile device security is still a concern
Now, mobile tablet devices are a different story. Just like Baby Bear's porridge in the "Goldilocks And The Three Bears" fairy tale, tablet PCs are "just right" for mobile BI end users. So what can you do with mobile BI? Plenty!
Improve customer and partner engagement
Deliver BI in the right place, at the right time
Introduce BI for the workers without access to traditional BI applications
Improve BI efficiency via query relevance
Improve "elevator pitch" effectiveness
Give away mobile devices as an incentive to cross-sell and upsell analytic applications