The quest for business intelligence success has evolved over the past few years, and organizations of all types are integrating new features in a quest to assume primacy within their own industries. This journey can prove taxing for organizations that miss the mark with their strategies, however. It's vital to concoct overall plans that acknowledge the power new features such as big data analytics possess and create realistic scenarios for adopting these features. The best strategies are targeted at business needs and combine technology and expertise. The worst ideas tend to lose their way due to unfocused designs and end up wasting time and funds.
The perils of BI
Becoming a more efficient business is a BI goal, but improper addition of technology can lead down the opposite path. According to InformationWeek, Gartner's Svetlana Sicular studied the market and indicated numerous ways to come up short when dealing with big data, and they center on what organizations don't know. If firms design big data processes without well-defined questions to answer or the proper mix of officials and end-users, they may find that the wheels are turning on the technology but they aren't getting anywhere. A great BI or big data plan perfectly matches tools and users with a worthy subject, and a failure in any one of those categories can bring the whole operation down.
Sometimes, ideas and execution simply pull in opposite directions. The source noted that Sicular warned against setting up divisions between groups of data. The idea of a big approach is pooling content. If firms fall short of this goal and settle for giving each department its own little sandbox of data, the result may be shallow analyses that don't reach their powerful potential. InformationWeek explained that the reason behind such issues often comes down to the ingrained way workers operate. If they are used to not sharing content or have a regulation stating that they should not, that's the likely result.
Making it easy
There's one more challenge that might come along with using big data. This content may be too challenging for users to understand, effectively wounding its potential to enforce change. This is where software tools such as Necto prove their worth, combining data access with easy interfaces that employees of all departments and specializations can master. This is the final piece of the puzzle, assembling the right content in a way that suits all relevant workers. Big data can go from theory to practice, avoiding the pitfalls.