If you are in the enterprise technology industry, you probably know that innovation within the space can be a slow process. Companies that have invested many millions of dollars and thousands of hours in legacy technologies are often reluctant to make bold changes. While it may feel like innovation in enterprise analytics moves at crawl pace, each year is not without its advances. Today we focus on the progress we predict to see this year in the space for business intelligence, analytics and big data technology.
Greater demand for sensor data analysis
With the onset of the Internet of Things, demand for the analytics and reporting of sensor data will continue to take off. The use of sensors to take measurements and monitor activity has already skyrocketed. Just as fitness trackers have managed to put another dashboard into your daily view, the need for solutions that process and display information from sensors can only grow. Even in industries such as commercial retail, the use of sensors like e-beacons, smart shelves, and intelligent fitting rooms are taking off and adding to the demand for systems that can handle big data sets and charts. This sensor technology and its demand for data analytics is still in its infancy.
More mobile user interface solutions
At Bimotics, we are increasingly getting requests to be able to provide our dashboard on mobile devices. With mobile phone screen sizes growing and users’ mobile savviness increasing, business intelligence and analytics will continue the evolution of dashboards on phones and tablets. I expect to see sophisticated dashboard-applications take off, building on the currently available charting user interfaces that have adopted responsive design.
Naming the flavors of business intelligence
This trend became more apparent last year. With the exponential growth of data and its uses, I expect a further “labeling of the flavors” in 2015. Big Data came first for nomenclature to distinguish large volumes of data from disparate sources. Smart Dataemerged as a method of using data that matters and using that data to build foundations for predictive solutions. Terms such as Dark Data, Operational Analytics, and Text Analytics are making their way into the vernacular. The labeling of the different flavors of business intelligence solutions will continue as this large and diverse industry becomes more mature, granular, and specialized in focus.
Even if innovation and advancement takes more than a year for full adoption to occur, things do change from year to year within the business intelligence and analytics industry. Looking beyond purely technical strides and advancements, these are the three broad trends I I expect to see unfold in 2015.
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