We live in a fascinating data-driven world full of challenges and opportunities – the world of Big Data. With the continuing, explosive growth of data in terms of quantity, diversity of sources and types, and speed, there are tremendous opportunities to explore this “Brave New World of Big Data” to discover new insights that were hard to uncover in the past.
In recognition of these new opportunities, more and more organizations are adding data visualization applications powered with advanced analytics, such as Social Network Analysis (SNA), into their portfolio of advanced analytics – what is often called advanced visual analysis. The growing recognition of the role of advanced visual analysis as part of analytics toolkits is highlighted by recent acquisition of i2 Technologies by IBM, growth of visualization based business intelligence products from QlikView, TIBCO/Spotfire, and Tableau as well as the recent move by Facebook to provide Open Graph as part of their makeover. This is indeed an exciting time for advanced visual analysis.
The growing use of advanced visual analysis applications, especially graph-based systems powered with SNA techniques, have led to remarkable recent track record of success in combating global terrorism, cyber warfare, and criminal fraud activities in various industries. New technologies such as pad computing devices, GPS and biometric based systems, and next generation network management systems for integrated communication of audio, data, and video, the continuing growth of online social communities, as well as integrated demand-supply chain systems have led to rise in demand for using these applications to discover insights from not just highly structured data in traditional enterprise repositories but from all data types across all types of information repositories. The increased success of these applications in different industries will continue to fuel the growth in advanced visual analysis applications of all types in the coming years.
The ongoing industry recognition of the power of advanced visual analysis will yield better integrated analytic systems in many cases, better defined visual analysis infrastructure in others, and overall a superior experience and results for organizations focused on maximizing the value of their Big Data. This is a fascinating and exciting time for those of us involved in visualization, advanced visual analytics, and advanced data analytics of all types. We are entering an era where our ability to discover actionable insights in the right context is leading to a fundamental paradigm shift in how we leverage our data assets to create more agile, efficient, and intelligent organizations everywhere.