Digital business is the creation of new business designs by blurring the boundaries between the digital and physical worlds due to the convergence of people, business and things. To cities, digital business means smart cities with connected parking, facilities and services.
In most ways, Internet of Things analytics are like any other analytics. However, the need to distribute some IoT analytics to edge sites, and to use some technologies not commonly employed elsewhere, requires business intelligence and analytics leaders to adopt new best practices and software.
Analytics-as-a-service offerings are based on broad categories and attract a range of players with different backgrounds. The urgency to transform into a digital business and to compete more effectively in the global market is forcing buyers to become more information-driven.
Digital transformation is vital for business growth, but working out what to do and how to do it remains difficult for IT and business leaders. At its heart, the digital revolution is about consumer behavior and business opportunity, not technology. The major changes in how consumers use technology, and to where technology is applied, represent a clear and present opportunity to generate new outcomes for modern businesses.
Data and analytics leaders increasingly believe that data science is a critical component of their analytics and business intelligence (BI) modernization plans, and are clamoring to incorporate new. Technologies such as predictive analytics, machine learning and deep neural nets sit at the Peak of Inflated Expectations on related Gartner Hype Cycle.