Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use. It’s this latter usage that I prefer and I’d like to explore in this perspective.
Despite all the advances organizations have made with respect to analytics, our most recent research shows the majority of the workforce in the majority of organizations are not using analytics and business intelligence (BI). Less than one-quarter (23%) report that one-half or more of their workforce is using analytics and BI. This is a problem. It means organizations are not enabling their workforce to perform at peak efficiency and effectiveness. It means the workforce in many organizations does not have access to the same information by which they are being measured. It means organizations must find other ways to communicate with, and manage, the workforce.
Topics: Sales, business intelligence, embedded analytics, Analytics, Data, Sales Performance Management, Digital Technology, Digital Commerce, natural language processing, subscription management, partner management, Revenue Management, Sales Engagement, Collaborative & Conversational Computing
Ventana Research recently announced its 2022 Market Agenda for Analytics, continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments in order to improve business outcomes.
As with many IT innovations, augmented reality (AR), extended reality (XR) and the related topic of spatial computing had been discussed to death long before they became a practical reality. As a user interface, AR is already well understood in terms of its ability to open vast new vistas in entertainment as well as making physical tasks, such as machinery maintenance and warehouse pick-and-pack, far more efficient. In the case of spatial computing, by using glasses to superimpose workflow directions, instructional videos, messages and the like onto the three-dimensional world, individuals can complete tasks faster with little formal training and make fewer errors in the process. So, long before these AR devices, tools and their related UI techniques are adapted to create a new era of immersive business computing, here are some thoughts on this idea.