Digital-first businesses are managing an overwhelming amount of data, and many are struggling to make sense of it all and turn it into meaningful and actionable insights. Customers want fast and more personalized experiences at their fingertips, and real-time analytics is a key tool that companies can use to deliver tailored and responsive user experiences while analyzing data in an instant to meet these expectations.
Despite the benefits of real-time data, it is often france rcs data underutilized and adoption remains slow among organizations. Why? Avoidable mistakes, inadequate resources, and a lack of technology access altogether prevent organizations from reaping the full benefits of real-time data.
Common Oversights and Roadblocks to Real-Time Data Analytics
Today, real-time data capabilities are mostly accessible to mature, forward-looking organizations that have the tools and resources – like custom databases and solutions – to properly leverage the technology. For many organizations, real-time analytics aren’t as easily attainable due to challenges like data integration and system complexity across a fragmented data ecosystem, as well as gaps in technical expertise. According to recent research, only 17% of enterprises have the ability to perform real-time analytics on large amounts of data. Without proper resources, organizations can’t provide the real-time experiences their customers desire.