If you, like most businesses today, are trying to tackle these challenges through Business Intelligence (BI) techniques like tracking, visualization and dashboards of tracking solution providers, you probably struggle to make your (big) data actionable.
Furthermore, providing truly relevant (in-house) services and insights to maximize your businesses’ conversion rates and revenues becomes very difficult, expensive and time-consuming. Especially if you don’t have a big and specialized BI team consisting of experienced analysts and data scientists.
Problems of Business Intelligence are the reasons for using Operational Intelligence
Traditional BI enables you to analyse your shops’ historical data and draw conclusions about future customer behaviour. Based on the historical data you can also model the data in order to apply it to new users and scenarios through Machine Learning.
But for maximizing the value add of your big data, Business Intelligence still lacks the necessary execution speed and self-learning capabilities. This is where Operational Intelligence (OI) is ahead of BI. It is often seen as and called the next generation of BI.