We use Case Management to improve the way we serve our partners and customers by grouping all of their related information together, front-and-center, in an easy to access “case.” At the heart of serving customers is the daunting task of trying to put all of the information included in a case to work by making a decision or an informed action. But, in a world that seems to triple its information output every year, this task is becoming harder and harder to manage. So, how can you possibly know all there is to know to run your business?
The capacity of computers to recognize meaning in text, sound or images has progressed slowly and steadily over many years, but with the arrival of multi-processor cores, and the continual refinement of software algorithms, we are in a position where both the speed and the accuracy of recognition can support a wide range of applications. In particular, when we add analysis to recognition, we can match up content with rules and policies, detect unusual behavior, spot patterns and trends, and infer emotions and sentiments. Content analytics is a key part of “big data” business intelligence, but it is also driving auto-classification, content remediation, security correction, adaptive case management, and operations monitoring.
Humans hate filing. Even more, they hate sifting content for deletion - and they are generally bad at it. Computers are much more consistent in their application of rules, and given suitable criteria for classification, or for deletion, can hugely reduce unwanted content. This improves the searchability and business value of what remains, and also make-safe any sensitive content. Beyond this, we can use meaningful extraction of comments, opinions, diagnoses, reports, claims, social chat, and so on, to gain business insight, improve competitive advantage, or achieve a fast response.
That’s where the use of Analytics comes in. When teamed up with Case Management, a new world of business value is opened up that allows for contextual search, investigative analytics, predictive analytics, and more.
Consider these data points from AIIM research: