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.
Below, we've compiled the key statistics from AIIM's independent research study on Content Analytics. Explore the take-up of analytics applications for inbound routing and text recognition, content classification and metadata correction, improved search and knowledge extraction, and business insight.
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91% of information and IT professionals think semantic and analytical technologies are key components for turning information chaos into information opportunities
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84% of organizations will continue to hoard information but will start to rely on semantic and analytical technologies to provide insight and control.
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73% believe there is real business insight to be gained if they can get the analytics right.
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74% think information security, privacy, and compliance should be inherent and transparent to the knowledge worker.
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81% of industry professionals realize that Information governance will never work without ways to automate how information assets are identified, captured, analyzed, and governed.
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63% of AIIM members have started to plan how to automate records declaration and classification; 14% are already doing successfully.
