Operational Analytics and the Enterprise Data Hub

Categories: Enterprise Data Hub

Hired Brains analyst and data expert Neil Raden joins us for the final white paper of his Enterprise Data Hub, The Next Gen Platform series. Neil has taken us through the systems that ensure that data is captured, refined, and presented to business users for advanced analysis that is delivering amazing new business value to organizations. In the final paper Neil discusses how users are taking these deep insights and building robust dashboarding and online application functionality. Neil introduces us to the concept of Operational Analytics.

Operational Analytics offers the promise of automating analytics in order to reach end users (or systems) during the decision-making process itself, leading to Operational Intelligence. – Neil Raden

Companies often struggle to provide analytic capabilities in a timely manner due to the complexity and vast nature of data they have to collect, refine, and analyze. Since this was often done in a batch process spanning multiple hours, often times users were limited to focusing on capabilities that did not require immediate action. Often times data insights were considered forensic rather than prescriptive and actionable. This limitation was often due to the high demand for performance of information systems that yielded costly server architecture. As the technology became faster and performant architecture started becoming an economic reality the concept of delivering real-time data driven applications became increasingly more pervasive.  These new types of applications have unique requirements for concurrency, scalability, and access to data that makes building them a strategic consideration. If you build an application that either does not deliver data fast enough or only affords you access to limited data then it is likely to result in low adoption of your users. This is where Neil introduces us to the concept of the enterprise application hub.

An enterprise application hub is a core functionality of a data hub architecture. It aims to deliver the same insights and access to data that knowledge workers get access to during data discovery but delivers them to a much broader audience and at impressive scale. It aims to give users the ability to understand their companies available data without introducing added risk by giving them undesired access to sensitive information. By creating and ultimately automating through online applications, organizations can implement operational intelligence that allows them to better understand their operations, customers, and social impact.

Hear more about use cases and requirements for operational analytics and how they can benefit from a data hub architecture.

Operational analytics and the enterprise data hub.

Also, don’t forget to access the full series.

The Enterprise Data Hub, The Next Gen ODS

Data Discovery, Analytics and an Enterprise Data Hub


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