Enabling global analytics is one of the most common use cases among customers who build and maintain a data store. In this post, we shall identify the critical components that are required for an end-to-end analytics solution, the characteristics of a great analytics solution, and how Oracle Analytics Cloud, Oracle data integration, and Oracle Autonomous Database, together combine to provide a platform for great analytics.
Any chosen analytics solution should bring together and balance the requirements of two major stakeholders, those in the Information Technology (IT) departments and those in the line-of-business functions.
Fig 1: IT and Business dictates priorities that need to be balanced in an analytics solution
Achieving this balance between the scalability requirements of IT and the user experience focus of a visual tool is critical to the success of any visualization solution.
Oracle Data Integration - The IT Component
Oracle data integration solutions help solve key requirements for a successful IT deployment of an analytics solution. Oracle data integration
Oracle Analytics Cloud - The Business Component
Oracle Analytics Cloud provides the features and benefits that satisfy the requirements of a business user. Oracle Analytics Cloud
Oracle Autonomous Database - The Platform
Oracle Autonomous Database forms the third component of this analytics solution, along with Oracle data integration and Oracle Analytics Cloud. Oracle Database
Watch this video to understand how these three components come together to provide end to end analytics on an Oracle platform.
Fig 2: Oracle data integration video
Oracle Data integration, along with Oracle Autonomous Data Warehouse and Oracle Analytics accelerates speed to insight and innovation while enabling fast access to a sophisticated set of analytics and accelerates data preparation and enrichment. Watch this webcast to learn more about how to focus on growing your business and drive innovation with an end-to-end analytics solution.