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  • March 19, 2019

Enabling Analytics with Oracle data integration and Oracle Analytics Cloud on Oracle Autonomous Database

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

  • Provides the latest data, both in real-time and bulk, from various sources to be delivered into the data warehouse that is built on top of Oracle Autonomous Database to power analytics,
  • Helps govern data and provide transparency to the data that underpins the analytics visualizations, for easy lineage and impact analysis, thus increasing trust in the data, and
  • Enables true global analytics, by making data available both on-premises and on the cloud.

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

  • Provides powerful data flows and enrichment features to enable sharable and traceable business data transformations,
  • Avoids Excel clutter and empower analysts to enhance data with no coding skills required, and
  • Enables augmented data enrichment, through Machine Learning driven enrichment and data transformations.

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

  • Provides a robust self- driving, self-securing, and self-repairing data store, providing autonomous datawarehousing capabilities,

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.

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