Enterprises, irrespective of the size of operations, thrive on accurate data to make growth predictions. They also need data to study historical processes and future trends. Given the critical nature of data availability, analytics and reporting can be a linchpin binding data from different sources together even as you plan for your business growth. This is where Oracle Business Intelligence Enterprise Edition (OBIEE) comes in. Its common infrastructure and proven architecture enable dashboards, scorecards, enterprise reports, ad-hoc analysis, and OLAP analysis, enriching the end-user experience.

Moreover, with Oracle Analytics Cloud offering visualization, reporting, voice command capabilities, NLP, etc., you have cloud analytics in a single platform. It includes self-service visualization and inline data preparation that delivers proactive insights with enterprise reporting, self-learning analytics, and advanced analytics. OAC gives the end user a self-service approach to analyze the data, whereas, ADW provides an autonomous warehouse environment.

Oracle Analytics Cloud (OAC) & Autonomous Data Warehouse (ADW)

OAC and ADW are cloud-based and offer advanced artificial intelligence and natural learning capabilities. They address the need for cloud-based analytics and data warehouse with flexibility, self-service tools to enhance the productivity of developers, analysts, and data scientists.

There is a tight integration between OAC and ADW, and you can load data into ADW using OAC without being a DBA or knowing how to write code.

ADW offers an autonomous warehousing environment for fast query performance. OAC is scalable and secure with a complete set of capabilities to deliver collaborative analytics for you, your business unit, and your enterprise. You also have flexible service management capabilities, including a fast setup, easy scaling and patching, and automated lifecycle management.

Moreover, Oracle Analytics Cloud as PaaS has in-built connectors to create source and target databases for visualization by storing, extracting, and transforming the data. These connectors extract data from different sources such as Oracle Autonomous Data Warehouse, Oracle DB, OATP, SQL Server, Oracle Fusion, to name a few. You can place these connectors within OAC as the source and target connections.

Oracle Autonomous Data Warehouse (ADW) is designed to mitigate the complexities of operating a data warehouse, securing data, and developing data-driven applications. It is also developed to automate provisioning, configuring, tuning, scaling, and backup data. It includes self-service data loading, data transformations, business models, intuitive insights, and built-in converged database capabilities to streamline queries across multiple data types and ML analysis.

What’s more, ADW offers Application Express (APEX), a highly productive, no-code/low-code environment that is a favorite among developers everywhere. Moreover, Oracle ADW supports self-service tools such as simple drag and drop loading, declarative transformations and data cleansing, automatic creation of powerful business models, and discovering hidden patterns and anomalies. ADW supports robust integration with third-party tools and built-in loading from other clouds such as AWS, Azure, and Google.

Data migration is a key differentiator as Oracle ADW provides ease of migration and zero downtime from the Oracle Database. You can also migrate non-Oracle data sources easily with SQL Developer Migration Workbench and Oracle GoldenGate.

Leveraging OAC and ADW together

As Oracle Analytics Cloud and Oracle Autonomous Data Warehouse provide data analysis and visualization, OAC leverages the Oracle ADW by enabling users to perform data visualizations and semantic and predictive analysis. Therefore, enterprises can easily identify their KPIs and metrics, handle their data integration and review their future state data and analytics roadmap.

The optimal way of using data to drive business growth is through automated tools that can connect and integrate, store and process, and analyze and visualize the potential. That’s what you get from a modern data warehouse. It runs itself, secures itself, and saves nearly 80% of administration costs with little to no human intervention, and cuts administration work by nearly 90% as business units can operate without reaching out to IT.

Above all, they enable mobile users to perform analysis even as their devices remember the patterns and adopt individual preferences. OAC is made for natural and intuitive interactions with the platform.

In conclusion

Both OAC and ADW are game-changers in how data analytics can be optimized to make an enterprise a force to reckon with. Self-service Cloud Analytics with OAC and ADW is a solid response to business needs because data-driven analytics give you deeper insights into the organization and each business unit. Analytics also leads to greater accountability and transparency, helps make strategic data-driven decisions, continuous improvement, and increased productivity.

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