{"id":3911,"date":"2022-03-15T17:02:42","date_gmt":"2022-03-15T17:02:42","guid":{"rendered":"https:\/\/www.biconnector.com\/blog\/?p=3911"},"modified":"2022-05-31T13:17:46","modified_gmt":"2022-05-31T13:17:46","slug":"oracle-analytics-how-to-create-the-wow-moment-for-power-bi-users","status":"publish","type":"post","link":"https:\/\/www.biconnector.com\/blog\/oracle-analytics-how-to-create-the-wow-moment-for-power-bi-users\/","title":{"rendered":"[Oracle Analytics] How to Create the Wow Moment For Power BI Users?"},"content":{"rendered":"\n

Oracle Business Intelligence Enterprise Edition (OBIEE) users are rapidly adopting Oracle Analytics. The change is primarily driven by the absence of self-service data visualization capabilities in OBIEE.<\/p>\n\n\n\n

Oracle Analytics comes with extensive self-service features, and advanced AI\/ML capabilities. It is currently offered in both Cloud (Oracle Analytics Cloud) and On-premise (Oracle Analytics Server) versions.<\/p>\n\n\n\n

While most companies using OBIEE are switching to OAS as the migration comes at zero cost, a few are moving to OAC as well. Further, many companies, despite using a non-OBIEE platform previously, are switching to Oracle Analytics as it also works great as a single source of truth from a data management standpoint.<\/p>\n\n\n\n

However, the end-users and Analysts are inclined towards self-service tools such as Power BI. These users are already well-versed with Power BI and are reluctant to learn a relatively new tool such as Oracle Analytics. Hence, the companies using OAC or OAS (or even OBIEE) prefer connecting tools such as Power BI to Oracle Analytics.<\/p>\n\n\n\n

In this blog post, we\u2019ll see how you can create the wow moment for your Power BI users by helping them leverage OAC or OAS as a data source.<\/p>\n\n\n\n

Goodbye to Cumbersome Excel Exports<\/h2>\n\n\n\n

The simplest way that comes to mind for visualizing Oracle Analytics data with Power BI is Excel export. A lot of users are already exporting the Subject Areas or the Reports data from OAC\/OAS to Power BI via Excel.<\/p>\n\n\n\n

However, most users are fed up with the Excel approach, as it is entirely manual and consumes a lot of time. Further, they struggle to recreate the existing table relationships in Oracle Analytics on the Power BI end.<\/p>\n\n\n\n

In the Excel Approach, the Direct Query and Scheduled Refresh options are ruled out. Hence, the users are forced to execute the manual export every time they want to analyze the data.<\/p>\n\n\n\n

These limitations force the creator users to refrain from publishing the reports to the Power BI service for collaborative use. In summary, the Excel approach complicates the job rather than simplifying it.<\/p>\n\n\n\n

Get Started With BI Connector<\/h2>\n\n\n\n

So how can you wow your Power BI users then? Well, the answer is BI Connector<\/a>.<\/p>\n\n\n\n

BI Connector is a Power BI Certified connector for connecting to OBIEE, OAC\/OAS data sources. <\/p>\n\n\n\n

BI Connector connects Power BI to both Oracle Analytics Subject Areas and Reports. It works seamlessly with Import and Direct Query modes. BI Connector comes in the Desktop and Server editions to sync with your Power BI Desktop and Service via the On-premise Gateway.<\/p>\n\n\n\n

With BI Connector, you can easily retain your OBIEE table relationships in Power BI as well. From an implementation standpoint, the ODBC setup hardly takes 5 minutes (step-by-step guide<\/a>), and you\u2019re all set to visualize your Oracle Analytics data in Power BI. It\u2019s that easy!<\/p>\n\n\n\n

From a security standpoint, your OBIEE user privileges will be retained in the Desktop edition. The security must be managed manually for the reports published to the service, like for any other Power BI data source.<\/p>\n\n\n\n

From the business standpoint, BI Connector helps you to save your users\u2019 time (1 day\/week\/user) on average. Also, it helps your organization to eliminate the need for million-dollar migration projects!<\/p>\n\n\n\n

What are you waiting for? Get started with a 30-day free trial<\/strong> and create the wow moment<\/a> for your Power BI users!<\/p>\n","protected":false},"excerpt":{"rendered":"

Oracle Business Intelligence Enterprise Edition (OBIEE) users are rapidly adopting Oracle Analytics. The change is primarily driven by the absence of self-service data visualization capabilities in OBIEE. Oracle Analytics comes with extensive self-service features, and advanced AI\/ML capabilities. It is currently offered in both Cloud (Oracle Analytics Cloud) and On-premise (Oracle Analytics Server) versions. While […]<\/p>\n","protected":false},"author":19,"featured_media":3912,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[76],"tags":[160,152,59],"yoast_head":"\nPower BI to Oracle Analytics Connector<\/title>\n<meta name=\"description\" content=\"Check out the best way to use Oracle Analytics as a data source in Power BI. 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