Microsoft Power BI Embedded vs. Oracle Analytics

This product is very convenient to use and implement and is considered a "de facto" standard in the Business Intelligence sphere. First of all, it contains numerous features in terms of visualization, data provisioning, data source integration which makes it a perfect tool for the development of BI analytics. Secondly, it provides great capabilities for the development of data markets for the whole development team. Thirdly, the sharing capabilities of dashboards that are updated in a real-time manner provides great incentives for end-users

Oracle Data Visualization is very effective if used in an enterprise context with huge volumes of data coming from different systems. It supports dashboard and reporting capabilities and is easy to scale. It also allows you to leverage machine learning capabilities to extract hidden data trends. Visualization capabilities are powerful but not so various if compared to other solutions on the market. If you want to present a dashboard to an executive audience and you want to make your dashboards beautiful you must adapt them through PowerPoint.

Incentivized

• It is very easy to connect multiple data sources for a single report. You can use CSV, Excel, database integration, etc.
• Power Bi supports Python as well, which makes it a lot easier for us as it is known by most of our team.

Incentivized

• Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
• We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
• OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
• OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.

Incentivized

• Similar to how Excel has VBA, Microsoft Power BI uses PowerQuery (M/DAX). Though DAX is similar to Excel in terms of how it is written, I just think it's something that would be difficult for new users to figure out.
• Something I would like to see done differently in Microsoft Power BI is the ability to have presets for sorting/arranging of visualizations. Though it is nice to arrange the dashboard freely, it would also be nice to have preset arrangements based on visualizations (for those of us bad at making dashboards look appealing).
• With Microsoft Power BI, it is hard to show others your dashboard using the free platform (unless you show them from your computer/account). This can cause issues if your firm is trialing Microsoft Power BI before purchase.

Incentivized

• More AI but with human back up.
• Less mumbo jumbo so even IT guys/gals can more easily work.
• More statistics (math) and orientation for those not familiar with it.
• More live as well as virtual (live) show casing of real situations in business.

Incentivized

Scalability and rich integration capabilities. In the future, if we go with Hyperion for the Financial Consolidation and planning purposes -BI integration with Hyperion is going to be much simpler as it has native interface connectivity and even integration capabilities with well known CRM products (Siebel) and ERP Products (Oracle EBS, Peoplesoft, SAP) is going to be easy and straight forward.

It's easy to use for what is presented in the reports that have been developed and presented. It's not so easy to customize those reports, "make them your own" and save them for later reuse.

Incentivized

Great, if you are limited to using it along with other Oracle products; sadly, not if you are integrating with other products, which can be a challenge. It is a great product with tons of functionality and great integration with other in-house platforms. Great visuals and customization for data and analytics to provide decision-making data and analysis.

Incentivized

No problems, it's that simple.

Incentivized

Other than anomalies or expected quirks, there were never any earth-shattering delays.

Incentivized

Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.

Incentivized

Oracle University offers very in-depth training.

It was a private training site.

Incentivized

A properly implemented Endeca solution performs extremely well on the largest of datasets and it positions your organization to immediately achieve your ROI.

I haven’t used any other software that can be compared to this and that is a good thing as this means that this software is the best one on the market. Tough other apps may exist we only use Microsoft Power BI because it is simply the best app out there.

Incentivized

Oracle Analytics Cloud, is one of the most agile and secure data analysis platforms that according to the budget and the amount of use, you can use the resources you need under the cloud. The Oracle brand is also very well known in this field and can meet all the needs of an organization or industry in any sector.

We have seen the results of this in our initial research and are not surprised that Oracle does this like it does soo many other things in this area, so well.

Incentivized

• Saved a significant amount of time for reporting current rollout status to project stakeholders
• Project stakeholders were able to view the live dashboards at any time so felt they had a better understanding of the rollout status
• Project stakeholders found it beneficial that they were able to set their own filters. For example, to view rollout status for their own departments.

Incentivized

• We've used OBIEE (or it's previous named product) for over 13 years and it's still the most used tool for BI by the business.
• We moved our largest business system off of Business Object into OBI so we could gain improved performance, reliability, and easier management of metadata.