Composable DataOps Platform vs. Oracle Analytics Server

They need to better identify what their product excels at. I'm continually trying to think of new ideas to run through Composable Analytics. They need to better Identify what this product shines at and market themselves to that subset of an industry

The entire deployment and configuration stage was easy and it was accessible across the organization in a matter of days. Oracle Analytics Server being a cloud-based solution helped right from Input of Bulk Data to Info preparation, Data cleaning, and finally Data Modeling. Everything was visual and the Help Wizard was very intuitive.

Incentivized

• Flexible Dataflow Application
• Easy to source data and then compose to create actionable items for supporting decision
• Allowed to do different analysis
• Extremely powerful tool to digest information to produce insight from the data

• Oracle helps with easy customization of reports.
• It helps with the creation of dashboards and the integration of different data sources.
• Oracle BI was a package used for multiple users across our organization - publishing and distributing reports was a breeze.

Incentivized

• I can not really comment because I do not have a complete fluency with the product as of now.
• Recreating the wheel on some uses but i guess that may be user error.

• 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

This is an extremely productive tool.

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.

For me or a staff memeber that uses it frequently, its usability is sufficient. However newbies could have a few issues but find their workflow

Incentivized

No problems, it's that simple.

Incentivized

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

Incentivized

It's fast, efficient and easy to work with. Scheduling could help when planning out a day however overall it's a big plus when rolling out and supporting Oracle.

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 would compare them to custom system like Morgan Stanley has that I use. A more appropriate company is Novus or LightKeeper. This product is potentially much cheaper but Novus and Lightkeeper already have built in Analytics screens that you could potential build yourself with Composable.

Oracle BI works pretty well and has been well acknowledged and appreciated by the business users and power users who develop reports and dashboards. Compared to other tools, Oracle BI object development is easier and has a quick turnout. Using Oracle BI with Essbase and Oracle Exadata db, we believe the performance rendering data is quite good. We are using MicroStrategy as well almost equally, but for critical reporting needs considering the back end is Oracle and Oracle Financial Services Analytical Applications (OFSAA) we have chosen OBIEE.

Incentivized

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

• 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.