Ayasdi Core vs. Oracle Analytics Server

Well suited: 1. If data set is not yet well organized. 2. Hypothesis is not yet established. 3. Need to visually explore to find patterns of data (often when analysts have no good understanding of data) 4. When [you need] to analyze events with a timeframe (specifically a sequence of events as a transaction) Less appropriate 1. If a data set is very large, such as Hadoop data, it becomes hard to manage data pipeline and process to feed the data into Ayasdi. To be feed into Ayasdi, data should be aggregated or organized to some level.

Incentivized

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

• Ayasdi Core provides an easy way to get some insight on data. Typically analytics may require having a model or hypothesis before starting to look into the data, but Ayasdi lets you just feed the data first then start seeing what the data looks like.
• Ayasdi Core's topological network visualization is quite unique. It allows you to explore patterns and potential relations between multiple data elements. A user can also dynamically navigate data with different aspects on the web.
• The Web version of Ayasdi is easy to use, stable, and fast. It hasn't crashed even when we feed it a lot of data sets, although it took time.

Incentivized

• 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

• Use of Python SDK is required to feed data into Ayasdi, but it lacks training materials or sample codes for a novice to get started.
• Although Web UI of Ayasdi is looking good, often it freezes when the user runs an analysis. It doesn't crash but the web page needs to be refreshed to see the progress of analysis.
• Algorithms provided by Ayasdi, such as metrics types, lens types need to be explained (what they are and what their strengths and weaknesses are). We had to Google or do research on our own to understand what they are.

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.

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.

We had a working group that has been using R studio for the general purpose of statistical analysis in our organization. Although it is a great tool that provides enriched function sets, it is time-consuming for our clinical analysts to learn the tool to see the first result. R is somewhat of a developer-oriented/friendly tool. Ayasdi is friendly to a domain analyst or end users. Plus, support and consulting from Ayasdi were excellent so that we could get knowledge from them immediately whenever we needed.

Incentivized

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.