Ayasdi Core vs. Rational BI

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

Definitely well suited for small companies, but again many of their competitors are also well suited in this segment. We were in general happy with the solution provided, but I'm not blown away by their solution or support. If you want to get more data-driven visual boards with data displayed in nice graphics is in my opinion a good start, and here Rational BI delivers what it should.

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

• Arrange data.
• Dashboard.
• Automatic reports.

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

• Not seeing anything at this time, comprehensive product.

Incentivized

Overall Rational BI is a valuable enterprise reporting tool for any data driven organization. It offers great depth and breadth of features for reporting and analytics that can lead to better business outcomes. Its easy to use and highly configurable to evolve to changing reporting needs of organizations of any scale.

Incentivized

I haven't used the support myself, but my colleagues have been satisfied with the support. As I have understood from my colleagues the support is as you could expect. Still, the documentation could be better and that could avoid the need to contact their support, but overall we're still happy with the support as well.

Incentivized

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

Rational BI allows a deeper data analysis with respect to the other software I experimented with. The velocity to perform the analysis is similar to the other one. The predictive analysis could be very useful, but at the moment I do not use it in my activities. Dashboards are nice and easy to understand.

Incentivized

• Allows folks to work on other items as reporting is done in the background.
• Scheduling and delivery of reports with one click.
• Single pane of management.
• Ease of use.

Incentivized