Likelihood to Recommend 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.
Read full review 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.
Read full review Pros 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. Read full review 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. Read full review Cons 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. Read full review Reports that output data to portable and mobile devices should be in a better and more appropriate form and improved. In the beginning, the initial settings take some time, which I think requires a smart wizard to set up and get started. Must add mores diagrams and graphs Read full review Support Rating 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.
Read full review Alternatives Considered 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.
Read full review Oracle Business Intelligence Cloud Service (OBICS) does well in terms of handling data, creating joins, managing database relationships, and data integration from multiple sources. However, the visualisation features on Oracle Business Intelligence Cloud Service (OBICS) are limited when compared to other business intelligence tools like
Looker or
Tableau . Again, the choice of tool depends on your specific requirements. Both provide different features and both are good at what they offer.
Read full review Return on Investment ROI is better than average; the product pays for itself in the long run Ease of use, which is very important in today's busy environments. Can be costly based on the amount of user licensing, which is a flat cost per user. Read full review ScreenShots