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.
We use Clari as the primary way to manage our sales business, our opportunities, and our forecasting. Clari provides a very clean, digestible, and easy to manipulate format to view and manage all of the Salesforce information. The fact that Clari is able to provide an easily customizable set of columns and groups, coupled with the ability to write back to Salesforce is fantastic. Anyone in a mature sales organization will find Clari highly effective at helping manage their funnel of opportunities and their business.
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.
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.
I will renew my Clari Subscription for many reasons. 1. Streamlines Sales - Clari automates many manual tasks like note-taking and transcripts. This frees my sales team so they can focus on closing deals. 2. Increased customer retention - Clari helps me identify potential churn risks and take proactive measures. 3. AI-Driven Insights
Clari's UI does not resonate with new users. The backend query updating takes quite long time to update. Lots of fixes are needed without answers or solutions offered by the Clari team. If set up correctly with clear recommendations from the Clari team, all the previous issues may be resolved, however the usability is tied closely to set up.
becasue end of year or around end of Q due to background changes my total number dissapear and make it hard in that week to see forecast numbers accurate
Clari is very willing to jump in and build out use cases. They will work to do anything for you. That said, their follow up is not great. We have had to reach out for follow up several times on a project, which is still not complete. I wish they taught us how to complete what we want, rather than doing it in house for us
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.
At the time of selection, Clari was a more mature product than Xactly Forecasting. We did not want to experience growing pains with Xactly. Pipeline Inspection from SFDC was just becoming available. We had already selected Clari before we learned about Pipeline Inspection.
