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.
Clari works well for sales and executive leadership teams that perform at a high level and collaborate well together. Everyone utilizing Clari needs to understand that it will provide the company with the information it needs to make strategic business decisions. It can not be seen as a more sophisticated way to manage SFDC information. If the company is truly dedicated to improving its forecasting capabilities, then Clari could be worth the investment. If it is just being used to capture sales leaders' forecasts, you don't need Clari. Overall, Clari is a great capability, but you need a good business case to justify the expense.
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.
Sales pipeline management: Clari provides real-time visibility into the sales pipeline, enabling sales teams to track the progress of deals and make informed decisions.
Revenue forecasting: The platform integrates with existing sales and marketing tools, giving organizations a comprehensive view of their sales pipeline and enabling accurate revenue forecasting.
Advanced analytics: Clari uses machine learning and advanced analytics to provide actionable insights into sales performance and help organizations make informed decisions about their sales strategy.
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.
Forecast screen could be easier to interact with. I believe UI's that make users scroll horizontally lead to confuse and missed content since we rarely scroll horizontally on the internet. It's not as natural
Enablement; I am confident my team is underutilizing Clari and that there are many more features that we should take advantage of. For example, the Dashboard screen looks good but in our company, our practice is to use the forecast and opportunity tabs instead. Reps and managers could benefit from a 30 min or 1-hour training session quarterly
I like the opportunity score tracker but it would be great to know more of what comprises the score instead of feeling that it is just an AI. Perhaps giving the user more opportunity to validate or put their own spin to the score
Clari is very good when it comes to usability as I'm accessing it on daily basis as long as I'm on my Notebook, it helps a lot having visibility on my business status and progress on achievement. I can estimate my weekly, monthly, and yearly opportunities closure and revenue. I have some saved views which are so useful to get what I want to see.
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.
Clari was selected due to the flawless integration with Salesforce, updates are made in real time. Being able to monitor everything at a scalable level has also been critical for our team. For example, we have different views established that show the rep level, manager level, director, customer segment. This eliminates unnecessary forecast/pipeline meetings
We have significantly decreased the number of overdue deals in our funnel.
We stay on top of deals within the pipeline much better now, since there is more transparency and accountability. This has sped up our sales cycle and our funnel is much more clean.
