Ayasdi Core vs. Zoho Analytics

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

Zoho Analytics is the best way to consume data created by Zoho products . It's robust and quick build formula libraries and auto generated reports. A data source can be integrated and be ready for consumption within minutes. This gives a well developed baseline for organizing to develop advance analytics. It's mobile dashboards are very intuitive and useful for leaders who are on the move.

• 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

• Zoho Analytics’ predictive analytics capabilities can help forecast future trends, allowing for proactive planning and risk management.
• Performance Monitoring: We can track key performance indicators (KPIs) across departments, such as sales, marketing, finance, and HR. This aids in identifying bottlenecks and areas for improvement.
• Decision making regarding resource allocation.

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

• I'm guessing it's out there somewhere but I really could have used a 'quick start guide' or guided start.
• Once I figured it out, it makes sense how to make sure the right data is provided in order to make dashboards quite flexible--- but without examples, I found it quite a challenge
• The initial organization of Analytics is NOT intuitive. Once in context, the organizational features make sense, but (at least initially) it would have been most useful if the organization of Analytics reports in Zoho Analytics had saved me a lot of time.

Incentivized

I'd give this an 11 if I could! As our business moves forward we hope to use Zoho Analytics more then we do now. Creating better reports and dashboards for our management team to evaluate the health of our business and to provide more insightful reports for our customers. The possibilities are endless with this tool

Incentivized

For an end user, Zoho Analytics is pretty easy to use and very easy to access the dashboard. Linking data from multiple sources is very convenient. Multiple people can work on preparing and publishing the dashboards simultaneously, which helps delegate tasks.

Incentivized

ZOHO is a very reliable company/product. We never had any issues with downtime or inaccessibility to our data. Any type of maintenance that they had to perform was clearly communicated and never an issue. We use a lot of external hooks and we've never had any issues with getting ZOHO to communicate with any of those hooks.

Incentivized

ZOHO has obviously invested a lot of time effort and money in to creating a reliable infrastructure with high availability. We've never had any issues with performance and all of our data crunching small to large has always been well within reason. We have come to appreciate the performance of ZOHO and will continue to use it for all of our data needs.

Incentivized

The support team is honestly not that great. At times, it seems as if members of our own team know more about the product than the support team. They must not have a lot of training or the turnaround is quick

Incentivized

If your external data sources are previously organized and correlated (e.g.: in your datawarehouse or database) your implementation will be easier. Of cource some not previously predicted correlation would be necessary to be done during the implementation, but if your organization let it to be all done into Zoho Analytics, it will take more time from your team.

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

Zoho Analytics has the best UI and user friendly to create reports and dashboard along with features like Zia Assistance that guide in creating reports and dashboard and also help in the forecasting of the data based on the past records.

As far as I know, Zoho Analytics has been able to fulfill every need we've had for it. Our reports have gotten better and more detailed with pretty much every new issue of our magazine. It just keeps getting better, and we keep feeding it more data to digest and present to us.

Incentivized

• Analytics has been the foundation of my role. I manage 2000 accounts myself, so I need analytics to help me know whom to serve first.
• Analytics provides a lot of visualization options that I need to serve my customers.
• Analytics has excellent options for accountability with our training team to know where each account is in their customer journey.

Incentivized