Ayasdi Core is a business intelligence software offering from Ayasdi.
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Reveal
Score10 out of 10
N/A
Reveal embedded analytics enables teams and customers to drive data insights with embedded intelligence, transforming the user experience of apps.
Built with embed in mind first, on modern architecture, Reveal’s API aims to remove the complexity of embedding analytics into applications. Reveal’s native SDKs can be integrated into applications on any
platform and tech stack including: .NET Core, Java, NodeJS (coming soon), and
front-end technologies such as React, Angular, WebComponent,…
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
As a company responsible for people money we have to deal with following challenges every day: Clients who want to track the status of their transfers. Licensing agencies who need to ensure professional standards are met. Internal team managers who need to track client and staff progress to ensure company progression and success. Reveal does a good job as self-service tool enabling the accountable parties to have full access to important insights 24/7. The prebuilt dashboard themes save time and investment as we don’t need to hire a dedicated data analyst. The interactive dashboards give full transparency. The ability to easily create, analyze and report keeps clients, partners and stuff on the same page.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Ease of Use - Reveal is super intuitive when it comes to creating dashboards. You don't need to be a data expert, which is key for me.
Sharing - The ability to share across our teams, locations, and with clients is great. We create teams for our different clients and share dashboards there that also are connected to our company dashboards.
Support and Roadmap - Reveal support has been great. They care about the needs of their customers. They have released 3 updates in the last few months, and they are adding a lot of value.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
As a developer of the project, I feel comfortable with this tool for its peculiarities: acceptable costs, simple configuration, creation and maintenance of simple reports, fairly complete account management, also, not least, I appreciate the work done by their technical support always timely intervention and, above all, resolutive. Furthermore, as far as end users are concerned, I found a good appreciation of the proposed reports
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Reveal has a great usability for any level of computer user. The only major thing I see that is not exactly user friendly, is the color scheme issue I stated earlier in my review. Although, I am coming from a graphic design background, I need a platform that every team member in our office can use.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
This assessment is due to the fact that I have not yet found Reveal not available for use. Apart from some problems of development crash, then fixed by the product assistance service, I have not found any particular problems or loss of time caused by the instrument.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The pages load rather quickly even in the presence of several elevations in the same dashboard that insist on different data sources and with visualizations that insist on different types of graph. I can only be satisfied with these performances.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
None in particular, however, would be welcome if improvements were made in the personalization of the prospects and in the connection between them (perhaps being able to transfer the selections present in one prospect to another recalled by the first).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Lacks ability to generate analytics as complex as Tableau and not as easy to embed and interface with other software and databases as Looker. But a very good option for those not needing the complexities found in other products.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
This evaluation is the result of the fact that I have not had the opportunity to deepen the Reveal interface with other tools and / or other software, so the evaluation that I am giving follows what I have been able to read regarding the characteristics of the product online.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info