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Ayasdi Core

Score9 out of 10

10 Reviews and Ratings

What is Ayasdi Core?

Ayasdi Core is a business intelligence software offering from Ayasdi.

Categories & Use Cases

Top Performing Features

  • Pre-built visualization formats (heatmaps, scatter plots etc.)

    Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

    Category average: 7.8

  • Pixel Perfect reports

    Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

    Category average: 7.9

  • Publish to Web

    Category average: 8.1

Areas for Improvement

  • Report Formatting Templates

    Category average: 7.9

  • Formatting capabilities

    Ability to format output e.g. conditional formatting, lines, headers, footers.

    Category average: 7.6

  • Predictive Analytics

    Predictive Analytics is the ability to build forecasting models based on existing data sets.

    Category average: 7.2

Ayasdi Core is a unique analytics tool providing topological data analysis

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.

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.

Other Software Used

Alteryx Analytics, Tableau Desktop, Tableau Server, SQL Developer, Cerner HealtheIntent