Composable DataOps Platform vs. OpenText Magellan BI & Reporting

They need to better identify what their product excels at. I'm continually trying to think of new ideas to run through Composable Analytics. They need to better Identify what this product shines at and market themselves to that subset of an industry

iHub is a decent enough environment that it serves our needs. We can have unlimited users and it can tie into AD although we do not use that feature currently. It is a decent place to store all of the reports in one location, even though for us it is not visually appealing to the end users. iHub is not a place where you want to create robust/interactive dashboards for end users to drill through and follow a "story".

Incentivized

Independently Invited by TrustRadius

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

• Flexible Dataflow Application
• Easy to source data and then compose to create actionable items for supporting decision
• Allowed to do different analysis
• Extremely powerful tool to digest information to produce insight from the data

• It is fairly easy to set the sharing rules for a report/dashboard.
• They have a decent amount of time frame options for setting a schedule to generate a report.
• The support is mostly helpful and timely if you have an issue.

Incentivized

Independently Invited by TrustRadius

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

• I can not really comment because I do not have a complete fluency with the product as of now.
• Recreating the wheel on some uses but i guess that may be user error.

• Setting up a "dashboard" is extremely lacking in functionality. The different chart widgets you place on the page do not interact with each other. When you select an item from one do not expect it to highlight or filter another.
• The speed and stability are not great, but maybe that is just our environment not being up to snuff...even though we are above the "recommended" settings.
• The main GUI for a user is TERRIBLE. You log into a File Tree format where you have to navigate folders to reach the correct dashboard. There are ways around this, but it would either require an expensive payment to the Professional Services team to revamp to UI or another option they gave us was to create the "Default Dashboard" and provide that link to users and in that Dashboard, you use a new tab to include the navigation back to the main screen so that at least on the initial load the user is taken to a friendly looking dashboard instead of a file tree.

Incentivized

Independently Invited by TrustRadius

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 is an extremely productive tool.

I would compare them to custom system like Morgan Stanley has that I use. A more appropriate company is Novus or LightKeeper. This product is potentially much cheaper but Novus and Lightkeeper already have built in Analytics screens that you could potential build yourself with Composable.

Our instance of iHub does not stack up against the other larger BI tools out today. It is a good place to store reports in a central location that allows users to run very specific reports on demand, but it is not a place I would want to store all of my "dashboards". As far as holding individual reports that are specific to an individual need, it is a great tool. If you want to create a report that will be used as a Template for a Form or a Label, iHub is a good choice to store and schedule the report or call it via API to generate it and return it to your calling app.

Incentivized

Independently Invited by TrustRadius

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