Entrinsik Informer is a web-based reporting and business intelligence application popular in the higher education vertical market. It helps organizations transform real-time data into actionable information by delivering ad-hoc reporting, data analysis, and interactive dashboards.
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KNIME Analytics Platform
Score7.8 out of 10
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KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
It makes creating queries very easy for end users so not only research or technicians can do it. The availability for creating Live reports that are accessible via Excel on the network has given many of our users the ability to get the information they need in a format they can use without needing someone to translate the raw data
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
KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
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
Simple user-interface: Informer is relatively easy to learn and end users can begin running reports and creating new reports quickly.
Email "burst" functionality: This feature allows emails to be sent out based on data in the report. So for example, a report could be scheduled that would email all student employment managers listing out the specific employees that report to them that haven't submitted their time sheets. Each manager would only see the rows that correspond to their email address.
Analytics and grouping: Users can quickly drag columns to group and sub-total, and can use the analytics tab to get deeper insights into the data.
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
There are a lot of reports that we have in Informer that say they have never been run, even though I know they have been run. So that makes it really difficult to determine which reports can be deleted to keep a tidy report list.
The only other complaint I have about Informer is that there doesn't seem to be a properly detailed error code/message when the student information system can't be accessed. For example, I am currently trying to move Informer to its own standalone server and I get an error message saying that our license isn't valid. Informer Support sent a new license, which prompted the same message, and the only explanation they have given me is that Informer can't reach the student information system. I would think that if that were the case, the error message would say that instead of an invalid license.
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
Informer has been handily meeting most of our reporting needs, and we've created a library of hundreds of reports that are used every day. They have a terrific support service to help when you have questions, and I've found them to be great at listening to what customers would like and adding new features. They are a small company that really listens and really cares, and I've been very pleased over the past few years getting to know them.
We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
From the perspective of the new user and a seasoned user I would say eight would represent both parties. It presents a 'familiar' interface and easy to navigate display. Tagging is quite nice and allows for organization of reports based on those tags. These have to be monitored like anything else to keep them consistent but provides a better than average means of organizing reports.
KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
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
Always able to get acceptable solutions in reasonable time from friendly support staff. Initial contact is always with knowledgeable person - not someone reading from a script trying to screen calls. Thanks Entrinsik for being in tune with my needs.
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
KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the 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
We bought the product on a Thursday morning, and we were writing reports on Friday afternoon. We did take about a month to manage the Mapping, Linking and Security to allow us to open it up across campus. We are now mapping from as many third-party vendors as we can to enable the creation of more ad-hoc reporting.
KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
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 have experience with Advizor AnalystX, and it was just awful. It is advertised as an interactive reporting tool, in which you can use your mouse to select and segment constituents by where they live (by clicking on a map), how much they've given to your institution, when they last gave, etc. In practice, their map feature was unusable; it's a static map image (imagine a paper map hung on your wall), rather than draggable and zoomable Google Maps, and it required hours of work to configure one map region. As far as computing constituents' giving statistics, it required way too much back-end work to build simple giving totals.
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
Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
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 have definitely improved customer service due to better reporting using Informer. All departments are better empowered to help our students in a more timely and accurate manner.
Using Informer has given us the ability to eliminate functionality within our ERP system and offload reporting to a data store instead of the transactional system. This has resulted in successfully upgrading our core systems and improved response times.
It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
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
