Infor Birst Reviews and Ratings

Use Cases and Deployment Scope

We implemented it for our customers to provide them visibility on our product. It was used to build reports and dashboards based on data we have in our tool (procurement tool). One of the primary purpose of Birst OEM was to show the value added by using our procurement tool.

Likelihood to Recommend

Well suited: simple reporting requirements / drill downs. Quite easy to use once you have followed a small training. Less appropriate: Creating complex reports, mixing information between different tables is often not possible. Responsiveness is usually quite slow. Sometimes the tool crashes and it is not saving what you did and can be very annoying, I've found.

Use Cases and Deployment Scope

Infor Birst OEM and Embedded Analytics are used for advanced and complex BI reporting and management information for warehousing and sales functions in the organization. Market leader for BI products and easy-to-use reporting features. Good view on data mind maps for source and target data mapping without code use. End-user can map source and target with relationships for reporting.

Likelihood to Recommend

Infor Birst OEM and embedded analytics are well suited for advanced analytics and business intelligence. It has flexible deployment features and a lot of configuration ability with low code - no coding ability. Ability to ingest data from multiple live data sources. Source data from multiple sources can be segregated into multiple sections based on business criteria. Easily searchable business terms (metadata) across all enterprise analytic content.

Use Cases and Deployment Scope

We use it to create product data and analytics faster to spend more time on growing the business. We spent so much time rebuilding frameworks for so many clients that it was a department of itself. Now that has changed.

Likelihood to Recommend

The ease to create new dashboard is really impressive and simplicity to gather data and make them available to end-users are key factors for projects success. It work great when you move the data inside Birst, but there are limitations for Live enviroments. end-users are key factors for projects success.

Use Cases and Deployment Scope

We use Birst for all analytics and reporting needs across the entire company

Likelihood to Recommend

Birst is great for rapid learning and development, and for taking the place of a data warehouse, ETL tool, and data visualization platform

Use Cases and Deployment Scope

Birst is used as an analytics platform for our clients in addition to our existing ERP. Our clients had a need for an analytics solution and Birst was the most suitable platform that met our requirements. On top of data from the ERP, we are networking with data from other sources and bring them together in a single, unified product. Our client's experience involves interactive dashboards and emailed reports. These dashboards are being used across our client's organizations.

Likelihood to Recommend

Birst is well suited for an organization looking for a cloud-hosted analytics solution that is contained within one package. It is able to connect to a very wide variety of different data sources, and has options for either light or involved ETL procedures, depending on the users experience with preparing data. As with any BI project, it would not be suitable for an organization where there is no dedicated team to maintain and manage the project.

Use Cases and Deployment Scope

We use Birst a number of different ways. The first is to help our customer visualize their data. A majority of customers do not have the expertise to build these reports and visualizations so have done this for them. Our customers can use these reports to better understand their products, how they behave and function. We also use Birst internally to monitor how many devices have been deployed on our networks. We can monitor device transactions, API calls and much more. Within our organization, many departments use the Birst. From Sales, Customer Success, Product, marketing, and engineering.

Likelihood to Recommend

Birst is great for visualizing large amounts of data. They provide a number of different visuals to help better understand data. They are very good at descriptive data, however, if you would like to get into predictive or preemptive analytics, another tool might be better suited.

Use Cases and Deployment Scope

We used Birst as a visualization tool for selling our analytical services to our clients. It was used by multiple people internally (data models, visualizations, and analysis) and externally by clients.

Likelihood to Recommend

Not appropriate for citizen development.

Use Cases and Deployment Scope

We use Birst internally to analyze sales and marketing data to improve our marketing efforts (ROI on digital marketing spend) and to provide insights to our eLearning operations team.

Our marketing team analyzes time series of marketing spend vs the revenue received attributable to that spend and adjusts digital campaigns to optimize ROI.

The operations team extract student engagement data from our LMS and identifies students at risk of not completing their coursework in a timely fashion so that they can engage with them to identify issues and assist.

Likelihood to Recommend

If you are looking for "Instant BI", Birst isn't that tool.

If you want to roll your own solution using a single application to perform all of your ETL, reporting/dashboard, like to get deep in the weeds and have a lot of control of how your data is processed, this is going to make you smile.

Use Cases and Deployment Scope

We have embedded Birst into our SaaS offering to be used by our customers as one of their reporting options. We have embedded it both in minor dashlets on single record pages for a quick view of how records are doing and as a larger dashboard for more details and advanced reports. We also analyze some of our own statistics in Birst.

Likelihood to Recommend

Processing your own well-defined datasets seems to work well. Trying to process more dynamic sets where the data is not well defined (customer defined fields) is not impossible, but takes a lot more work arounds and tricks.

Working with trend data works well. Trying to report on real-time operational data is more tricky due to the time it takes to process your space. I have not used some of their direct connection offerings that might help alleviate that though.

Use Cases and Deployment Scope

We are an OEM of Birst. We embed Birst into our SaaS offering.

Our SaaS offering is a mobile application that allows users to fill out advanced forms for data collection on activities they are performing during there work. We collect, extract and transform the data into a Birst data model and provide dashboards and reports to our users using Birst.

We provide dashboards and visualizations that provide insights into Field Operations, Customer Satisfaction, Service Quality, Quality of Work, and Field Coordination for the purpose of root cause analysis across these "areas of analysis".

Likelihood to Recommend

Birst is a great tool for supporting well-governed analytics data modeling. It has a good balance between the effort required by an IT/ETL specialist and business analysts and reports writers.

Birst does not shy away from the challenges of data governance and stewardship vs the dangers of "quick and easy" departmental or project specific analytic projects where business rules are "invented" vs managed and data cube chaos can quickly become a big IT problem.