The IBM Environmental Intelligence Suite is an AI-powered SaaS solution that provides intelligence to proactively manage the economic impact of severe weather and climate-change events built on weather data.
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Varicent
Score8 out of 10
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From quotas to sales and compensation, Varicent helps revenue leaders in enterprise organizations chart a more effective, connected path to revenue by providing vital data, insights, and sales go-to-market planning tools.
I feel IBM Environmental Intelligence Suite (EIS) is well suited for any organization that is growing and developing programs for sustainability and need geospatial type data to work with analytic tools. Being in the energy services space that was very helpful with some of our ESG reporting requirements.
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
For the use cases we have at the bank, ICM is a perfect solution. For any bank or institution that has similar requirements, ICM would be a perfect solution. But I also think for any use case that has any sort of incentives based on Sales done, this would work amazing, as both Calculations and reports are handled by ICM very well; it's an all-in-one solution, I feel like.
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
Presented meaningful charts and tables of our climate data in the 4 countries we operate and showed strengths and weaknesses across each market.
Formatted the presentation materials so our team did not have to take the reports and put them into a presentable format. We were able to leverage the technology's outputs in raw form which was very helpful and saved a lot of time.
Applied this to some of our client's data to see how we can better serve their business based off the different climates, environments, and countries they operate in (specifically within the real estate sector which is a large portion of our business).
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 [the] model gets more and more transactional data, the calculation time increases. This should/can be handled internally with better model optimization.
Migrating from one env to other sometimes is challenging. There can be better 'Alerts' or 'Explanation' provided to handle it or at least to give a hint of the error.
For managers viewing their rep's report, the access part can be made easier. It should be linked to Payee hierarchy and access can be done automatically.
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
Customer support from IBM is impeccable. They are quick to respond and they don't nickel and dime you for every request you make. Their goal is to ensure your success and as a user, I really feel like they listen to my concerns. That's not to say there are no problems. All software has its issues, but I don't feel like those issues fall on deaf ears.
Given the newness of the platform we have struggled with the integration and onboarding as previously mentioned. Not only from getting our team members setup and able to use the platform but also integrating our current systems to be compatible we had to reach out to the customer support team quite a bit.
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
Any calculations can be implemented as there are hardly any limitations on complexity. However, online real-time usability is lacking - a simple user enters, and the system calculates work in a way that it is in the browser and hence still needs overnight to be properly reflected in the batch calculations and backend tables.
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
All is fast, but with API's it is sometimes slower due to the application we are pulling data from. Reports are loaded directly or within seconds and our reports are very detailed with many columns and rows.
Giving a 10 would suggest there is no room for improvement. I don't feel like their support is perfect. However, I have never met another team that was more dedicated to making sure we get what we want and need.
Test test test. Make sure that the product is calculating everyone 100% correctly. DO NOT accept a 70% pass rate as some companies would like to have you believe is acceptable. This means conducting thorough testing by providing 100% of all expected results, but it will be worth it when you know that the compensation plans are working entirely as expected.
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
In 2015, we used a scorecard containing 80 attributes in our review of Oracle, Callidus, and Xactly & Varicent. Oracle did not have true self serve capabilities- programming was heavily required, not intuitive, out of the box functionality was limited. Callidus & Xactly could not provide us a demo using our data, statements could not be sent out in bulk form, difficulty in importing/exporting to CRM. Varicent excelled in most areas and was the clear winner.
It is very scalable and adaptable to changing complexities of calculations and business rules under a variety of different scenarios. It does not get full points because in large data loads the time needed to calculate and import the data increases exponentially and may cause issues related to timing potentially.
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 were able to scale back our workforce in the EMEA regions due to inefficiencies based off the insights we received.
We had a lot of data we did not know how to use. With IBM Environmental Intelligence Suite we cut back on 40% of our staff's hours to sift the data and analyze. Instead this time was spent loading the tool and analyzing the results as opposed to the more administrative aspect.
Our efficiency metrics (based on internal firm performance criteria) went up by 2 points (35%) for our offshore resourcing once we were able to integrate them into the tool.
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
Compliance - with a central system used for calculation incentive payments and commissions, we are able to provide reports and data showing every detail of how payments are calculated and why they are justified. We can also identify anomalies and outliers.
Integration with our payroll system is seamless. Except for regular pay, nothing goes to payroll without going through ICM. The process for paying incentives/bonuses/commissions is now very structured and efficient.
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
