NICE Sales Performance Management vs. Synygy

NICE is well suited to measure the performance and overall fulfillment of individual employees in call centers/employees whose primary KPIs can be measured over phone interactions. It also does a good job of forecasting future potential as well as delineating individual metrics from team metrics. I haven't used it in situations outside of what I previously mentioned, but it seems like it works best with phone-tied metrics since NICE primarily focuses on this industry. That being said, I can see it being able to adapt to measure any type of Performance Metrics.

Incentivized

It's possible to use spreadsheets to calculate and manage incentive payments, but for a larger organization with multiple sales plans I highly recommend Synygy.

Incentivized

• Love the seamless integration with SAP Business Systems.
• Different skill settings are great for measuring specific data points for individual employees and teams.
• Has the ability to calculate otherwise timely measurements such as call length and sales forecasts.

Incentivized

• Accurate and detailed incentive calculation.
• Managing a large amount of data.
• Excellent customer service.

Incentivized

• The UI is a little outdated making it not super user-friendly-especially for employees who only use it every once in a while.
• Dashboards and data are a little slow compared to other PM systems I've used.
• Expansion into more CRM integrations would be nice.

Incentivized

When it comes to this specific situation (cell centers) NICE definitely has an ADP beat. The analytics, scheduling, and forecasts are extremely well-tailored for this situation. ADP has a more comprehensive solution in my opinion - I feel their UI and mobile app are also more user-friendly. But in terms of performance management functionality, NICE has a more robust system and is able to create additional metrics if we need them When I used ADP there were no custom options available.

Incentivized

• Reduced the amount of time spending on analytics and forecasting methods.
• Takes less time and hassle transitioning to the Cloud.
• Outdated look and feel have made the learning curve/time-to-value longer than expected.
• Saved a ton of time and ensured first time scheduling accuracy.

Incentivized