We Value Your Privacy

We use technology such as cookies on our website, and through our partners, to personalize content and ads, provide social media features, and analyse our traffic. To find out more, read our privacy policy and Cookie Policy. Please also see our Terms and Conditions of Use. By accepting these terms you agree to your information being processed by Inbox Insight, its Partners or future partners, that you are over 18, and may receive relevant communications through this website, phone, email and digital marketing. For more information on how we process your data, or to opt out, please read our privacy policy. Our policies and partners are subject to change so please check back regularly to stay up to date with our terms of use and processing.

Accept Terms Settings
x

Please Sign-In to Access this Report

To access other reports on the platform please sign in with your username and password, or register for a free account to get unlimited access and insight customized for you.

  • Home
  • HR
  • Leadership
  • The 4 Crucial Elements of an Effective Recommendation Engine
Report Empyrean The 4 Crucial Elements of an Effective Recommendation Engine

The 4 Crucial Elements of an Effective Recommendation Engine

HR leaders must consider the quality and context of the tools and technology they leverage, however, not all recommendation engines are created equal.

This At-A-Glance explores the four must-have features for decision support that will help you empower your employees, drive your strategy, and deliver more positive benefits choices and outcomes. With the proper partner and tools, you can improve your benefits’ impact for employees and your business.

Report Snap Shot

Decision Support Must-Haves:

  1. Engaging and Intuitive User Experience
  2. Data-Driven Outcomes Supported by Machine Learning
  3. Holistic Benefit Recommendations and Product Packages
  4. Point-in-Time Education
     

Related Content