Preserve the Past, Empower the Future
Fuse Analytics provides a strategy to securely archive and consolidate your Enterprise application data so you can seamlessly transition into the future.
Maintain full access to your data while sunsetting legacy systems with Fuse Analytics.
Compatible with ALL HCM & Payroll applications including:
A SaaS for your enterprise legacy people data
If you are planning to migrate a HCM or HR & Payroll system, or have recently done so, what do you plan to do with your legacy data? Many companies fail to realize that important & legally required records get lost; either physically, or in a sea or unorganized data that requires IT days to uncover. Fuse Analytics deploys a hybrid warehouse overnight, in the cloud, securely and at a fraction of the cost of home-brew solutions.
Simplify
Simplify corporate mergers, multiple HCM’s, or complex data landscapes. Data archiving can and increase your teams productivity and cut costs.
Secure
Human Resources data is sensitive data that must be secure. Fuse Analytics gives you the tools to ensure your data is protected with Role based access, end to end encryption, and features that enable you to easily comply with regulations.
Analyze
Big Data for people analytics is consolidation of all of the data in one place. What holds you back is inability to use all of your data to analyze and make decisions. Find out how Fuse Analytics enables real Big Data for Human Resources.
Enterprise features:
Archiving
Analytics
Self Service
PII Lifecycle Management
Migrating? Take our free
Risk Assessment Questionnaire.
A well thought out evaluation and planning strategy before engaging vendors is critical to a smooth transition.
Take our 5 min Risk Assessment Questionnaire to:
- Deep dive with your internal organizational & stakeholder requirements before engaging a vendor.
- Build a standard evaluation methodology on which to measure all vendors equally against your requirements.
- Make the most informed, quantifiable decisions on your next generation application landscape, data integration and archiving options.
