Training Data Management
Reduce Training Time to Enhance Productivity
There is a high churn of employees using different digital systems.
New employee training takes a long time and up to 6 months in many cases to be self-sufficient.
Maya Data Customer (Norway)
What if...
companies could save time on training
by using real-like training data?
The time and cost of training employees on how to use the system for performing their day-to-day activities can be minimized significantly if trained on a system and data like the real.
Problem: Making use of Production Data
Reduce Training Time to Enhance Productivity
Scalable Process
Standardized and repeatable for consistent results
Cost Reduction
Saves 70% compared to traditional methods
Seamless Integration
Harmonizes data across multiple systems effortlessly
Faster Setup Times
80% quicker implementation, from months to weeks
Solution: MAYA's Technology
1. AI-based personal and sensitive data identification and classification
2. PET based data transformation – no patterns needed
3. Cross-application data consistency by default (no customization needed)
4. DB based approach – latest technology, fast results, integration to non-SAP data
5. Regulatory compliance (client ownership, no data stored on MAYA’s platform)
6.SAAS cloud OR private cloud (on-Premises deployment) giving consistent transformation by default
€2000
Saved on Training Per Person Per Job
Main cost saving is in employee training. On average save 20% of training time while onboarding new joiners, hence saves average 2000 euro on training per person per job.
Enhance Productivity
Getting high productivity due to freedom of an employee to try and learn fast in real like systems, helps to have better satisfaction for both trainees and supervisors at the same time.
Saved on Training Per Person Per Job
Reduced implementation and deployment timeIn implementing the solution from MAYA compared to others like time to deploy the solution reduced from months to weeks
Reduced employee training time.20% of time in 2 weeks, saving 2 days for 1000 staff switching roles in a year, which is 2000 days of saved shift time.