Company wide scanning of front-end data volumes for classification in the AnylinQ data model. Analysis of company data provides the necessary insight to define the best data management and IT infrastructure optimizations.
- Data Analytics
- Data Clean-up
- Data Protection
- Data Acceleration
- Data Life cycle management
- Big data
- Server, storage & network
- Infrastructure Optimization
- High Availability
- Disaster Recovery
Free-up capacity on expensive production systems by cleaning up orphaned data. Removing personal data on company systems and deletion of data without owner, usage or historical relevance.
Enterprise backup & recovery. Secure company data in one centralized backup that’s replicated to a second location for disaster recovery purposes.
Use smart and innovative technology to identify high performance data and increase its availability. This leads to optimization of application-, database performance and end-user experience by reducing access times.
Off-loading inactive data from high performance systems for deduplicated storage in digital archives on more economical high capacity systems.
Processing large volumes of company data to create valuable insights for data driven business decision making.
Design and implement custom solutions based on premium enterprise IT hardware. Includes server, storage, network and cloud infrastructure.
Optimize IT infrastructure to ensure the right availability and performance for your company data.
High availability systems for guaranteed business continuity of company critical data and systems. Implementation of replication and automatic failover technology.
Ensure quick recovery of company data and applications in case of serious incidents or even a disaster. Recovery Point Objective (RPO) and Recovery Time Objective (RTO) optimization.
Backup and Disaster Recovery in the cloud. Cloud migrations. Securing data from various clouds in 1 onsite backup for data compliance and to always remain in possession of your own data.