Data Management

Data Management

Data Management: Helping to solve the cost and complexity of data growth on your data

All data management challenges originate from an uncontrollable data growth (typically 50% per year) which combined with the following issues cause businesses to re-think their data management strategy:
  • Server & storage availability and uptime
  • Business continuity & disaster recovery: protection against server & storage outages
  • Capital cost to procure additional physical infrastructure
  • Operational costs (people, power and processes)
  • Meets legal, financial, insurance industry data protection compliance requirements

> Optimise and centralise your infrastructures data management: proactively manage your data as a single, holistic view across your entire environment

> Agnostic Data and Storage Management

> Secure File Sync & Share

Don’t lose grip on corporate data through the combination of poor data governance and an increasing reliance on less secure file sharing solutions

> Hybrid environments: making data from file sync and share services, such as OneDrive and Dropbox, visible to IT for protection, discovery and compliance

> Fully-integrated solutions for endpoint data backup, recovery, access, security, file sharing and data loss prevention

> Deployment on premises, hybrid or in the cloud (and via partners for managed or hosted solutions)

Data Management Solutions

> Data Backup

> Data Replication

> Data Archiving

> Hierarchical Storage Management

> File Sync & Share

> eDiscovery

> Data de-duplication

> Data compression

> Legal, compliance, governance policy

> Reporting

> On-premise and off-site data

> Cloud data (private, public or hybrid)

> Solutions for Mid to Enterprise size organisations

> Data storage system hardware

> Data management software

> Off-Site Data / Cloud / Hosted Managed Services:

- Private
- Public
- Hybrid
- Amazon Web Services (AWS)
- Microsoft Azure
- VMware vCloud

> Manage data on virtualised platforms:

- Microsoft Hyper-V
- VMware
- Citrix XenServer

> Microsoft Application Data Management:

- Microsoft Exchange
- Hyper-v
- SharePoint
- Azure

Data Backup
As the demand for data grows, IT organisations are faced with a growing list of serious data backup and recovery challenges - including shrinking backup windows, strict new requirements for data availability, and nearly exponential data growth. These challenges require a more optimised and integrated approach to computer disaster recovery that includes centralised management, automated backup processes, and the intelligent integration of different types of media, including disk and tape drives. 

Data management is paramount to ensuring storage efficiency and compliance. Archiving Email and file data can reclaim valuable storage and server resources. By compressing data and moving it to lower cost storage you can maximise your entire infrastructure investment.

Archiving tools also enable data retention policies to be realised and compliance regulations be achieved.

Storage resource management (SRM) or Information Life Cycle Management (ILM) 
Is the process of maximising the efficiency and speed with which the available drive space is utilised in a storage area network (SAN) or Network Attached Storage (NAS). Automating the process of managing where data resides can boost utilisation, and substantially reduce management and admin costs.
Data Life Cycle Management

Data Archiving
Growth of data and email is makes the cost hosting this data on your primary storage platforms an expensive exercise, along with compliance requirements for some industries to retain information, organisations are looking at ways to archive file and email data onto more cost effective storage platforms. It is possible to manage archived data, so that data can be indexed, stored, searched, accessed and when its not needed any longer, deleted.

Disk Management in hardware data storage systems
Optimise performance through tiered hybrid disk and flash – without I/O lag.

Data Compression

Compression reduces acquisition costs, power and cooling costs and rack space throughout the life of the system.

  • software compression
  • compression during replication
  • hardware compression

Oracle, Exchange, SQL Server, file systems and VMware datastores. 

Oracle cloning, protection, and recovery: reducing the bottleneck of time and complexity for DBAs and the storage administrators in their Oracle environments (Production, Development, Test, and Patch).

Data Storage Optimisation & Retention to Disk, Public Cloud or Tape Targets
Policy-based data retention optimal storage resource utilisation.

Data retention and secondary copy policies can be automated to ensure that data access, security and retention are set to optimise both SLA and resource expenditures.

Business critical data can be retained in a location and format that be rapidly and securely accessed by end users. At the same time, older less frequently accessed data can be defined to be automatically tiered to lower cost tiers of storage.

The hardware agnostic approach to data management gives users the ultimate flexibility in defining the appropriate location for storage – disk, tape or cloud-based storage targets. 

Data Loss Prevention
Monitor and prevent users from syncing sensitive work files from their desktop to their personal cloud storage solutions. 

Data Search & eDiscovery
Enable corporate policy for legal data retention within your storage, backup and archive environments: Tool enable you to respond to legal and eDiscovery requests.

> Insights into file type, size and age to make more informed business decisions regarding data and information management.

> Enterprise-grade security: data is encrypted at source, in transit and at rest.

> Index, catalogue and search your data, so that you can later easily search and retrieve data down to the file level.

Secure Multi Tenancy
  • Centrally manage and control data across multi-tenant deployments.
  • Data management tasks including job scheduling, snapshot protection, backup, archive, copy retention, content indexing, search and recovery / retrieval. 

Data Health Check Reporting