Cloud Data Management & Governance with Infonomics

Optimize Data Governance and Security with HCLTech Infonomics in Hybrid Cloud/Multi cloud Environments

In the era of digitalization, organizations grapple with unprecedented data growth, facing external challenges like cybersecurity threats and stringent regulations, along with internal hurdles such as exponential data growth and outdated practices. HCLTech Infonomics, a data management service, provides a comprehensive solution. It integrates smart data management practices, effectively addressing both external and internal challenges, enabling enterprises to extract maximum value from their data and protect it amidst a complex digital landscape and cyber threats.

Benefits

End-to-end solution with a vendor-neutral approach

Best fit solutions based on your requirements and industry best practices to manage and protect the data in partnership with industry-leading OEMs

Expedited backup performance

Modernize backup infrastructure to ensure backups complete well within the stipulated window

Simplified management

Single pane of glass and use of advanced technologies and streamlined processes to make data management more effective, efficient and user-friendly and provide seamless visibility

Lower TCO

Flexible commercial models with smartly developed business cases and overall cost reduction

Seamless scalability

Data management solutions enabled by hybrid and multicloud platforms with unified management and control

Enhanced SLA and compliance management

Automated failover/failback to cloud, secondary site for critical applications

No-vendor lock-in

Run all frameworks on containers and ensure no vendor lock-in with our hybrid and multicloud solutions

HCLTech IPs and accelerators for faster outcomes

24x7 support

Top-notch support through our end-to-end managed services

How We Are Different

Preferred partner status conferred by

OEMs such as Rubrik, Commvault, Cohesity, DELLEMC, IBM, NetApp, HPE and cloud-first partners (hyperscalers) such as AWS, Azure and GCP

Over 5k+ trained and certified resources

Resources trained on diversified storage and backup solutions across heterogeneous platforms (public/private/hybrid deployments)

Inhouse labs

Validate and test drive the latest data life cycle management solutions for both hybrid cloud and multicloud scenarios before deployment

In built automation

For better resource management and proactive alerts

Utility-based model

Avoid both vendor lock-in and financial risk across platforms (public/private/hybrid cloud)

One-stop solution

Delivering end-to-end managed services to enterprises covering consulting, build, migration and operations

On-boarded and partnered

Client across heterogeneous verticals such as finance and healthcare as part of the cloud-first journey

In-house custom framework

To help formulate a cost-effective data management strategy leveraging hybrid/multicloud deployments

We Offer

VisualizeNXT

A dark data assessment service that offers rich insights into vast-spread unstructured data classification, file content, access and permissions and sensitive data sprawl

File analytics supports
Dark data discovery
Sensitive data identification
Integrated data classification
Policy - based decision-making
Storage optimization

ArchiveNXT

A managed archival service powered by advanced file analytics, offering multi-tier data classification based on criticality and activity

File data archival
Flexibility to choose an archival tier
Tape data transformation services cater to challenges around tape environments

BackupNXT

A next-generation backup solution for data residing across heterogeneous storage platforms hosted in data centers, remote sites or cloud platforms. Prominent features include:

Tailored solution to fit client requirements
Modern workload coverage across IaaS, SaaS and PaaS and endpoints
Multi cloud and hybrid cloud backup
Flexible deployment plans
In-built automation

RecoverNXT

A fully automated disaster recovery service that supports near-zero data loss for physical and virtual workloads running on-premises, on the cloud or in a hybrid cloud model: