EDITOR’S COMMENT
CLAUDE SCHUCK, REGIONAL MANAGER FOR ME AND
CENTRAL AFRICA AT VEEAM
T
oday’s businesses face the dual challenges of
not only managing and mining the data they
produce and use, but also ensuring that the digital
experience generated using the data is always-on for
both internal and external customers. Business leaders
need a deeper understanding of how data is changing
and how new technologies and approaches can unleash
its full value.
The criticality of data – Ensuring data is secure,
protected and in compliance is increasingly a mission-
critical ask for business outcomes
The growth of data – The sheer amount of data, its
rapid growth, changes and related costs of managing
it, is a huge challenge
The sprawl of data – Data is generated from a wider
variety of sources than ever before. Managing and
mining this data is an increasing challenge
Data must move to a new state of intelligence,
automatically able to anticipate need and meet demand
securely across multi-cloud infrastructures to meet
expectations of the mobile, always-on world. To achieve
this, Veeam has introduced the ‘five stages of intelligent
data management’:
Stage one: Back up – Back up all workloads and ensure
they are always recoverable in the event of outages,
attack, loss, or theft.
Provide for the security of data from a systemic
perspective; secure, back up and recover your data
wherever it is so it can always be protected against
outages, attack, loss or theft. This stage is about making
sure you can revive your data if it is lost or compromised.
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MANAGING DATA
INTELLIGENTLY
TO ACHIEVE
OPTIMUM
BUSINESS
PERFORMANCE
Stage two:
Aggregation –
Ensure protection
and availability of
data across multi-
cloud environments
to drive digital
services and ensure
an aggregated view
of service-level
compliance.
Aggregate data
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physical, virtual and
cloud workloads
so that you have central management across various data locations,
enabling multi-cloud use cases. This stage allows instant access to
any data, any app, anywhere to drive recovery, analytics, application
development and uninterrupted digital services.
Stage three: Visibility – Improve management of data across multi-
cloud environments with clear, unified visibility and control into
usage, performance issues and operations.
Gain full operational insight into data along with the ability to
glean business insights from data to drive better business decisions
and outcomes. This stage provides a ‘single pane of glass’ so that a
full view of one’s environment allows data management to evolve
from a reactive measure, focused on remediating issues that have
already occurred, to a proactive measure, preventing any loss in data
availability through advanced monitoring, resource optimisation,
capacity planning and built-in intelligence.
Stage four: Orchestration – Seamlessly move data to the best
location across multi-cloud environments to ensure business
continuity, compliance, security and optimal use of resources.
Ensure that data is always on the right infrastructure, always
protected, always ready to perform. This stage delivers orchestration
capabilities so that workloads can move more easily from one
infrastructure to another, providing business continuity and resource
optimisation via automation informed by policies.
Stage five: Automation – Data becomes self-managing by learning
to back itself up, migrate to ideal locations, secure itself during
anomalous activity and recover instantaneously.
Data becomes intelligent, location-aware and self-managing.
It can make itself easier to access, back up, recover and use; can
interact with and optimise the infrastructure on which it resides
and through which it moves to meet its obligations to the business.
And it can react automatically to anomalous behaviour in the
system. At stage five, you achieve true intelligent data management
in your business.