APAC CIOOutlook
About UsConferencePartner With Us
  • Technologies
    • Blockchain
      Data Intelligence and Management
      Digital Transformation
      FinTech
      Generative and Agentic AI
      Low Code No Code
      Mobile Application
      Networking
      Robotics
      Storage
      Wireless
  • Industries
    • Automotive
      Aviation
      Banking
      Construction
      E-Commerce
      Food and Beverages
      Healthcare
      Insurance
      Logistics
      Manufacturing
      Retail
      Supply Chain
      Travel and Hospitality
  • Platforms
    • Microsoft
      Salesforce
      SAP
  • Strategic Solutions
    • Business Intelligence
      Contact Center
      Corporate Finance
      CRM
      Cyber Security
      Data Center
      Enterprise Asset Management
      Enterprise Performance Management
      IT Infrastructure and Services
      Managed Services
      Procurement
      Unified Communication
      Workflow
  • Home
  • CXO Insights
  • Leadership Perspectives
  • Innovation Insights
  • Research
  • News
  • Whitepapers
  • CXO Awards
#

Apac CIOOutlook Weekly Brief

×

Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Apac CIOOutlook

Subscribe

loading

THANK YOU FOR SUBSCRIBING

A featured contribution from Leadership Perspectives: a curated forum reserved for leaders nominated by our subscribers and vetted by the Construction Tech Review Advisory Board.

Veeam Software

Raymond Goh, Head of Systems Engineering, Asia & Japan

Intelligent Data Management in the Era of Virtualization

Raymond Goh

Raymond Goh

Virtualization is increasingly becoming the norm for businesses all over the globe. Last year, the worldwide server virtualization market was an estimated SGD 5.09 billion while the market is expected to reach SGD 10.94 billion by 2022 .


The virtualization process is achieved through hypervisor software which is able to control the amount of access various operating systems (OS) have with the hardware resources. Organizations are able to partition a physical server into several virtual machines (VM), allowing for multiple OS to run while sharing the resources of a single physical computer.


The VM is completely mobile and can be effortlessly moved from one physical server to another, to a data center or even to a thumb drive. Users no longer require purchasing computers or hardware to run additional OS. The portability of such resources allows for multiple benefits. Employees are given access to the same working environment effortlessly, without missing out on specific software packages or IT settings. In the same manner, organizations can leverage these functions to shift around workloads as required—whether that is on-premises, in the hyper-public cloud, through a service provider, or an outright transition to a Software as a Service model—enabling more efficient processes.


However, it is imperative for organizations to understand that increased agility of data means that they now have the responsibility to better manage and protect it. Today’s data differs from yesterday’s data. Every process, whether an external client interaction or internal employee task, leaves a trail of data.
The growth of data has been and will continue to be incredible. Human and machine-generated data is growing ten times faster than traditional business data, and machine data is growing at 50 times that of traditional business data. Enterprises need to learn how to intelligently manage these vast amounts of data that can be analyzed and gleaned for insights.


Check Out: Top Master Data Management Solutions


Another crucial component of data management
for organizations is to ensure it is always available for consumers. The modern customer demands efficient and seamless service. They want digital transactions to always work as expected, and enterprises need to meet these demands to build confidence and trust. Hyper-Availability of data is the new expectation for both consumers and enterprises. The current state of availability for organizations is one in which data is manually relocated to optimize cost. While this method might be working now, the future of availability follows a more autonomous model where the system can self-direct and respond to significant changes in data across the enterprise.


For those looking to meet the expectations and future demands of Hyper-Availability, there are five stages of intelligent data management that businesses can follow— Backup, Aggregation, Visibility, Orchestration and Automation.


Backup


The first step in achieving the Hyper-Availability required for the future is to back up all workloads and ensure they are always recoverable in the event of outages, attack or theft.


Aggregation


Enterprises should ensure an aggregated view of service level compliance for protection and availability of data across multi-cloud environments.


Visibility


To improve management of data, unified visibility and control into usage, performance issues and operations are pertinent.


Orchestration


The next stage is orchestration, where organizations can seamlessly move data around to ensure business continuity, compliance, security and optimal use of resources.


Automation


When businesses successfully achieve and implement these four steps, data management becomes automated. Data grows to be self-managing, learning to back itself up, migrating to ideal locations based on business needs, and securing itself during anomalous activity for instantaneous recovery.


The growth of data is not stopping anytime soon, and the journey to reach Hyper-Availability is not one that can be completed in a single day. However, forward-thinking business leaders can turn this challenge into an opportunity.


The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.
The Leadership Perspectives forum brings together voices shaping construction technology and innovation. Participation is by invitation only. It features leaders who are not merely observing technological change, but actively contributing to it through digital transformation and execution-driven insights.
EDITOR'S CHOICE
  • Willis Towers Watson

    Just Group [GBX: JUST.L]

    Empowering Retail through Customer-First Technology Adoption Strategy

    Frank De Sa, Chief Information Officer

  • Willis Towers Watson

    ISS Facility Services Australia & New Zealand

    The Right Technology And Reliable Partners; The Business Next Frontier

    Luke O'Brien, CIO

  • Willis Towers Watson

    BPAY Group

    Building BPAY Group's New Digital Foundation

    Angela Donohoe, Chief Information Officer

  • Willis Towers Watson

    Bvn Architecture

    How Have Recent Advancements in Big Data Been Impacting Businesses?

    Marc Solomon, CIO

I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info

APAC CIOOutlook
Follow on LinkedIn

About

  • Home
  • About Us
  • Partner With Us

Stay Connected

  • Subscribe
  • Newsletter
  • Sitemap

Contact Us

  • editor@apacciooutlook.com
  • sales@apacciooutlook.com
  • marketing@apacciooutlook.com

Legal

  • Editorial Policy
  • Privacy Policy
  • Terms of Use

© 2026 APAC CIOOutlook. All rights reserved. Headquarteblue in Fort Lauderdale, FL, USA.

This content is copyright protected

However, if you would like to share the information in this article, you may use the link below:

https://data-intelligence-and-management.apacciooutlook.com/leadership-perspective/intelligent-data-management-in-the-era-of-virtualization-nwid-5708.html