Sheena Chin, Country Manager for Singapore, Veritas
Data&StorageAsean: What are the benefits of cloud storage and how does cloud storage increase the IT capabilities of an enterprise/organisation?
Sheena: With almost every organization undergoing some form of digital transformation, we see that more workloads are being shifted to the cloud. The success of enterprises’ IT capabilities rely heavily on its data management strategy and how data is being stored in the cloud to ensure it keeps up with the amount of data being generated.
Cloud storage offers a range of new possibilities, including remote collaboration where employees could have access to data without the need to be on-premises. The scalability that cloud storage services bring can also help organizations increase their IT capabilities in various ways – from providing quicker data recovery, improved data portability to full data visibility. What’s important is – today, many enterprises understand the value of using the cloud to increase agility. At the same time, cloud storage has helped organizations to use the cloud as a recovery target, increasing disaster recovery readiness and reducing the cost and complexity associated with on-premises facilities.
The focus today is no longer on the benefits of cloud storage for IT capabilities within the organization. Rather, it is about how enterprises and customers today are accelerating their migration to the cloud and streamlining resources to manage data in the cloud.
Data&StorageAsean: How has cloud storage technology improved over the years?
Sheena: Cloud storage technologies has come a long way from where it first began. With the exponential growth of data, cloud storage technologies have evolved to cater for massive scalability. These improved cloud storage technologies enable organizations to scale their data storage to petabytes, allowing the storage of billions of files with the ability to handle quintillion number of objects.
Another improvement made to cloud storage lies in intelligent data management. Organizations managing large quantities of unstructured data can now look forward to applying analytics, machine learning and classification technologies – making their storage “smart”.
Also, with the advent of new laws such as the General Data Protection Regulation (GDPR), cloud storage providers need to prioritize their efforts to ensure that organizations are able to meet such regulations with improved data visibility in the cloud. This means ensuring its data being stored in the cloud meets local regulations, with a strong data management strategy to complement improved cloud storage technology. With increasing data residency laws such as the “right to be forgotten” as part of the GDPR, enterprises will need to adopt an agile modern data management infrastructure to adapt to the increasingly challenging regulatory landscape.
Data&StorageAsean: Is security still a major concern when it comes to cloud storage? Is the concern justified?
Sheena: Yes, security remains one of the top concerns. Cyber threats are constantly evolving and it is critical for enterprises to stay vigilant and adopt good data hygiene to minimize the cyber security risks. It is no surprise that security concerns related to cloud, data management or threat intelligence are being discussed in the boardroom. With more and more data being stored in the cloud, enterprises must remain mindful that the ultimate responsibility for data management lies with them, and not any of the cloud providers.
For instance, if we look at the immediate future, the upcoming General Data Protection Regulation (GDPR) will put in place stringent protection around personal data where it can only be gathered legally under strict conditions, for a legitimate purpose. Businesses will also have to respect certain rights of the data owners which are guaranteed by EU law.
With this ruling coming into force next year, it is alarming that less than one-third of the organizations globally meet the minimum GDPR requirements to date.
Data&StorageAsean: Is cloud storage/backup still the top use case or main driver for cloud adoption?
Sheena: With nearly three-quarters of enterprises indicating that they would continue to adopt multiple private and public cloud strategies in a recent survey commissioned by Veritas, it is clear that cloud adoption is no longer optional for organizations, both large and small, looking to remain competitive.
Cloud storage/backup remains an important driver for cloud adoption. Data is growing relentlessly and businesses need to have the ability to use cloud as a recovery target, increase disaster recovery readiness while optimizing cost of storage. Apart from cloud storage, the need to enhance efficiency through cloud technology, such as streamlining processes to meet customers’ requirements faster, and improving IT agility to be more responsive to business needs and market changes, are also top drivers for cloud adoption.
Data&StorageAsean: What is unique about your company's cloud storage offering(s)?
Sheena: Enterprises today are looking for innovative ways to cut costs, become more agile, and be more responsive to the business while remaining compliant with regulations.
What makes Veritas unique is our ability to provide a unified 360 data management offerings across multi-cloud, virtual and physical environments. At our core, we are technology agnostic. We have formed extensive alliances with various cloud service providers to enable our customers to successfully embrace and take advantage of the multi-cloud world, while remain in control of their data through the Veritas 360 data management platform, without any vendor lock-in.
For instance, the latest Veritas NetBackup 8.1 will introduce powerful new deduplication technology that allows backups to be executed at an incredibly fast speed across hybrid, private or public clouds. Veritas Cloud Storage - our new software-defined storage solution –bring a new level of intelligence to storing and managing massive amounts of unstructured data in a cost-effective manner. This storage solution enables customers to apply analytics, machine learning and classification technologies to deliver better business outcomes and customer experiences. Enterprises can use data intelligence to fuel their business and ensure compliance in an automated and systematic way, while extracting value from their most critical asset – data.