Data drives business, and a report by Forrester® underpins this emerging reality. The report, in particular, highlights how organisations can use data as “the biggest source of competitive differentiation,” as it is a source of new value creation that can help companies increase their operational agility in response to ever-changing consumer needs and establish reliable digital ecosystems capable of generating new revenue streams for the organisation.
Along with data’s growing role in driving businesses worldwide are the concurrent challenges that come with the unabated increase of data being produced worldwide. In fact, data from Statista suggest that the amount of data the world creates and consumes will be growing exponentially, already reaching an all-time high of 64.2 zettabytes in 2020 due to the COVID-19 pandemic. This global health crisis spurred the shift to homeworking and online learning, accelerated the adoption of e-commerce and made digitalisation a necessity for businesses, and all these have resulted in more data creation all around the world.
By 2025, the amount of data the world will be creating and consuming is forecast to reach more than 180 zettabytes—an over 100% increase from 2020. Even more so, the larger Asia Pacific region is forecast to be an epicentre of data in the near future, with data gravity in the region expected to be among the highest in the world according to the recent Data Gravity Index. Data gravity refers to the state of attracting and producing so much data to the point that it becomes near impossible to move it. Of the 15 cities across the world expected to have the highest data gravity in the coming years, in fact, six are in the Asia Pacific (Singapore, Hong Kong, Tokyo, Beijing, Sydney and Seoul).
In other words, organisations in the region should expect voluminous amounts of data moving forward, and that would present quite a few challenges.
Data Security and Privacy: A Big Challenge
Foremost among these challenges is data security and privacy, with consumers now more than ever expecting companies to keep their data private and protected. Internal customers—employees, contractors and similar stakeholders—are expecting the same too, and are likely to be more engaged and productive if they think such high expectations are being met.
Needless to say, it pays to protect data and keep it private, as a data breach can cost a company USD $4.24 million—the highest in 17 years since IBM kept track—and lost trust and goodwill among internal and external customers. Lost trust and goodwill inevitably lead to lost business costs due to, among other things, increased customer turnover and the high cost that comes with having to acquire new business lost as a result of a diminished reputation and repairing it in the process.
Curiously, Southeast Asia is witnessing a marked increase in data breach incidents, due mainly to the faster pace of digitalisation as accelerated by the pandemic, the rise of homeworking and increasing adoption of cloud and other digital tools. A case in point is the Indonesian e-commerce site Tokopedia, which was victimised by the largest data breach in Indonesia thus far, with 91 million accounts containing personal data hacked. Two years ago, another major data breach occurred that shocked the region, this time in Singapore involving the personal details of 1.5 million patients of SingHealth, which owns several specialist outpatient clinics in the city-state.
A most recent and most high-profile incident occurred just last August, this time involving Tokio Marine, Japan’s largest property and casualty insurer. The company, which offers cyber insurance among many others, was victimised by ransomware, forcing it to isolate the affected network, hire an outside vendor for help, and notify local authorities. This attack is particularly alarming in light of cyber insurers probing prospective clients’ cybersecurity safeguards before giving coverage.
These three incidents, along with similar others, underpin the growing data protection problem in the region. They also underscore the need for better data protection and resiliency.
Next-Gen Approach to Data Protection and Resiliency
The solution is fairly straightforward: Deploy next-gen data management solutions—exactly the kind Cohesity offers. Cohesity’s next-gen data management delivers simplicity at scale, zero-trust security principles, Artificial Intelligence (AI)-powered insights, and third-party extensibility, and the interplay of these four unique elements enables Cohesity to address a range of data-related challenges, including keeping data safe and secure.
In other words, Cohesity is an all-in-one solution that will let you unlock infinite and maximum value from your data, reduce data infrastructure silos, and protect your data from ransomware and other cyber threats. It also guarantees resiliency, first with its fault-tolerant system specifically engineered to ensure data integrity regardless of condition, whether in full compute, memory, or storage capacity failure; network congestion or hardware failures.
AI and Zero-Trust: A Potent One-Two for Data Protection and Resiliency
Cohesity’s zero-trust approach and AI-driven smart capabilities are also critical to ensuring resiliency, which at its core is about protecting your primary services and preventing problems in the first place. Together, these two unique elements work hand-in-hand to protect your data in the best possible way and keep your business running—but with little to no downtime.
Zero-Trust security, in particular, helps your organisation keep its reputation and your business running with security anchored on the principles of least privilege and segregation of duties, both for managing the data and administering the platform and a holistic approach to threat detection and rapid recovery. Under the former is a range of cybersecurity features that include user and API access authentication and authorisation, multifactor authentication, rich authorisation capabilities, granular access and data encryption.
The latter, on the other hand, utilises AI-based techniques, IMR at scale, automated DR/failover to cloud and air gapping, among other features. This holistic approach specifically collects data signals interpreted using AI techniques and automatically engages the right people afterwards.
Cohesity’s AI capabilities, meanwhile, improve organisational decision making and helps you act faster. In particular, you can use AI-based ransomware and threat detection to automatically scan and counter cybercrime in near real-time and leverage AI-powered recommendations to reduce cost and improve performance.
Cohesity at Work
The best endorsement of something that works is real-life proof that it works. That much is true with Cohesity, which is among the digital solutions employed by global brand Novartis. The challenge for Novartis IT was mainly fourfold: stay abreast with rapid development, leverage the cloud more despite unresponsive legacy solutions, respond quickly to both ransomware attacks and business disruptions and embrace AWS without adding more complexity.
So, Novartis deployed Cohesity for backup and recovery with automated replication and archiving to Amazon S3, thereby reducing manual administration and effort. In particular, Novartis is now benefiting from proactive anomaly detection and ransomware protection, 3PB global backup, high availability through replication, rapid recovery from ransomware and 50% lower costs.
Sky Lakes Medical Centre had similar problems as Novartis, if not worse, as it relied mainly on outdated yet costly solutions for backup and recovery. Worse, Sky Lakes was struggling with unstructured data management and disaster recovery that were taxing their lean IT staff. Compounding matters was the hospital’s heavy reliance on medical records, which means data protection and compliance are a premium.
Enter Cohesity, which Sky Lakes implemented for multiple aspects of data management, including backup, disaster recovery, file and object services and archiving of radiology images. Now, it is reaping the many benefits of using Cohesity, which include replacing legacy backups, eliminating tape and costly primary storage for radiology imaging archives, using bi-directional replication to mirror sites for disaster recovery, and using Insight, Runbook and Reporting apps. Perhaps most important of all, Sky Lakes was able to rapidly address a ransomware attack without paying a ransom and without losing any data.
Auto retailer AutoNation, meanwhile, wanted its data to do more for the company and for it to be accessible to app developers. It also desired performance, ease of use, lower total cost of ownership and seamless two-way integration with AWS. Unfortunately, AutoNation had storage appliances that could not scale, backup solutions that failed some 6,000 times a month and IT costs that were rising exponentially.
In short, AutoNation needed next-gen data management, and that is precisely what Cohesity is giving to the company now. Among other things, Cohesity has reduced backup windows by 50% and job failures by a factor of 20, offloaded expensive storage, saved AutoNation 60% per terabyte of data, provided direct app developer access to data and enabled disaster recovery through cloud/DC replication.
Resiliency Over Recovery
While disaster recovery remains critical, organisations nowadays need to prioritise resiliency more and more, as the use cases discussed prove. That’s mainly due to consumers now demanding 24/7 online access and services. In other words, your company can ill afford any downtime as it can mean the difference between winning over customers and losing business.
So, as you plot out your data management, protection and resiliency plan moving forward, make sure you deploy next-gen solutions, like Cohesity.