Physical & Cloud #DataProtection: Best Practices for your #Backup and #RecoveryProcess

Data, one of the most valuable assets of organisations. Massive data is the new currency. Thanks to advancements in technology and connectivity, data creation is skyrocketing. According to IDC, Global DataSphere Forecast, 2021-2025, the global data creation and replication will experience a compound annual growth rate (CAGR) of 23% over the forecast period, leaping to 181 zettabytes in 2025. That’s up from 64.2 zettabytes of data in 2020 which, in turn, is a tenfold increase from the 6.5 zettabytes in 2012. These data are stored in ever-increasing environments and connected devices, therefore backup and restoring the capability of an information system is a real challenge to ensure business continuity and the availability of associated data.

Volume of data created and replicated worldwide

What must IT departments do to fulfill the data security mission? Well, the data security policy is at the heart of each business concern and should be a fundamental part of their security strategy. Planned security measures can then create tactical and operational rules through the joint efforts of security and storage teams. To this end, storage must be an integral part of the company’s security strategy.

 

To achieve these objectives, a company must establish a cluster around the following five essential aspects:
• Allocation of responsibilities;
• Risk Assessment;
• Development of a data protection procedure;
• Communication of data protection procedure;
• Execution and testing of the data protection procedure.

 

  1. Allocation of responsibilities

The goal is to make storage security a fully-fledged feature of the IT security architecture. Even if the company decides that the responsibility for backup or storage security rests within the storage team, it must nevertheless integrate any safety measures in this area with task to secure the rest of the infrastructure. This integration will contribute to the establishment of in-depth protection. It is also advisable to share responsibility for extremely sensitive data. It’s, therefore, better to ensure that the person authorizing access is not the same as the person responsible for enforcement.

 

  1. Assessment of storage risks in the area of ​​IT security

#Managers must review each step of their backup methodology to identify security vulnerabilities. Can an administrator secretly make copies of backup tapes? Are they stored in boxes accessible to everyone? Is there a rigorous end-to-end monitoring chain for backup tapes? If critical data is backed up and transported, vulnerabilities of this nature could make it easy prey. If the risk analysis reveals many vulnerabilities, the company must seriously question the encryption of its data.

 

  1. Development of an information protection program that guarantees the security of company data, at all times, wherever they are

Multi-level protection should be adopted by taking existing best practices for the data network in order to apply to the storage network, while adding specific layers adapted to the characteristics of the archived data, for example:

  • Authentication: application of multi-level authentication techniques and anti-spoofing (anti-identity or address spoofing).
    • Authorizations: access rights according to roles and responsibilities (as opposed to total administrative access).

It is imperative to duplicate backup tapes because it is never good to depend on a single copy of the data. Despite the longevity of the bands, they are still exposed to environmental and physical damage. A common practice is to perform nightly backups and then store these off-site tapes without any verification. Recommended best practices include duplicating backup tapes and then storing offsite copies.

Magnetic tapes remain the preferred storage mode for backups because they are economical and offer sufficient capacity to back up an entire operating system on a single cartridge. When stored properly, archival tapes have a lifetime of more than 30 years, making them an exceptionally reliable storage medium.

 

  1. Communication of the procedure to be applied with regard to the protection and security of information

Once the procedure for protecting and manipulating sensitive data has been defined, it is important to ensure that those responsible for their safety are informed and trained. Safety rules are the most important aspect of assigning responsibilities. Functional managers need to be aware of risks, countermeasures, and costs.

Data loss and intellectual property theft affect the entire enterprise, not just the IT department. As such, the Director of Security must undertake a data security approach by training the different functional frameworks in the risks, threats and potential harms arising from security breaches, as well as the cost of the various possible countermeasures in this area. In this way, company executives can raise awareness about the cost/benefit of investments in data security.

 

  1. Implementation and testing of Data Protection and Security Plan

Securing data is not about technology but about the procedure. This is why it is essential to test the procedure. In addition, as the growth of the company is accompanied by an evolution in security and data protection needs, IT security practices must also evolve. Once the complete security plan has been developed, defined, and communicated to the concerned team, only then it’s the right time to implement it. IT team must ensure the implementation of the tools, technologies, and methodologies necessary for the classification of information. New technologies may be required to classify information or label it with metadata so that it is backed up according to appropriate rules and procedures.

Once in place, the procedure must be tested, both concerning backup and restore. The test is to introduce, into the process, any possible and imaginable danger, whether it is the loss of a tape or a server, network problems, equipment or filing of data or any other scenario which could affect the company’s performance.

It is advisable to carry out tests with personnel who are less familiar with the procedure, to ensure that it can nevertheless be applied without difficulty in the absence of the usual supervisor (due to illness, holidays or departure).

IT Spending: Further increase in 2022

Worldwide IT spending is projected to increase by 4% from 2021, according to the latest forecast by Gartner, Inc. “Governments will continue to invest heavily in digital technologies. This includes investing in improving the customer and employee experience, strengthening analytical capabilities, and increasing operational agility.

 

Even though we are witnessing inflation, the Ukraine war, high gas + electricity prices, geopolitical disturbances, and currency fluctuations, none of this is being a reason for companies to cut back their IT spending. On the contrary, the Gartner market research institute is even assuming a renewed increase. It is expected that $4.4 trillion will be spent on IT globally in 2022, which would represent a growth of 4.4% year on year.

Worldwide IT Spending Forecast 2022

 

The corona pandemic has shown us that it is important to show a high degree of flexibility, especially in turbulent times. The rapid transition of jobs to the home office would not have been feasible at all without a solid investment in IT. The market researchers from Gartner assume that companies acknowledge that the way forward is by investing in tech, and therefore will invest additional available funds in their IT. Another HR survey from Gartner reveals that 41% of employees are likely to work remotely at least some of the time post covid pandemic.

Even if the investments run through all IT areas, Gartner assumes that software solutions ($675 billion, up 9.8% from 2021; ) and IT services (at $1.27 billion, up by almost 7%) are the two fastest-growing categories that will account for the largest share in 2022.

 

Another trend can be observed in 2022, when it comes to allocating the budget for IT, more companies are focusing on modernizing existing systems than looking toward new developments. Modernization in the IT area can be understood, for example, when legacy systems and traditional processes are shifted to a modern IT operating model. As aging legacy systems can be costly and slow the pace of change, organizations are implementing technologies that include lean processes and automation, which helps them improve workload placement, and eliminate unused or underused systems. Not renewing existing core applications, but modernizing them, not only represents a financial advantage for the company, it also has a positive effect on the environmental balance.

Cloud Computing: The emergence of Digitization in medium-sized companies

 

Firms of all sizes, across all sectors, and around the globe are increasingly filling digital adoption gaps and equipping their staff with digital tools. Even small and medium-sized companies, that use to see digitization as a burden have significantly increased their digital technologies’ adoption. Already in 2021, small businesses accelerated their digital investments so they could survive prolonged COVID-19 pandemic restrictions.  According to a new update to the International Data Corporation (IDC), the global spending on the digital transformation (DX) of business practices, products, and organizations is forecast to reach $1.8 trillion in 2022, an increase of 17.6% over 2021.

 

Digitization offers great advantages, such as the development of new business areas and larger, international customer bases by integrating into global markets. Provides better and quicker access to information, and communication between staff, suppliers, and networks Digitalisation also supports innovation, generates data, and analyzes their own operations in a new way & driving improved performance. According to IDC, at least 20 percent of small businesses globally will cease operations by 2025 if they don’t digitize fast enough.

 

At this point, SMEs must embark on digital transformation projects to accelerate their post-crisis recovery but also due to the emergence of a younger, more technologically perceptive generation.

The introduction of new technologies within companies must be done with well-thought planning. A digital project is time-consuming and requires appropriate skills and know-how. The growing numbers of digital companies show that the journey is worthwhile. Zoho, the Global tech company, therefore advises small and medium-sized businesses to take the following steps on their digitization agenda:

 

Don’t ignore the power of the cloud: The time to rely on classic IT infrastructures is over for cost reasons alone: ​​Clouds are significantly cheaper in terms of value for money than legacy systems in your own company. Mainly because companies don’t have to invest in their own server infrastructure. Also, organizations don’t need to worry about data storage and protection resources and costs as the cloud world offers extensive scalability. A scalable cloud can grow and manage the increasing demands of processing, along with ensuring that data, applications, and services are available at any time and from anywhere via the Internet and updates them in real-time. Digitization can simply not be achieved without implementing the cloud into your infrastructure.

 

Sustainable technologies: The pandemic has given medium-sized companies a boost in digitization: SMEs, like all other companies, have had to react to the imposed home office requirements. However, many companies have acted hastily when it comes to software and have opted for “short-term” digitalization aka temporary isolated solutions. In order to make their working models futuristic, they must think and adopt a long-term digitalization process in order to transform their business model from analog to digital. Instead of relying on/investing in short-term solutions, SMEs must understand and enable sustainable digitalization.

 

Focus on automation: Automation has already proven its benefits in previous technological revolutions. Automation reduces the number of process interruptions and usually leads to higher performance and a lower error rate. Automation thanks to digitization is possible in every SME and is also implemented continuously. Classic examples are approval and verification processes, which can be digitized from manual tasks to rule-based, program-controlled, and thus automatic tasks. SMEs that want to digitize are well-advised to find process interruptions and to determine the cost/benefit ratio of automation through digitization. Automation should be an ongoing task considering the ever-improving digital tools.

 

Digitization is reality. Of course, also in the SME sector. And it is a challenge since it can usually only be achieved through the cooperation of several companies, partners, and companies’ own workforce. Every SME can make rapid progress with the right digitization strategy. The experts at Xorlogics will be happy to support and guide you in your company’s digital transformation project!

Intelligent Process Automation: The stepping stone to Digital Transformation

To lead in today’s economy, organizations need to rethink the way their business operates. By integrating Intelligent Process Automation (IPA), they can optimize their business processes. These include robotic process automation, machine learning through artificial intelligence, and cognitive automation. Intelligent process automation also increases speed, productivity, and innovation within the company. Additionally, it lets you anticipate the future and adapt faster with smart intelligence.

 

People in many different industries have already been exposed to intelligent process automation in different areas, whether they are aware of it or not. For example, opening a bank account, chatting with a bot on a vendor’s website, or receiving various products or service offers without interacting with a human. The automation of processes not only reduces operating and product costs and errors, improve employee performance, attracts, and develops talent, improves sustainability, and modernizes and accelerates processes. Instead of the selective optimization of processes, the most extensive automation of entire process chains within organizations is stepping up increasingly. This is exactly where intelligent process automation of the entire value chain is required.

 

Leading companies are continuously looking for intelligent process automation use cases to address the more complicated challenges in the enterprise environment and derive real value from their data. The correct use of data analytics, robotic process automation (RPA), and artificial intelligence lead to an improved customer experience, more needs-based offers, and individually optimized pricing. This strengthens the relationship between existing customers and the organization. Therefore, this leads to more product sales. Optimized pricing based on data analysis and artificial intelligence also makes it easier to exploit pricing leeway and increase margins.

 

Process automation is not a new topic, but a lot has happened technologically in the past five years. For example, diverse types of bots are available today in robotic process automation (RPA). The global RPA market size was valued at $1.40 billion in 2019 and is expected to reach $11 billion by 2027, expanding at a CAGR of 34% from 2020 to 2027 (Grand View Research). The potential economic impact of knowledge work automation is expected to be $5-7 trillion by 2025. (Automation Anywhere)

 

Overall, process automation is being pushed further, not because of economic conditions led by covid in the organizations but because of the multiple advantages it has to offer. You might ask what helps these processes run smoothly? How were they designed to be efficient? How does workflow from one function to another without glitches? The answer to all these questions lies in understanding processes, breaking them down to the smallest task step, examining the interactive flow of information in each task, and analyzing the rules governing it. To improve a process, the organization must measure and critically evaluate the effectiveness of each process. A step-by-step approach has proven to be the best practice. Starting with the automation of a sub-area using RPA, the next step can be to focus on the entire process, the connected systems, and the relevant influencing factors. So-called workflow management systems, which can map a process as an interface between data management and human interaction, offer technical support here. This gives companies a detailed overview of where and when something is happening and where there is potential for automation.

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