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#ITSM: 2024 Top Trends in IT Service Management

With advancing digitalization and the dynamic landscape, the requirements for IT service management (ITSM) are changing. In 2024 also, it’ll continue to evolve to meet the changing demands of the digital landscape. At the same time, companies are under increasing pressure from global challenges such as supply chain problems, inflation, and recession. To increase the productivity of their IT departments, companies need solutions that can optimize processes with the help of AI & ML. Here are some trends and requirements you can expect:

IT SERVICE management trends 2023

 

    • Automation and Artificial Intelligence (AI): Automation will play a significant role in ITSM, enabling faster incident resolution, proactive problem management, and streamlined processes. The Europe AI market size was valued at USD 33.65 Billion in 2022 and is expected to reach USD 325.29 Billion by 2032. AI-powered chatbots and virtual assistants will become more common, providing self-service options and improving user experience & support. ChatGPT is the biggest trend of this example. If answers to a problem exist in the database, a large proportion of service requests can be answered automatically using AI. The user usually receives a solution immediately via the self-service portal, leading to increased user satisfaction and employee loyalty.

 

    • DevOps Integration: Collaboration between ITSM and DevOps is becoming more critical. ITSM processes will align with DevOps practices, emphasizing collaboration, continuous delivery, streamlined processes, and rapid deployments. This integration will require ITSM professionals to adapt their skills and work in a more agile environment by improving overall communication and enhancing the overall efficiency of IT service delivery.

 

    • Cloud Service Management: In general, cloud use continues to be a trend primarily due to the continuously improved offers and also because the legal and regulatory framework is no longer as complex as it used to be. As cloud adoption continues to grow, organizations will need ITSM frameworks specifically designed for managing cloud-based services. This includes managing infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) offerings and ensuring security.

 

    • Security and Compliance: With increasing cybersecurity threats, ITSM will need to prioritize security and compliance. This includes implementing robust security measures, conducting regular audits, and ensuring compliance with industry regulations like GDPR and CCPA.

 

    • User Experience Focus: ITSM will shift its focus to improving user experience by providing intuitive self-service portals, quick response times, and personalized support. Customer satisfaction and feedback will be crucial for evaluating the effectiveness of ITSM processes.

 

    • Data-Driven Decision Making: ITSM will rely more on data analytics to make informed decisions. By leveraging data from various sources like incident records, service request patterns, and user feedback, organizations can identify trends, predict issues, and continuously improve their ITSM practices.

 

    • Service Integration and Management (SIAM): As organizations increasingly rely on multiple suppliers and vendors, implementing effective SIAM practices will become crucial. SIAM helps orchestrate and manage services delivered by various vendors, ensuring seamless integration and efficient service delivery.

AI, improving the digital employee experience and desktop as a service, new technologies, and usage models are changing IT service management in companies. To keep up with these trends and requirements, ITSM professionals should focus on developing skills in automation, AI, DevOps, cloud management, security, data analytics, and SIAM. It is also important to stay updated with industry best practices and certifications such as ITIL 4 (Information Technology Infrastructure Library) and COBIT (Control Objectives for Information and Related Technologies).

Best strategies for Cloud Cost Optimization

Cloud services have revolutionized how organizations store, manage, and access their data, offering unparalleled flexibility and scalability. However, as with any resource, it’s essential to optimize costs and maximize savings in this virtual realm. A cloud cost-saving strategy involves optimizing the usage of cloud computing resources to reduce overall cloud expenses while maintaining or even improving operational efficiency and performance.

 

When it comes to cloud costs, there are several components that need to be understood in order to effectively manage and save money. One key component is the cost of computing resources, which includes virtual machines, storage, and networking. These costs can vary depending on factors such as usage patterns, data transfer rates, and storage capacity.

 

Another important factor in cloud costs is data transfer fees. Transferring data between different regions or zones within a cloud provider’s infrastructure can incur additional charges. It’s essential to have a clear understanding of how these fees are calculated and consider strategies such as optimizing data placement to minimize these costs.

 

Additionally, many cloud providers charge for outbound bandwidth usage. This means that any traffic leaving your cloud environment will be subject to additional fees. By monitoring and analyzing your outbound traffic patterns, you can identify opportunities for optimization and potential cost savings.

 

One often overlooked aspect of cloud costs is idle resources. It’s not uncommon for organizations to provision more resources than they actually need or forget about those no longer in use. By regularly reviewing your resource utilization and implementing automation tools like auto-scaling or scheduling shutdowns during off-peak hours, you can reduce waste and optimize spending.

 

Licensing plays a crucial role in determining overall cloud costs. Some software licenses may require additional fees when deployed in a virtualized environment or across multiple instances within the same region. Understanding these licensing implications upfront can help avoid unexpected expenses down the line.

Develop a Cloud Cost-Saving Strategy

 

When it comes to managing cloud costs, having a well-defined strategy in place is essential. A cloud cost-saving strategy should not only focus on reducing expenses but also ensure optimal resource utilization and performance.

 

The first step in developing your strategy is to understand your current cloud spend and identify areas of potential optimization. This can be done by analyzing usage patterns, identifying idle resources, and evaluating the performance of different service tiers or instance types. Once you have identified areas for improvement, it’s important to set clear goals for cost reduction. These goals should be specific, measurable, achievable, relevant, and time-bound (SMART). For example, you might aim to reduce overall cloud costs by 20% within six months.

 

Next, consider leveraging automation tools to streamline cost optimization processes. These tools can help automate tasks such as scheduling instances based on workload demands or rightsizing resources based on actual usage data. By automating these processes, you can free up valuable time and resources while ensuring cost savings are consistently achieved.

 

Implementing best practices for cloud cost management is another key aspect of your strategy. This may include regularly monitoring and optimizing storage costs by deleting unused data or implementing lifecycle policies. It could also involve leveraging spot instances or reserved capacity options when appropriate to take advantage of discounted pricing models.

 

To further enhance your approach to cloud cost-saving strategies implementation:

  • Track and analyze spending trends over time
  • Implement tagging mechanisms for better visibility into resource allocation
  • Set up cloud monitoring and alerting to track resource utilization and costs in real time.
  • Assign meaningful tags to resources and use cost allocation tools to track spending by team, project, or department. This helps identify areas where cost optimization is needed.
  • Choose the most cost-effective region and availability zone for your workload. Leverage multi-region redundancy only when necessary for high availability.
  • Regularly review your cloud bills from various providers, analyze usage patterns, and forecast future costs to make informed decisions
  • Evaluate the use of specialized third-party tools that offer more granular insights into spending patterns
  • Ensure your team is knowledgeable about cloud cost management best practices. Training and awareness can go a long way in reducing wasteful spending.
  • Cloud cost optimization is an ongoing process. Continuously monitor and refine your strategies based on changing business needs and technology advancements.

 

Implementing a successful cost-saving strategy in the cloud requires a combination of monitoring, automation, and a commitment to optimizing resources. By developing a comprehensive cloud cost-saving strategy that encompasses all these elements – understanding current costs; setting SMART goals; utilizing automation tools; and implementing best practices – businesses can achieve significant savings while maintaining operational efficiency in their cloud environments.

Endpoint Management Solution in Cloud: Simplifying IT Operations

In today’s fast-paced digital landscape, technology is evolving at an unprecedented pace. As businesses rely more and more on digital infrastructure, managing endpoints – such as desktops, laptops, mobile devices, and servers – becomes a daunting task for IT teams. Note that it’s a critical aspect of ensuring seamless business operations. More and more organizations are transitioning to cloud-based solutions for endpoint management. This shift not only offers enhanced flexibility and scalability but also streamlines IT operations for businesses of all sizes. Let’s explore their benefits, key features, and why they have become a necessity for modern businesses.

 

What is an Endpoint Management Solution?

An Endpoint Management Solution is a comprehensive software solution designed to centralize and streamline the management of all endpoints within an organization’s network. It empowers IT teams to efficiently monitor, control, secure, and update various devices from a single dashboard. Traditional endpoint management approaches often required on-premises infrastructure, which could be complex, costly, and inflexible. However, the emergence of cloud technology has revolutionized this field, providing organizations with a more streamlined and efficient way to manage their endpoints.

They also play a vital role in enforcing security policies across all devices. These solutions enable administrators to set up access controls for sensitive data or applications based on user roles or groups. Additionally, they ensure that all endpoints have up-to-date antivirus definitions and firewalls activated to prevent potential threats from infiltrating the network.

All-inclusive Security Approach for Next-Gen Endpoint Terminals

Key Benefits of Cloud-Based Endpoint Management Solutions

Cloud-based endpoint management solutions bring a plethora of advantages to the table. These solutions leverage the power of cloud computing to centralize management tasks, automate routine processes, and provide real-time visibility into the entire network of devices. This results in improved security, simplified troubleshooting, and reduced operational overhead.

 

  • Enhanced Flexibility and Scalability: Cloud-based solutions offer unparalleled flexibility and scalability. Organizations can effortlessly scale their endpoint management infrastructure up or down based on their needs, without the need for significant hardware investments. This agility allows businesses to adapt to changes quickly, ensuring their IT operations remain efficient even as they grow.
  • Simplified Deployment and Updates: Traditional endpoint management often involved lengthy deployment processes and manual updates. Cloud-based solutions simplify this by enabling remote deployment and seamless updates across all devices. This ensures that the latest security patches and software updates are applied consistently, reducing vulnerabilities and enhancing overall network security.
  • Centralized Management and Automation: Cloud-based endpoint management centralizes control, allowing IT administrators to manage and monitor all devices from a single dashboard. Automation features further enhance this process by automating routine tasks such as software installations, configuration changes, and security updates. This not only saves time but also reduces the risk of human errors.
  • Real-time Monitoring and Security: One of the cornerstones of effective endpoint management is real-time monitoring and security. Cloud-based solutions offer continuous monitoring of devices, detecting and mitigating potential threats promptly. This proactive approach helps prevent security breaches and ensures compliance with industry regulations.
  • Cost Efficiency: Cloud-based solutions eliminate the need for extensive on-premises hardware, reducing capital expenditures. Instead, businesses pay for the resources they use on a subscription basis. This cost-efficient model makes endpoint management accessible to organizations of all sizes, leveling the playing field and allowing even small businesses to benefit from advanced IT management capabilities.
How can an Endpoint Management Solution help simplify IT operations?

Cloud-based endpoint management solutions have emerged as a game-changer for businesses seeking efficient IT operations. An Endpoint Management Solution continuously simplifies IT operations by providing a centralized platform for managing and securing all endpoints within an organization. With benefits ranging from enhanced flexibility and scalability to centralized management and improved security, these solutions empower organizations to navigate the complexities of endpoint management seamlessly.

 

It’s also helping streamline the deployment and configuration of software applications across all endpoints. Administrators can remotely install or update software on multiple devices simultaneously, saving time and effort. A comprehensive monitoring capability is enabling administrators to track the health and performance of endpoints in real time. This allows them to identify issues proactively before they escalate into major problems that could disrupt business operations.

 

Furthermore, these solutions also provide remote troubleshooting capabilities which reduce the need for physical intervention on each device. Administrators can remotely diagnose and resolve issues without disrupting end-users productivity. Moreover, an Endpoint Management Solution facilitates patch management by automating the process of deploying patches across all endpoints in a timely manner. This helps organizations stay protected against vulnerabilities and ensures software compliance.

 

With features like inventory management and asset tracking, administrators have full visibility into their endpoint landscape which makes it easier to manage hardware assets efficiently. In conclusion, an Endpoint Management Solution simplifies IT operations by centralizing control over endpoint devices through efficient software deployment & configuration processes along with proactive monitoring & troubleshooting capabilities.

The biggest challenges of BigData in 2023

The use of big data is on the rise, with organizations investing heavily in big data analytics and technology to gain insights and improve business performance. With the rapid growth of the internet, social media, and the IoT, the amount of data being generated is increasing exponentially. As a result, there is a need for better tools and techniques to collect, store, analyze, and extract insights from this data.

 

Additionally, the growth of the global datasphere and the projected increase in the size of the big data market suggest that big data will continue to be a critical driver of innovation and growth across various industries. In a study by Accenture, 79% of executives reported that companies that do not embrace big data will lose their competitive position and could face extinction.

 

Advancements in big data technologies such as machine learning, artificial intelligence, and natural language processing are also foreseen. These technologies have the goal to enable businesses and organizations to make better decisions, gain a competitive advantage, and improve customer experiences.

Xorlogics participating Cebit 2016

Here are a few examples of how big data is being effectively used in various industries:

 

  • Healthcare: Big data is being used to improve patient care, disease diagnosis, and treatment outcomes. For instance, healthcare providers can analyze electronic health records to identify patterns and trends that may help diagnose diseases earlier and predict patient outcomes. Additionally, big data analytics can help hospitals and healthcare organizations optimize their operations, such as reducing wait times and improving patient flow.
  • Finance: Big data is being used to identify and prevent fraud, assess risk, and personalize financial products and services. For instance, financial institutions can use big data to analyze customer behavior and preferences, in order to develop personalized marketing campaigns and offers. Additionally, big data analytics can help banks and other financial organizations to detect fraudulent activity and reduce the risk of financial crime.
  • Retail: Big data is being used to personalize the shopping experience, optimize inventory management, and improve customer loyalty. For instance, retailers can use big data to analyze customer behavior and preferences, in order to develop targeted marketing campaigns and personalized recommendations. Additionally, big data analytics can help retailers to optimize their inventory levels, reduce waste, and improve supply chain efficiency.
  • Manufacturing: Big data is being used to optimize production processes, reduce downtime, and improve quality control. For instance, manufacturers can use big data to monitor equipment performance and predict maintenance needs, in order to reduce downtime and optimize production schedules. Additionally, big data analytics can help manufacturers to identify quality issues early, reducing waste and improving product quality.
  • Transportation: Big data is being used to optimize transportation networks, reduce congestion, and improve safety. For instance, transportation companies can use big data to analyze traffic patterns and optimize routes, reducing travel time and congestion. Additionally, big data analytics can help transportation companies to monitor vehicle performance and identify potential safety issues, reducing accidents and improving overall safety.

 

Generally, big data is being effectively used across a range of industries to drive innovation and create value, improve operational efficiency, reduce costs, and improve customer satisfaction. Along with the benefits of Bigdata, it’s challenges cannot be ignored. Here below are few potential challenges that bigdata may face in the future:

 

  • Data Privacy and Security: As the amount of data collected and stored increases, so does the risk of data breaches and cyber-attacks. Protecting sensitive information will be critical, particularly as more businesses move towards storing their data in the cloud.
  • Data Quality: As the volume of data grows, so does the risk of inaccuracies and inconsistencies in the data. Ensuring data quality and accuracy will become increasingly challenging, particularly as the data comes from a wide range of sources.
  • Data Management: Managing large amounts of data can be complex and costly. Businesses will need to invest in tools and technologies to help manage and process the data effectively.
  • Talent Shortage: The demand for skilled data professionals is growing rapidly, and there may be a shortage of qualified individuals with the necessary skills to analyze and interpret big data.
  • Data Integration: With data coming from various sources, integrating, and combining the data can be a challenging process. This could lead to delays in data processing and analysis.
  • Ethical Use of Data: As the amount of data collected grows, it becomes increasingly important to ensure that it is used ethically and responsibly. This includes addressing issues related to bias, fairness, and transparency.
  • Scalability: As the volume of data continues to grow, businesses will need to ensure that their infrastructure and systems can scale to accommodate the increased data load.

 

Overall, these challenges could impact the effective use of big data in various industries, including healthcare, finance, retail, and others. Addressing these challenges will require ongoing investment in technologies and skills, as well as a commitment to ethical and responsible use of data.

 

If you are looking for a partner who can give you both strategic and technical advice on everything to do with the cloud, than contact us so we can talk about your cloud project and evaluate the most suitable solution for your business.

How Technology can Enhance and Elevate Business & Employee Performance?

Technology has been advancing at an ever-increasing rate over the past few decades, and it has had a profound impact on how we live our lives. It’s no wonder, then, that technology is also having a huge impact on performance and enhancingperformance in both individuals and teams. Nowadays, the high level of performance is achieved by automating repetitive tasks, providing real-time feedback and analysis, facilitating communication and collaboration, enabling remote work, increasing efficiency and accuracy, and providing access to a wealth of information and resources. Additionally, emerging technologies such as artificial intelligence and machine learning are continuously helping to optimize and streamline complex processes & operations and decision-making leading to better outcomes and increased productivity within companies.

 

Below are the most common technologies that are used to enhance business performance, including:

 

  • Cloud computing: Provides access to on-demand computing resources, allowing businesses to scale up or down quickly, reduce costs, and increase flexibility.
  • Big data analytics: Is helping businesses make more informed decisions by analyzing large data sets to identify trends and patterns.
  • Artificial intelligence and machine learning: Helping business to automate routine tasks, make predictions, and optimize processes to improve efficiency and productivity. If integrated correctly, AI and AL can play a significant role in performance enhancement by analyzing vast amounts of data to identify patterns and insights to make predictions that humans may not be able to detect. For example, AI and ML can be used to optimize manufacturing processes, predict equipment failures, and analyze customer behavior to improve marketing strategies.
  • Internet of Things: These technologies are used to collect and analyze data from connected devices, providing insights into performance and enabling proactive maintenance.
  • Customer relationship management software: CRM software can help businesses manage customer interactions, improve customer service, and identify new opportunities for growth.
  • Collaboration and communication tools: These tools can help teams work together more effectively, whether they are in the same office or working remotely.

By leveraging these technologies, businesses can streamline processes, increase efficiency, and gain a competitive edge, resulting in increased revenue, profitability, and customer satisfaction.

How Technology can Enhancing and Elevate Business & Employee Performance?

Let’s now have a look on the most common technologies that are used to boost employee performance, these include:

 

  • Performance management software: This type of software can help track employee progress, set goals, and provide feedback and coaching to improve performance.
  • Learning management systems: These systems can help employees acquire new skills and knowledge through online courses, webinars, and other forms of e-learning.
  • Employee engagement platforms: These platforms can provide a forum for employee feedback, recognition, and collaboration, helping to increase employee motivation and satisfaction.
  • Data analytics and reporting tools: These tools can help managers track key performance metrics, identify areas for improvement, and make data-driven decisions.
  • Collaboration and communication tools: These tools can enable employees to work together more effectively, whether they are in the same office or working remotely.
  • Personal productivity tools: These tools can help employees manage their time and tasks more efficiently, reducing stress and improving work-life balance.

By leveraging these technologies, organizations can create a more engaging, productive, and efficient work environment, resulting in higher employee satisfaction, retention, and overall business performance.

Serverless: Knowing its limitations means using it properly

Serverless infrastructure advantages

“Serverless” is one of the new hype words in the IT industry. According to MarketsandMarkets Analysis, the global serverless architecture market size is projected to grow from USD 7.6 billion in 2020 to USD 21.1 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 22.7% during the forecast period. The major growth driving factors of the serverless architecture market include the rising need to shift from CAPEX to OPEX by removing and reducing the infrastructure cost. Gartner analysts also predict that half of all companies worldwide will have implemented a serverless model by 2025, compared to 20 percent today.

 

However, the term “serverless” is sometimes misunderstood. It’s not about getting rid of system hardware entirely. Rather, it’s about a new idea of ​​managing applications and apps while still carrying out basic operations as usual. In plain language, this means: With serverless, the technical, application-relevant level of system architecture is managed independently of hardware-specific issues. The app managers only take care of the top functional level or the service. The cloud platform takes care of the provisioning logic, right through to the virtualization of resources and server control, giving the app manager room for other activities.

 

Serverless computing is an architecture where a cloud provider fully manages code execution, instead of the traditional method of developing & deploying applications on servers. Gartner believes that serverless computing requires IT leaders to take an application-centric approach. Instead of physical infrastructure, interfaces for application programming (APIs) and service level agreements (SLAs) are managed. Thus, developers and businesses can run their services without carrying the burden of managing the underlying infrastructure. Pricing is based on an application’s actual resource consumption, not prepaid capacity units. Also, server management decisions and capacity planning decisions are transparent to the user.

 

Even though the entry into the world of serverless is quite easy, the complexity increases very quickly when developers want to use more sophisticated resources, such as API gateways that sit between the client and several backend services and the calls management. The more the respective company builds on serverless architectures, the greater the danger of vendor lock-in. Decision-makers should keep this in mind if they want to define a serverless strategy that allows them to avoid long-term vendor and security risks. If there is a corresponding awareness in the company, it can use the advantages of serverless without having to fear potential pitfalls.

 

You must also acknowledge that serverless architecture is not the right choice for all cases. If the designated “serverless” application requires significant scaling and generates extremely high traffic for prolonged periods of time, it can become expensive. In this case, a cheaper alternative is a computer cloud such as Amazon EC2, which provides computing capacity in the cloud. Serverless scenarios are also unsuitable for applications that require noticeably short response times, such as real-time applications.

 

The mindset of the developers must also match the specific requirements of serverless. For example, it is imperative that they have an in-depth understanding of how serverless and event-driven architectures are built. Developers must also know the specifications and limitations of the platform used and keep an eye on application and data security. The risks and consequences of implementing serverless are severe unless the benefits have been demonstrated for a specific use case and the organization has carefully considered the ultimate costs and outcomes. Decision-makers should therefore only decide on a potential switch to serverless based on a detailed cost-benefit analysis.

 

The benefits of serverless computing are increased agility, unlimited scalability, easier maintenance, lower costs, and back-end services provided by the provider. It also ensures that companies and their developers no longer must worry about the servers and their configuration. In addition, serverless computing supports multi-cloud environments and makes the pay-as-you-go model a reality. Furthermore, the serverless approach promotes the sustainability of data-supported strategies in financial terms. And that’s exactly why serverless computing is reshuffling the cards in ​​data integration. Now the possibilities in the field of data-on-demand are almost unlimited. Because companies can decide how, where, and when they process data in a way that makes economic sense for them.

Smart analytics: How sales and marketing can drive growth?

 

Digital technologies, particularly Social, Cloud, Mobile, and Big Data, are transforming the industry and the way companies used to operate. These technologies are creating new business opportunities by launching new services and/or establishing new businesses by optimizing operations, reducing costs, improving services, and/or launching new services along with companies.

 

Smart analytics, the most hyped term of the past couple of years, is still a catchall term. The ever-increasing amount of data generates enormous challenges, but also generates significant business opportunities for sales and marketing professionals of all sizes of enterprises. You must have noticed that in today’s ever-changing world, unstructured data such as digital photos, videos, and other connected social media activities are growing much faster than structured data so we can say that data processing is no longer the sole domain of relational databases.

 

Therefore, an entirely new industry has formed around technologies in order to store, sort, organize, and analyze the large volume of data and give business insights. Companies such as Xorlogics helps business to provide them with high-quality software, manage and transform their data, thanks to their deep expertise and leading-edge technologies that they have established in the areas of technology and development.

 

Ok so enough with the history and technology lessons, let’s talk about what does #BigData & #smartanalytics has to offer and how they can change the field of sales and marketing. Well, in my humble opinion, in terms of needs addressed and core functionality, Big Data can be seen as an evolution of business analytics and can be used in customer relationships better than ever before. A survey by Skytree ran in January confirms that sales and marketing gained the most from Machine Learning and advanced analytics projects. Basically now instead of giving ads in magazines and newspapers, or billboards and reaching out to only a limited local audience, it is time to start thinking outside of the box. Big data and predictive analytics technologies represent the opportunity to turn the tables. In other words, sales and marketing can finally become more about facts, analytics, and math rather than only a magical feeling of rather it’ll work or not.

 

Here’s how I think Sales and Marketing are gaining profits and new business opportunities by the correct input of Big Data and Analytics.

 

Customer segmentation:    

By using correctly the analytic tools, one can segment the market into granular micro-segments and then offer personalized services and increase effectiveness, efficiency, and satisfaction. Data analytical tools let you personalize marketing and campaigns, promotions and discounts, and customized goods and services. One can even get the prediction and advanced analytics of customers buying behavior at a nearly “personal” level

 

Social & mobile media real-time data analysis:     

Gathering and tracking real-time data from the Web allows adapting and evaluating business strategies and marketing champagnes that respond best to web-based consumers’ behavior and choices. Real-time sales data visualization technologies enable sales managers to adjust battlefields tactics based on live data feeds.

 

Product cross-selling:            

The best opportunity of cross-selling by using all the data that can be known about a customer, including the customer’s demographics, purchase history, preferences, real-time locations, and other facts to increase the average basket size.

 

Dynamic pricing:        

Increasing the level of granularity of data on pricing and sales – Pricing optimization leveraging demand-elasticity models based on analysis of historical sales to derive insights – Assessing and informing pricing decisions in near real-time. – Integrating promotions and pricing seamlessly, whether consumers are online, in-store, or browsing a catalog – Leveraging performance-based pricing plans and risk sharing schemes.

 

Location-based marketing and sales:          

The growing adoption of smartphones and other personal location data-enabled mobile devices to target consumers who are close to stores or already in them and let customers “check-in” in their favorite places. By geo-targeting mobile advertising, companies can create a multichannel experience to drive sales, customer satisfaction, and loyalty and create value from the use of personal location data.

 

Customer service:      

By developing product sensor data analysis for after-sales service, big data can be used to predict purchases, analyze customer behavior and better understand the people buying your product.

 

In conclusion, I’ll say that it’s true that large enterprises were the first ones to adopt BigData because their need to explore and gain insight from their enormous data is profound in comparison to a small business, however, if you delay a lot, you will be left alone far behind in this high-tech connected world. So more quickly you adapt changes to the tsunami of data and powerful business insights, the better impact your business can get!

How can your business benefit from automated business processes?

If you want to work efficiently and become competitive these days, you can’t avoid the topic of automation. The automation of processes in companies is now considered one of the key drivers of digital transformation. In leading companies, dealing with digital transformation, business strategy and IT are the top priorities. Dedicated business applications that automate tasks and processes are increasingly gaining importance in the entire process of digital transformation. Thanks to technology, processes that until recently were carried out slowly, manually, and with some failures, have now become automatic. It’s no longer challenging to digitize business processes with the help of today’s software, as they enable the CIO to better align IT with the organization’s business strategy. According to analysts from Gartner, for example, companies that work closely with the IT department can realize the benefits of IT projects 25 percent faster than their competitors.

 

Not only the digitization of business processes is crucial for companies to ensure business continuity, reduce costs, increase profit margins and reduce errors or risks. Regardless of your industry, agility within your corporate structures gives you a decisive competitive advantage. It also fulfills users’ needs by providing around-the-clock availability, intuitive interfaces, real-time fulfillment, personalized treatment and zero errors.  Employee morale and creativity are also improved thanks to unstructured and inefficient processes reduction.

 

How can your business benefit from automated business processes

It makes sense for companies to automate their business processes when they realize that their costs are rising, the quality of service is declining and customers are becoming increasingly dissatisfied because customer service is not responding quickly enough. All these issues motivate companies to critically rethink their own business processes. A functioning workflow and smooth processes are among the most important growth factors of modern companies. Automation allows you to optimally use your time and money and thus fully exploit the potential of your company.

Unlimited Productivity: Why a resilient Hybrid IT is important for post-Covid recovery?

Unlimited Productivity Why a resilient Hybrid IT is important for post-Covid recovery

 

Hybrid IT refers to mixed computing, a combination of cloud and on-premise technology in which storage and services are made available in any combination of MAKE (self-provided) and BUY (provided by the service provider in any form) so that the best functions of on-site solutions can be used in conjunction with the best functions of cloud solutions. In short, a combination of public clouds, on-premises computing, and private clouds in your data center means that you have a hybrid cloud infrastructure.

 

Businesses all around the globe are under pressure to innovate, thus the move to hybrid cloud adoption is motivated not only by cost-saving but in supporting fast-moving digital business transformation within companies. As the key benefit of the hybrid cloud is agility, businesses ’ needs to adapt and change direction quickly are focused. The better integration and interaction work, the more successful your company can operate. Flexera 2021 State of the Cloud Report highlights 87 percent of enterprises have already adopted hybrid cloud strategies and an estimated growth rate of 17% has the hybrid cloud industry pegged to inflate from a valuation of $44.6 billion in 2018 to almost $100 billion by 2023.

 

types-of-clouds-used

 

Hybrid clouds offer the benefits of both public and private clouds and take advantage of existing architecture in a data center which is why a hybrid mixture of cloud services are chosen by forward-thinking companies. Worldwide end-user spending on public cloud services is forecast to grow 23.1% in 2021 to total $332.3 billion, up from $270 billion in 2020, according to the latest forecast from Gartner, Inc.

 

By mixing the different cloud models, their advantages can be combined. With hybrid IT, companies benefit from the flexibility of the public cloud and the high-security standards of the private cloud or the full control of their own data in an on-premise environment. For example, it is possible to operate a database in a private network while the associated application is running in a public cloud. The advantage: the data is very well protected and the performance of the application is practically unlimitedly scalable at the same time. However, companies must make sure that they know exactly where which data is processed and how they distribute which processes to the various operating models. Otherwise, there is a risk that security-critical data will end up in the public cloud. In addition, hybrid cloud solutions are significantly more complex than pure public cloud or private cloud environments.

 

The pandemic has exposed vulnerabilities in business that have been hidden for too long. Companies are finding it hard to continuously adapt when their systems are separated. With work-from-home policies and automation becoming new norms, the Hybrid Cloud is entering the next digital era in exponential dimensions. But in the end, it is primarily the security requirements for your data that decide which cloud model is suitable for you. If you process data that are not linked to any special data protection requirements, a public cloud offers you numerous advantages in terms of flexibility, scalability, and cost structure. If your company processes particularly sensitive data that, for example, may not be transmitted, private clouds or hybrid cloud environments come into question. Hybrid clouds have the advantage that they are even more flexible than private clouds. However, they are much more complex in operation.

 

While hybrid implementations can lead to unprecedented complexity in some cases, we at Xorlogics help enterprises navigate this challenge. Get an individual consultation with our cloud experts to know which path to the cloud is best suited for you.

 

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Cloud Computing: Trends for 2022 and beyond

 

Cloud Computing Trends for 2022

Although cloud computing isn’t a new concept and the benefits of the cloud are well known for a long time, cost optimization, security, data protection, and automation remain top concerns for some organizations. However, during 2020 and 2021, cloud computing exploded with the COVID-19 pandemic as more and more organizations moved most of their applications to the cloud. This decision has been motivated by the urgent need for flexibility within a very short time in order to be able to react to changed framework conditions. We will also witness the growth of rapid adoption in 2022. According to predictions from Gartner, global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020. This shows how cloud technologies are one of the most important pillars of modern IT infrastructure today and will continue to gain importance in the future.

 

For very different reasons, companies decide to migrate their digital business processes to the cloud. According to the Flexera 2021 State of the Cloud Report, performance and scalability are among the main reasons, alongside easier data access and management and lower overall costs. Accordingly, 61% of businesses migrated their workloads to the cloud in 2020, from which 92 percent of enterprises have a multi-cloud strategy; 80 percent have a hybrid cloud strategy. But regardless of where they are at in their journey  towards the cloud, organizations should keep an eye on the following trends:

 

The public cloud is gaining in importance within hybrid scenarios

Moving to the cloud is complicated and deciding which cloud type is the right one for an organization depends on multiple factors, such as the requirements for computing, storage, and services. Each cloud model has its own advantages and disadvantages that companies have to weigh up. Hybrid cloud scenarios (i.e. an environment made up of on-premises and a cloud) have established themselves as the de-facto standard for cloud deployment – according to the Flexera study, public cloud adoption continues to accelerate as 36 percent of those surveyed already spend more than $12 million per year on public clouds and 55 percent of enterprise workloads are expected to be in a public cloud within twelve months. The reasons given for this were data protection-relevant applications and business-critical processes.

 

Real-time analytics and IoT are on the rise

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Companies make use of a number of cloud services to solve the different business requirements. Analytics and infrastructure services still comes first, followed by data for machine learning (ML) and artificial intelligence (AI). The Global Connected Device Analytics Market is estimated to be USD 14.9 Bn by the end of 2021 and is expected to reach USD 40.7 Bn by 2026, growing at a CAGR of 22.3%. This huge need for connected devices in the different industries has been motivated due to remote monitoring of employees working from home during the Covid-19 crisis. Additionally, IoT analytics is becoming a core investment strategy for various organizations to leverage analytics as a core competency to deliver better outcomes and to drive differentiation for their product and service offerings. The more intensively and consistently companies use the cloud, the more benefits they can derive from it. This trend will continue in the next year and more advanced use cases such as ML / AI analyses, IoT, but also stream processing will continue to increase.

 

Companies are increasingly lacking cloud skills

As businesses rapidly transition their processes and data over to the cloud, the demand for digital experts is increasing but the skill gap in this area can make it an unrealistic goal for some companies. There is a huge skills gap in cloud computing, both within organizations’ current workforce and in the hiring pool and the situation will worsen in the near future. Organizations are facing the issue of finding skilled IT professionals to cover core missions with critical skill sets to be able to support their business objectives. They need specialist knowledge in handling and managing huge amounts of data in the cloud, as well as building a holistic data architecture. Reports show that missing or limited cloud skills is the greatest challenge in connection with cloud migration for almost a quarter of companies (24%). As more and more organizations are pushing their digital transformation, the need for data and cloud architects or cloud DevOps engineers and cloud system administrators is increasing, but it is becoming increasingly difficult to meet them. Its foreseeable companies will concentrate even more on training their existing employees in order to acquire the required cloud skills, while at the same time relying more on user-friendly self-service solutions in the coming years.

 

As said previously, the global spending on cloud services is expected to reach over $482 billion in 2022, up from $313 billion in 2020 – the next coming years will therefore primarily be about getting the maximum benefit from cloud integration. For this purpose, companies should, on the one hand, particularly tackle the development of the required skills and, on the other hand, consider specifically which IT & business requirements they can solve with the help of the cloud. This enables them to take their cloud usage and business to the next level.

 

Sources:

Top Strategic Technology Trends for 2022: Cloud-Native Platforms

Cloud Shift Impacts All IT Markets

Flexera Releases 2021 State of the Cloud Report

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