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About Aisha Javed

Blogger & Online Community Manager at Xorlogics with an excellent familiarity with various Internet resources, expresses a keen desire to learn/excel on Web Marketing for the benefit of the organization.

How sales and marketing Automation can boost your business?

One of the greatest challenges in marketing today is the introduction of marketing automation or the digitization of sales. Automation of sales & marketing is the implementation of various technology, e.g. in the form of software to take on administrative and monotonous activities. The automation of these repetitive tasks helps boost operational efficiency and ease decision-making. Due to Covid-19, the sales processes within companies showed a positive attitude towards the automation of marketing and sales processes. Research and Markets anticipated the global marketing automation market size to reach USD 8.42 billion by 2027 (March 2020 survey). According to Gartner’s latest annual CMO Spend Survey, 68% of CMOs expect their martech budget to increase by 2021.

 

By means of automation, companies put useful, relevant content online in order to generate qualified leads for marketing and sales activities. This is how the digital sales process gets going. The task of marketing is to gain customer contacts with convincing content on websites, social media or other dedicated portals.  On average, 51% of companies are currently using Marketing automation. With more than half of B2B companies (58%) plan to adopt the technology.

 

Sales automation is not just about email marketing, it doesn’t send useless spam, nor is it a solution for marketers who want to work less. Instead, as part of sales automation, workflows are developed that make work easier and turn prospects into customers. Marketing automation tools are used in sales automation. These tools include lead generation, lead segmentation, email marketing, lead nurturing, and lead scoring. With the right automation and the data of your customers and your communication goals, you create workflows that send the right information at the right moment. Through the intelligent interaction of contact lists, website tracking, smart content, and email workflows, you can achieve a highly personalized approach. Automated sales are all about creating fast and efficient sales processes that lead to more leads or more sales.

 

How sales and marketing Automation can boost your business

Reports have shown that employees spend more than half of their time doing administrative tasks in the CRM system rather than spending time to really sell products. The primary goal of automation is to give your employees more time and hand over administrative tasks to suitable software! To make the road in automation easier, here below typical tasks in Sales and Marketing can be easily automated.

 

  • Morning reports and emails

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Most organizations start the day with a morning summary that includes data such as current team goal achievement, deal status, and employee productivity. Instead of always sending individual emails to all employees, you can automate these reports and have them sent to your employees every morning.

 

  • Lead distribution

Leads have to be processed individually by the sales manager without automation. However, it’s possible that the interest of the potential customer lapses and the lead is no longer usable. You can prevent this with an automated lead assignment. You determine in advance which lead category must be assigned to which member of the sales team. As a result, leads are processed more quickly and, in a time-saving manner, without a single manager having to take care of everything.

 

  • Lead prioritization aka lead scoring

The leads generation is also a topic that costs a lot of time, which is often not valued by the corresponding success. Once a list of target customers has been created, these should be registered according to their priority. An automated lead evaluation system helps with the selection of the most important (potential) customers. This calculates how promising a lead is based on specified criteria. Not only it saves you a lot of time, but also helps to invest in the most promising leads. No more leads are lost as better reporting and analysis options are availed through central tracking of all processes and activities in the sales process.

 

  • Creation of data sets

After the sale, the CRM system needs to be brought up to date. This can take several hours, but it is actually wasted time. Because you can also easily automate this task! It is true that entering data cannot be relieved of you, but functions for a better overview can pop up automatically when you need them, such as, if a lead visits a page with prices, a new task automatically appears in the CRM, when someone requests a demo version of your product, an opportunity is created, another task is created when a demo version expires. With such functions, you make sure that you never miss a sale opportunity!

 

  • Automated library with all sales materials

In most cases, the sales & marketing content is stored in multiple different locations. A nightmare for every employee who now needs different information about a customer or project. With a CRM system in sales, you always automatically have all the data in one place. With the help of search terms, your employees can then easily find what they are looking for.

 

In addition to those listed above, there is a lot more is possible with automation in sales, such as automated billing, automated planning of meetings and appointments, automated reporting for the summary of the activities by the employees, independent lead tracking, and monitoring to understand customer movements, etc.

 

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Hyper-automation: The Future of Digital Transformation

When it comes to digitization processes in companies, there is more and more talk of hyper-automation. But what is it actually? For some it is just a comprehensive form of process optimization; for others, hyper-automation is the future strategic technology that is not to be ignored.

“Hyperautomation has shifted from an option to a condition of survival,” said Fabrizio Biscotti, research vice president at Gartner. “Organizations will require more IT and business process automation as they are forced to accelerate digital transformation plans in a post-COVID-19, digital-first world.”

 

Hyperautomation The Future of Digital Transformation

 

What actually is hyper-automation?

The term hyper-automation goes back to the market research company Gartner. This means a well-founded methodology for achieving tactical and strategic goals through the automation of business processes. Thus, Hyperautomation considers the automation of business processes on a large scale by combining a wide range of coordinated digital technologies.

According to Gartner, hyper-automation focuses on two aspects of business operations: The first is to automate whatever can be automated within an organization. The second is to combine different approaches, tools, and technologies to automate only individual tasks (RPA) but also complex processes with the help of artificial intelligence (AI), virtual assistants, and machine learning (ML).

 

How does hyper-automation work?

Hyperautomation is able to unlock maximum potential by combining a number of technologies that support each other and automate complex processes with unstructured data and a significant level of ambiguity. By using AI, ML, NLP, process mining, and intelligent technologies, the ability to discover processes independently is enhanced, and RPA bots are enabled to do much more than just perform the previous repetitive tasks.

Basically, hyper-automation takes on another level of human work. It’s not only a tool but a unified enterprise strategy or initiative with the ultimate goal of creating and optimizing end-to-end processes to achieve an even higher degree of automation that supports innovative new business propositions.

Hyperautomation only works if bots ultimately also perform the tasks that a machine learning (AI) has identified. Advanced artificial intelligence can better analyze unstructured data and implant it in an efficient workflow. With RPA being the fundamental part of hyper-automation, intelligent bots continue to process the data in hyper-automation and ultimately ensure that the work is done.

 

Benefits of hyper-automation

As already described, hyper-automation enables automation that goes beyond simple, repetitive process sections. With hyper-automation, comprehensive automation can cover even complex processes. Reducing costs and maximizing profits, but also conserving resources and designing a smart working environment are also considered as main benefits. When used correctly, hyper-automation leads to a higher degree of automation and higher productivity in the company. A significant increase in customer satisfaction can also be achieved by integrating the personalized customer service. The side-by-side collaboration of man and machine is the ultimate goal of hyper-automation.

 

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Smart companies: Tips for a smooth integration of AI

AI (Artificial Intelligence) has a long history of being considered science fiction but opens up enormous potential for companies in terms of productivity, the efficiency of business processes, gain sustainable competitive advantage and customer relationships. Covid-19 pandemic is the proof of accelerated use of AI across multiple industries around the globe.

Smart companies Tips for a smooth integration of AI

According to the latest title “Global Artificial Intelligence Market” published by Facts & Factors, the global Artificial Intelligence market size is expected to reach USD 299.64 Billion by 2026 from USD 29.86 Billion in 2020, at a compound annual growth rate (CAGR) of 35.6% during the forecast period 2021 to 2026.

Most companies believe that AI is certainly one of the foremost technologies of the future even though they still aren’t making the most out of their relationship with AI. Here below are few obstacles to AI adoption and how they can be avoided.

 

The Preparation Phase

For many people, there is still something mystical or threatening about AI. Although intelligent technologies act invisibly in our everyday life, the image of AI often emerges as futuristic, emotionless robots that look amazingly like Arnold Schwarzenegger are going to hunt us down and kill us. But AI is only aimed to develop machines/computers that are capable of doing things normally done by people. The lack of knowledge is one of the main obstacles to AI adoption. The implementation of new technologies should always be seen as a long-term project. As there really isn’t a textbook on how to adopt AI at the enterprise level, people with the right mindset need to be brought into an organization to help facilitate changes and capitalize on opportunities.

In many cases, high costs and a lack of resources are also decisive obstacles. But not every company directly needs its own computing resources or expensive, in-house developed platforms. In many cases, it’s worth taking a look at third-party AI platforms or in the public cloud. They enable the use of powerful and scalable AI solutions without the need for extensive investments of your own. The experience of the major platform providers also helps to implement projects as quickly as possible.

 

Communication is the key

The challenge of scaling AI and automation often does not lie in the technology itself. Rather, the corporate culture is often important in order to implement changes in the work environment. Thus, before the introduction of the AI, timely communication with employees is essential. The benefits of AI must be well elaborated and appropriate training must be planned for all employees. Artificial intelligence requires specialists who are well educated and have to be trained. This is the only way to develop, operate and maintain intelligent systems and to handle advanced troubleshooting and continuous improvement of these solutions. Tasks and responsibilities transformation must also be openly discussed to deal with the fear of losing jobs among employees, as, AI will complement rather than replace employees.

 

Introduction of a clear AI strategy

Small and medium-sized companies, in particular, are often reluctant to implement AI because they lack a clear strategy. In the first step, however, a fully developed strategy is not absolutely necessary: ​​rather it is more important for companies to understand the technology and recognize the possibilities it offers. At this point, experts should be consulted to elaborate on the benefits of AI and how can this actually benefit the company? What are the installation process and its duration? What type of data or tools are needed to work successfully?  What can be done to achieve results? Once all questions are clarified, and a strategy has been worked out the introduction can be prepared.

 

AI technical requirements

Like a human, an AI system also needs time to learn. That is why it takes time for the first successes to be measurable. In order to have a decisive influence on the development of companies, good implementation is requisite. The AI requires various available data that it can analyze. This is the only way to generate data models that can be used as a basis for future predictions or decisions. The implementation effort depends, among other things, on the flexibility of the software that a company uses. Another factor is the specific use cases that should be automated with the help of AI and that must be taken into account as early as the implementation phase. It is possible to start individually with each communication channel, regardless of whether it is email, chat or telephone. Preferably, however, the channels are placed one after the other. As a result, a company does not lose any time, because the advantages of an omnichannel system are that the training results of one channel flow into the learning process of the other channels. Depending on the use case, the AI ​​applies different algorithms and develops certain models. The learning is based on the trial-and-error method until it has developed the right model.

 

The AI ​​promises long-term optimization in terms of profitability and efficiency of in-house processes. With the ability of self-learning, algorithms can be used to improve existing processes and products as well as develop new business models. This means that AI has the potential to change entire industries and value chains over the long term. Artificial intelligence also opens up cross-sector value creation opportunities and growth potential for small and medium-sized companies. To gain all benefits related to AI, the first step is the will to deal with the topic of AI and ultimately its implementation. Therefore a well-developed strategy is required.

 

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Tips to enforce IT security in Companies

Companies around the globe are facing huge challenges related to cybersecurity as remote work operations aren’t showing any signs of slowing down due to the Covid-19 pandemic. Their biggest concern is how to ensure their business continuity along with handling vulnerability related to cybersecurity. Reports have shown that the rapid growth of remote work has increased security incidents. According to Accenture’s Cost of Cybercrime Study, cybercrime will cost companies worldwide an estimated $10.5 trillion annually by 2025, up from $3 trillion in 2015.

 

Annual Cost of Cybercrime

 

At a growth rate of +20 percent year over year, this advance underlines huge challenges that businesses have to face as every system is potentially threatened. Thus, it’s important, more than ever, to secure your own infrastructure as well as possible. We’ve listed few tips here below on how companies can keep their IT systems safe and secure.

 

Build a cybersecurity-friendly corporate culture

Companies should appoint responsible persons and motivate employees to fill the security code of conduct. It is not something that takes place alone, the company must invest in a security culture. All employees must be trained on how to keep data safe and the training plan should address both onboarding training and continual reinforcement. Strong security and privacy awareness training program will not only support your business policies but also keep your company’s sensitive information safe. Knowing that no company or organization can function without the internet, a targeted and sophisticated defense strategy must be developed, no matter what industry the company is in or what size it is.

 

Evaluate the risks

You can’t protect what you don’t know. Companies must be carefully evaluated which departments are absolutely essential for the smooth handling of their business. Knowing your own infrastructure allows you to choose which components and information are particularly worth protecting. Once all the areas of protection are identified, where the basis of business existence is located, it’s easier to develop a security strategy. Along with that, the company’s most valuable data must be identified and prioritize for better protection.

 

Identify external and internal threats

Not only attacks from outside, but especially attacks from inside, whether deliberately or through negligence, lead to high economic damage year after year. While external threats are certainly a problem and should be closely monitored, insider threats are at least as dangerous and should be closely monitored as well. IBM estimates that around 60% of all attacks on IT systems occur within their own infrastructure. Verizon even found that successful phishing attacks account for around 90% of all security incidents. Therefore, it is important to have a system for preventing and monitoring insider threats, such as Intelligent User Behavior Analysis (UBA).

 

Maintain strict identity management in the cloud

Digitization is increasingly forcing companies to move into the cloud. Numerous companies have already outsourced their IT systems to the cloud or have started to switch dramatically since the COVID-19 outbreak. But in addition to the numerous advantages, there are also some implications with regard to IT security.

As the employees and consumers have the possibility to log on to numerous services that are hosted on different platforms – locally in the company, in public clouds, private clouds, and on third-party systems, data and applications are available to users everywhere, but at the same time the door is also opened to cybercriminals. Therefore, user identities and access must be well managed while enabling convenient single sign-on for all applications and data, regardless of whether they are hosted online or on-site. The access rights of individual user accounts must be strictly regulated and defined. Also, the number of accounts that combine many authorizations must be as low as possible. Employees should only have those powers that are absolutely necessary for their day-to-day work in their position. Companies with large numbers of users use Identity and Access Management (IAM) solutions to both facilitate access and ensure security in hybrid environments.

 

Backups, prepare for any emergency

“Hardware failure, theft, or malware infection (such as the crypto-locker ransomware attack) can make recovering data that is critical to your business expensive or impossible. To avoid this, you need to back up your data”. Creating a backup of the most important data in an emergency is now common and very effective for data security. All data that is essential for business continuity must be identified as it gives you the possibility to back up your most important files more frequently, and performing a full backup less often.

 

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Reshape the workplace with Mobile Cloud Applications

Digitization has a huge impact on the formation of work processes in companies. The number of mobile workplaces is increasing. Mobility in the workplace is making employees more effective and productive. Having mobile and flexible access to data and documents is increasingly becoming a critical factor for success. The mobile collaboration market is expected to register a CAGR of 13.8% over the forecast period (2020 – 2025) following by the BYOD Market, which is expected to reach USD 430.45 billion by 2025, at a CAGR of 15% over the forecast period 2020 – 2025, in comparison of USD 186.09 billion in 2019. The shift of a typical workplace to a mobile workplace is reinforced by the emerging trend of bring-your-own-device (BYOD) culture. In addition to that, high -speed like 4G and 5G services offered by telecom companies drive the BYOD market to improve collaboration, general productivity, and drive innovation.

 

Mobile working has long been an important part of the modern workplace. They have changed the way we work – in and out of the office. Work from home, some employees already practiced it within their company before the Coronavirus crisis. Others have discovered teleworking and have been forced into it due to the circumstances, following the containment measures. Teleworking has transformed the rigid systems of the working world into a world of flowing transitions. With the integration of these mobile technologies, companies not only increase their own productivity but also provide more flexibility for their employees, as several people or organizations with different end devices and work environments are often involved in a business process. Answering e-mails, getting information about an important customer right before a meeting, or checking business appointments – all tasks that had to be done on the office computer in the past. Today, a quick look at the preferred mobile device is enough and the required information is quickly available.

 

Not only smartphones but smartwatch, in particular, also offer particularly quick access to important data. In most cases, this is not only an eye-catcher but also allows the necessary work steps to be carried out conveniently from the wrist. This includes workflow activities such as approvals, editing, and commenting on texts or digitally signing documents, sending/replying to emails. Such functions save time and are a convenient way for management, for example, to quickly complete time-critical tasks. So that all applications can be operated efficiently on the relatively small screen of the smartwatch, an optimized display of the relevant work steps is essential.

 

According to a survey conducted by eBloom, a Belgian start-up, active in retaining young talent, in Belgium more than 9 out of 10 people who discovered teleworking during the lockdown are ready to practice it in the future. Even though at the beginning of the lockdown, the number of people working from home quadrupled in a week’s time, opinions on the efficiency and effectiveness of the different work styles still differ.

 

Among all survey respondents, 96% would integrate teleworking into their working life, 14% are willing to work from home full-time, 56% prefer the independence that comes with teleworking and 53% say they are less stressed when they are working from home. But the home office is not the preferred option for 69% of respondents, as they feel more connected to their company when they work at the office. Similarly, 66% felt that relationships with co-workers were better when they were at the office. The majority also believe that team spirit (70%), communication (69%), and feedback received (55%) are better when working in the office rather than from distance.

 

Together with other technological developments such as artificial intelligence (AI) and the Internet of Things, cloud computing is contributing to a huge change in the work environment. The main advantages of a mobile cloud solution are similar to those of other applications in cloud computing. High initial investments are avoided, the internal IT department is relieved, the cloud solutions can be used flexibly and adapted to requirements. The introduction of new workflows is accelerated, and the service provider ensures that the technology is up to date. The cloud apps are available wherever there is internet access and only requires minimal IT resources on the part of the user. This creates ideal conditions for working from anywhere on smartphones and other mobile devices.

 

Flexibility is another main factor of mobile cloud application and a hot topic for companies, as customer contacts and collaborations are established worldwide, employees can work remotely from the home office or from any other location/business trips. Another important factor in remaining competitive is the availability and quick reactions. Mobile apps make it possible to carry out internal and external communication as well as various tasks while on the go using a smartphone or tablet. By storing in the cloud, the work progress is always saved and can also be viewed and edited in real-time by other colleagues.

 

In order to be able to enjoy this convenience and powerful business, cloud applications are required, which also bring the appropriate level of security (access protection, data protection) and user-friendliness. In furtherance of enabling efficient and barrier-free work, more and more companies are using professional cloud applications that can also be easily operated on mobile devices. Thanks to technological progress, there are practically no limits to mobile business applications these days. We are only at the beginning of the digitization. The more business processes are transformed, the more uses of mobile devices can be extensive.

 

As the number of company’s mobile device users increases each year, the concern of mobile security becomes more critical than ever. IT managers are increasingly concerned about their protection against malware infections or loss. They are constantly looking for the protection of portable devices such as laptops, smartphones, tablets, and smartwatches from threats and vulnerabilities. In order to adequately protect company data, however, a secure and professional business cloud solution is required. Cloud computing is the future of information technology, some of which have already arrived in the present. For companies, this means a big step that often cannot be mastered without outside help. Xorlogics is a digital agency based in Brussels and supports all sizes of enterprises / public organizations in their digitization processes. Get in touch to book an obligation-free consultation with one of our IT specialists, to discuss your project. We can also do appointments via video call for your convenience if you prefer.

 

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Multi-Cloud: Tips to Develop an Effective Cloud Security Strategy

The term security encompasses more than just protecting a company. A holistic security strategy supports all business processes instead of limiting them. In order to implement a holistic cloud strategy, suitable security tools must be integrated and responsibilities must be clearly assigned in order to avoid misunderstandings and to be able to defend the complex cloud environments against cyber-attacks. As the complexity is increasing, more and more companies are realizing that a single cloud environment is not a beneficial approach for the long run. Whether private or public, every cloud service offers different tools and options, from advanced machine learning tools to affordable storage space prices.

 

Cloud enables companies’ greater agility and scalability, higher performance, and faster access to innovative technologies, all of which help a business to gain a competitive edge by allowing them to be effective in today’s digital market. Knowing that the multitude of cloud services opens up many options for optimizing individual business processes, the multi-cloud world is the new normal for many enterprises. Companies are pursuing a cloud strategy that takes a multi-cloud environment into account. This requires a uniform security platform that carries out security controls and compliance for hosts regardless of the cloud provider or the deployment model used, in order to meet the requirements of the several clouds.

 

Multi-Cloud Tips to Develop an Effective Cloud Security Strategy

 

Choosing a persuasive or strong cloud security provider depends on the company’s ability to address security controls like compliance and privacy issues, protect the data by security measures and few tests from malicious threats, hijacking, etc. Additionally, cloud security is a shared responsibility between the provider and the customer. In the shared responsibility model, there are basically three categories of responsibilities: responsibilities that are always those of the provider, responsibilities that are always those of the customer, and responsibilities that vary depending on the service model: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), or Software-as-a-Service (SaaS), such as cloud email.

 

Here below are few tips that can be helpful to develop an effective multi-cloud security strategy:

 

  • Data protection should be the highest priority

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The main topics in IT security have not changed fundamentally in recent years. Even in a multi-cloud environment, many of them continue to play a major role – but the weighting has shifted with the General Data Protection Regulation (GDPR). Data protection is now at the top of the priority list for European companies. And with the passage of the “Cloud Act” adopted in 2018, things became even more complex for European companies. Therefore, using only national cloud providers isn’t the only solution. Much more important is the question of which workloads are being processed. This means that non-critical applications that do not involve any personal data can continue to run in international data centers of cloud providers.

 

  • Encrypt data consistently

No matter where companies store their data and whether this is to be classified as critical or not – there will always be people who try to overcome barriers. Encryption should therefore be a standard in every company. Consistent encryption on three levels is ideal: the transport route, the storage, and the data itself. The current trend is towards on-the-fly encryption – that is, only users with the correct key are authorized to access information. If you close an open file, the lock will snap shut again. In addition to the encryption, organizations must perform an inventory of security vulnerabilities that they have and those they had in the past because understanding them clearly can help appropriately to shape their organization’s cloud security efforts in the future. So, IT managers must ask the following questions while defining the vulnerabilities: What kind of attacks can the vulnerability of their organization attract? What vulnerabilities does the industry deal with currently? What kind of security threats are they unprepared for?

 

  • Identity and access management

Anyone who works in a multi-cloud environment usually accesses countless cloud services from various providers every day. That is why professional Identity and Access Management (IAM) is also a must. In this way, companies prevent employees from using the same (sometimes insecure) password for every service, for example. Without a comprehensive IAM plan, an organization is certainly more vulnerable to attacks and data breaches. Thus, integrating the right IAM strategy with an evolving multi-cloud architecture will help protect threats and ensure that the right users get access to the right information when they need it.

 

  • Transparency and scalability

The strength of a cloud-based enterprise environment lies in its scalability and elasticity. However, using multiple platforms in a multi-cloud approach often leads to an unpredictable data flow, resulting in a higher level of complexity, particularly security issues. Therefore, multi-cloud security must be integrated to work effectively. The integration of security tools enables cross-platform transparency and consistent security. The cloud security architecture must also be dynamic, flexible, and able to move with cloud workloads and applications as they expand.

 

Undoubtedly the digital transformation is leading the transition to multi-cloud networks and requires strict security management. By integrating the native security features of all clouds into the multi-cloud security framework, companies can multiply their cloud security. This is the only way to protect valuable data, workflows, and resources while meeting the challenges of performance, scalability, and complexity of a constantly evolving multi-cloud environment.

Automation myths debunked: Why is Automation important for your business?

Hardly any company that strategically pursues their company growth can get around automation today. Automation enables tasks that were previously slow, manual, old-fashioned, and time-consuming to be supported with suitable software and thus run independently. As a human error can be unpredictable and happen when you least expect it, with the right technology companies’ processes are more accurate and faster. Use cases of automation are, for example, employee onboarding, analyzing reports on transactions, monitoring bookkeeping activities regularly, customer service, databases updates, sending personalized emails, perform inventory, etc.

Business processes automation can not only be used to gain efficiency. Availability of modern technology, as well as enhanced software applications, have made it easier to increase employee efficiency and you can get better results when you embrace automation. A win-win situation for companies and employees.

 

But despite these benefits, there are still myths surrounding automation that keep companies from getting started. Even though automated processes create positive changes, still, many companies fear high costs, difficult implementation, and staff changes – but these are just prejudices that we would like to address here and thus show that every company can benefit from automation.

 

Automation is a complicated and complex process

Hmmm, yeah. Not if it’s done right. As is often the case, good preparation is half the work. So, before starting with automation, make sure you understand what your company’s expectations are. Your decision to automate must depend on your needs, capacity to build it, and also your customers’ requirements. Specific goals can be developed using your personal business case. This step is essential so that automation succeeds and creates benefits for the company.

These requirements should also be discussed in-depth with different automation tool providers instead of falling for fancy advertising promises or the cheapest subscription. It is advised to meet with different process automation providers for not only choosing the right tool, but also to evaluate your own requirements.

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The future is automated

‍Automated processes bring a lot of advantages in operational processes, such as improved operational efficiency, long-term cost reduction, better customer service, visibility & transparency, and an increase in productivity. However, if a company only carries a small range of products, stores a manageable amount of goods, and generally only offers a small storage capacity, there is no need to implement a fully automated system. In such cases, manual or partially automated solutions that grow with you are the better options. Companies then have to weigh up whether small order quantities can be processed more efficiently in this way.

 

Automation is killing jobs

Nowadays it is constantly stated that automation is accompanied by a huge burden of unemployment. With the increased use of machines and automated processes, the fear of reducing or replacing staff increases. It’s true that automation is impacting various jobs in different sectors around the world. Due to automation, human intervention is certainly reduced in a business process. For instance, from production to planning, everything can be controlled by artificial intelligence or machine intelligence. It is easier to bring accuracy into the production process and increase overall productivity with machine intelligence. Every company wants to reduce the number of its employees as much as possible through technological improvements. But that does not mean that we are heading towards an unemployed society in years to come. As the machines are performing tasks previously done by humans, companies are busy transforming and redesigning jobs in a way that can make technological elements compatible with human capital development. The future workplace is where humans and machines will enhance each other’s strengths by working side by side.

 

Existing systems prevent the integration of new solutions

Automation doesn’t happen overnight – Companies are constantly faced with the challenge of proper integration of a set of services related to automation and ensuring that all expectations are aligned with business goals. Integrating your automation initiatives successfully is impossible without a flexible, scalable infrastructure. Therefore, on-premise infrastructure must be avoided/limited because of its limitation in terms of automation roll-out, scalability, and ease of use. For this purpose, cloud solutions are ideal as they let you get straight to work without wasting your valuable time on on-premise setup and maintenance.

 

So, now that you know that automation is here to stay, and can help you better run your business, it’s a safe bet that such automation can be trusted and utilized. By taking into account the myths discussed in this article, and learning the truth about each, you’ll be able to run your business more effectively.

Why Business Apps are indispensable in 2021

 

Ensuring that corporate processes run smoothly is still one of the great challenges and is taking on a new dimension due to the social and economic challenges posed by COVID-19. Triggered by the “New Normal”, companies around the world are busy innovating in order to minimize/limit disruptions to their businesses and supply chains.

 

As worldwide digital transformation accelerates, cloud adoption, remote working, the automation of processes, IoT integration, and the networking of systems through digitization are causing a radical change and massive structural changes within companies. As part of this digital transformation, business applications are also increasingly being used and are now an integral part of everyday work in many areas of the company. These smart applications have become an important competitive factor thus companies are increasingly making customized applications available to employees, customers, and partners.

 

Driven by real-time capability and the seamless documentation of processes, business-to-business (B2B) applications are now a hot commodity in the workplace. In fact, the demand for B2B apps is expected to drive the market to $140 billion by 2023. This growth is justified by the prevalence of mobile devices and the way employees manage their personal lives on smartphones. According to Statista, a total of 218 billion mobile apps were downloaded in 2020, up from 204 billion app downloads in 2019. Around 3.4 million apps are available for download in Google Play while nearly 2.09 million apps are available on the Apple App Store. But not everything that shines is gold, in order to take advantage of these apps, they must be developed in an agile manner.

 

There is no point in designing a B2B mobile application if it does not precisely meet a business need and there’s hardly an operational process that cannot be optimized using an app. The areas of application are almost endless and cross-sectoral – whether automatic control of a machine, management of the supply chain, or mobile simplification of business processes. Large IT corporations such as IBM and SAP have long recognized the trend and have launched hundreds of business apps of all kinds on the market. Many company processes can be flexibly supported with these smart apps. An increasing number of companies are progressively dependent on the use of technical solutions such as smart devices in order to meet the expectations of their customers in terms of mobility. Not only they can automate tasks but also stay organized and streamline their business processes. The ultimate goal is to achieve an increase in the efficiency of processes through the optimization and automation of existing processes because companies that get the operating model right can see dramatic improvements. Working with apps offers significant potential for improvement, especially where manual and non-IT-controlled processes are encountered.

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Companies are increasingly relying on digitization and making their workplace “smart”. Areas with highly standardized processes and clearly defined procedures are particularly suitable for mobile solution replacement. Many tasks can be processed and managed via the app directly from the employee’s mobile device, with all communication being handled directly in the app. Bad accessibility of employees, the complexity of the assignment of tasks and the enormous administrative effort can also be significantly optimized. As a result, human errors are avoided and 100% transaction security is guaranteed.

 

Additionally, more and more companies are relying on cloud solutions for their digitization projects, because the operation of systems and applications from the cloud offers a multitude of advantages. Mobile apps are environment-friendly as they reduce the paperwork required in business operations. When the information is shared across your cloud-based network as digital documents, the business process becomes easier to handle and operate. Cloud also enables rapid availability and flexible use of applications as required. A particularly important reason for cloud solutions is the quick and easy implementation of digitization projects. Thus, complex internal IT resources can be minimized, since both the operation of the application (including updates, releases) and the complete provision of infrastructure and computing power can be outsourced. The scalability also enables a rapid increase or reduction in users and rental models can avoid complex budget processes.

 

 

 

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Strategy Analytics: Mobile Business Applications Market Will Hit $140 Billion By 2023

4 Cloud Computing myths, debunked

Flexibility, scalability, and long-term business resilience are the huge boost to cloud adoption. The future of the cloud is bright. Over $ 287 billion growth is expected during 2021-2025 for the global cloud computing market. Yet there are many myths surrounding the use of cloud solutions that prevent companies from taking benefits of cloud services. Even after twenty years, the use of cloud applications such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) keeps coming up against it vague fears and rejection. It’s because, in addition to data security, access and control options also play a hugely important role. Cloud solutions certainly pose certain risks for companies and their data if not managed correctly. However, many myths are way much exaggerated. In addition, many risks not only affect the cloud, but also locally operated networks.

The following misconceptions about cloud computing prevent companies from taking advantage of the cloud and have made the acceptance of cloud services particularly difficult.

 

The company will lose control over its own data

Many CIOs and IT managers or administrators often feel that they will completely lose control of companies’ sensitive data and its management once it’s migrated to the cloud. Additionally, they also carry the fear of dependence on providers as the control over the server is also given away to the cloud provider. Overall companies are particularly concerned with the location of the data and a possible loss of control over their own data. But even though they have passed the operation and maintenance of servers into third-party hands, they are and will remain the sole owner at all times and can retain all rights and control over their data and can decide independently, depending on the services used, where the company-critical backup and archiving data is stored. Because administrators and those responsible for data no longer have to worry about small details such as updates or background processes, they can spend more time optimizing the infrastructure and suitable strategies for business growth.

 

The data is not safe in the cloud

For a long time, it was believed that cloud solutions are more susceptible to attacks than the company’s own IT. Cloud services, in themselves, are exceptionally secure. However, many companies are reluctant to cloud adoption and have huge concerns about cyber-attacks, data theft, and industrial espionage. Because there is no such thing as absolute security, more and more cloud providers are creating a secure cloud for their customers. Their business model hinges on preventing breaches and maintaining public and customer trust. Additionally, all cloud providers have to comply with stringent regulations and this requires them to put robust security measures in place, including the use of strict protocols and advanced security tools. Also, the latest data centers are equipped with various security measures and offer users a guaranteed high level of security for their data.

 

Migrating to the cloud is complicated

The companies’ IT departments are often considered to be busy maintaining ongoing day-to-day operations. They don’t have enough time or know-how to modernize IT operations through the cloud. They are persuaded that migration to the cloud will come along with additional requirements, will also increase the complexity of the IT infrastructure and administrative effort. BUT every cloud provider offers their support whether it’s before or during the migration and ensures that everything runs smoothly. The greatest advantages only become visible after the conversion and cloud automation of many tasks and processes, on the one hand, it relieves computer scientists in their everyday work as they no longer have to worry about updates, backups, archiving, or the complicated maintenance of IT systems.  On the other hand, it can meet the requirements of the specialist departments faster than conventional infrastructures.

A company that plans to move its applications from a data center to a large cloud platform, must check whether their applications are cloud-ready or need to be revised before the migration. Otherwise, they’ll end up paying a high price for a platform that they cannot take full advantage of.

 

Cloud is more expensive than the in-house computing

Cloud migrations are complex projects that quickly lead to unexpected costs. As with all operating costs, it is not just the monthly cost that needs to be considered, but also the total cost of ownership (TCO). The cost of going to the cloud depends on several factors such as license obligations, data center, and the company’s ability to control and optimize cloud consumption. The big advantage of the cloud is the flexible scaling and that you only pay for the capacities that you actually use. The up-front costs of cloud migration are often significant, but the longer-term savings usually dwarf that initial cost. Choosing the right provider and achieving more performance and lower costs requires know-how and experience with the multitude of services.

 

Almost every company knows how important it is to keep up with the times in the digital age in order to remain competitive. Cloud computing is playing a vital role in responding to the challenges of these unpredictable times. The cloud is seen as a tried and tested method to achieve the necessary flexibility and agility. It has proven to be an important driver of digital transformation.

 

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IT automation – Top Technology trends to look for Business Transformation

IT automation is one of the biggest IT trend terms in recent years. This involves a wide variety of solutions that give IT specialists more freedom in their day-to-day business. “IT automation is certainly a worthwhile goal because it saves a lot of money through lower personnel costs” – Tony Iams, Managing Vice President at Gartner. Yet IT teams in small and medium-sized companies often struggle with budget constraints and a shortage of skilled workers. When the demand for IT services increases, they are therefore heavily overloaded and look for ways to increase efficiency.

The 2020 IT Operations & Strategic Priorities for IT Executives report from Kaseya shows that IT automation is a critical need for SBMs, 60% of IT executives worldwide plan to invest in IT automation in 2021. IT automation is their primary strategy for doing more with less. With IT automation being a top priority for businesses today, IT teams are now applying it to a wider range of business and IT functions. Here below technologies are particularly efficient:

IT Automation Technologies for Business Transformation

 

Robotic Process Automation (RPA)

Robotic process automation (RPA) is changing the way companies operate around the world. It is well known that with Robotic Process Automation (RPA) you can optimize many processes and save time and money. An immense number of processes are still carried out manually in companies and authorities, although this is actually not necessary. RPA tools use software bots that simulate human-computer interaction to automate routine tasks. RPA is rapidly growing thanks to the benefits it has to offer such as lower labour costs and less human error. RPA bots usually do not require any software customization or deep system integration. According to Gartner, global RPA software revenue is projected to reach $ 1.89 billion in 2021, up 19.5% from 2020. It goes without a doubt that RPA is accelerating digital transformation.

 

Implementation of RPA

Despite the numerous advantages this technology has to offer, most businesses struggle with successful RPA implementation. The use of Robotic Process Automation (RPA) promises a high increase in process efficiency but also brings huge implementation challenges if it’s not seen as a central building block on the way to hyper-automation but just another technology. According to a study by Deloitte, many companies have found that scaling RPA is more difficult than expected. Larger RPA implementations, when the number of bots is more than 50, often take longer and are more complex and costly than companies originally expected. Particularly when introducing Robotic Process Automation, attention must be paid to a strong strategy, right expertise, and communication with employees for the realistic expectations of Robotic Process Automation, because the software robot should automate entire processes or at least make work easier through partial automation. A lack of acceptance makes the implementation of corresponding RPA projects more difficult and leads to distrust and displeasure among employees. Rather, if the employees actively participate in the development of the robot, particularities in the processing of the process can be emphasized. Positive communication also creates trust and motivates the workforce to contribute their own ideas.

 

Predictive analysis

As the name suggests predictive analysis techniques include machine learning, data mining, and predictive statistical modelling to use historical data from various operational sources to predict the likelihood of future events. It’s an emerging technology that is helping companies acquire and retain their most profitable customers and grow the customer base to improve operations. They also help companies predict future customer needs, business needs, human resource requirements, and process improvements that they should make to their operations. It’s being used by multiple companies to improve the efficiency of production and operations, reduce risk and fraud, and create better customer experiences by mapping the likely journey of customers and the expected touchpoints. It can also improve the accuracy of supply chain management, and help organizations create marketing plans with more precision, knowledge and confidence. This technology is also helping IT security experts to identify potential vulnerabilities, determine the likelihood of cyber-attacks and work on improving the company’s security structure.

 

Artificial Intelligence (AI)

AI refers to the ability of a machine to display human-like capabilities such as reasoning, problem solving, learning, planning and creativity. By using machines are programmed to think like humans and mimic their actions. The AI ​​system is fed by sensors in machines, ERP systems, customer relationship management systems and even Internet data. Alexa, Siri, Cortana – the chatbots from Amazon, Apple and Microsoft are examples of how artificial intelligence makes the interaction between humans and computers easier and more efficient. Business software manufacturers are increasingly using intelligent algorithms to make life easier for their employees and customers.

 

Hyper automation

Basically, the term hyper-automation covers the combination of different technologies. From a global perspective, the focus is still on the automation of simple and complex tasks, but the combination of different technologies such as PRA, ML, and IBPMS ensures more efficient processes. In addition, there is no need for human action. Hyper-automation contributes to higher productivity in the company. According to Gartner’s, List of Top Strategic Technology Trends for 2021 – Hyper automation is a key trend that digital strategy teams should consider.

 

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