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Why is Change Management mandatory for Digital Transformation?

The topic of digitization is omnipresent – and is discussed daily in the media. Digital technologies and their unlimited availability via the Internet are fundamentally changing companies. These technological transformations are altering the world of work as never before. The combination of machines and humans is leading to unimaginable innovations. Forcing companies around the globe to reinvent/revolutionize their business models, redraw the boundaries between industries, and create new interfaces for the customer with the help of digital technologies.

 

These digital advancements are the main motive for companies to adapt and deal with the changes in their work environment. Although digitization is now almost in part of everyday life – it brings changes that trigger fears among many employees. Dealing with such changes in companies can be a hurdle without well-defined change management.

 

“Change Management is the general term used to describe the approaches that businesses take when making both short and long-term organizational change, both of which are often necessary for businesses that want to survive and be successful”. Sustainable change management must keep an eye on social and economical challenges. It must not only take into account the digital transformation but also acknowledge the society and demographic changes as well as productivity and social demands.

Change Management helps your Business

Think globally, act locally. Worldwide companies are increasingly doing business in an international context. Therefore, change management must also be able to control, learn and act across cultures and nationalities.

Change is inevitable and is nature’s law. Management often finds it challenging to make employees adapt to the change quickly and often underestimate their employees which results in the downfall of even the biggest business empires. The key question from the company’s point of view should be: How can we ensure, in a continual state of change, that the employees actually have a sustainable mix of skills, to get the best from them, to achieve strategic goals?

 

Following are some easy ways for you to help your employees adapt to change in the workplace:

 

  • The company’s culture influences the pace of innovation within the organization because digital transformation requires both executives and employees who are willing to take risks and seize opportunities. Therefore, the focus must be put on the corporate culture before opting for any corporate changes or every transformation. Employees must be well prepared to accompany the change and support the new digital strategy for the long term.

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  • With digitization, the challenges faced by employees are also changing rapidly. All members of the organization are equally involved in realizing a shared vision. This means that companies are responsible for ensuring that their workforce meets the requirements of tomorrow and develops relevant skills. A training model for employee development in the digital transformation must be elaborated, with which skills are built up in a sustainable and targeted manner. Additionally, everyone at different levels of the company and in different project teams works together to build trust, promote transparency and involve all employees.

 

  • Change is inevitable, it’s not a single project with a beginning and end. As technology is constantly evolving; current processes have to be constantly adapted. Digital businesses never change the company’s core values ​​or offerings. Instead, it is about developing a networked work culture and acquiring digital tools that support the company’s strategic goals. Thus, it is also important for employees to keep learning and developing.

 

In the current digital transformation landscape, the capability to address and adapt to change within an organization is becoming an essential element of survival for worldwide businesses.  If your company is preparing to undertake digital changes or struggling to manage them, Feel free to reach out to our consultants that offer a wide range of business and technical know-how as well as the necessary instinct to solve the individual challenges of your organization. We can’t wait to help you find success.

Data: A key resource for Digital Business Models

Businesses are generating and collecting large amounts of data, due to the rapid digitalization in all sectors and industries. Digitization has come to stay so not only the volume but also the variety of data – structured and unstructured – is growing exponentially in companies around the globe. New sources of income and growth opportunities are what companies strive for today. The evaluation and analysis of data help significantly and are becoming more and more important for companies – because the results of such analysis are considered as a strategically valuable asset.

Data A key resource for Digital Business Models

Companies don’t just want to collect the data, but their goal is to get real benefit from it. The analysis of data, which arises from individual digital interactions, generates significant added value for companies. This also includes the processing of omnichannel data, regardless of whether they are structured or unstructured, to get better insights into the entire customer journey. In order to unlock this potential in companies, a data strategy is required, i.e. a plan for data value creation in the company. Because only those who use data in a targeted and intelligent way can make better and faster decisions, optimize processes, improve planning or develop new approaches, define new customer-specific offers, or even innovate the entire business model & define short- and long-term objectives.

If implemented correctly, a data strategy offers companies from all industries and, in all areas of the company, sustainable benefits. In the transformation process, management must take into account the data infrastructure, data management, the general data strategy approach, and data analysis and its use.

 

Data infrastructure

The development of future-proof and efficient data infrastructure is based on a high degree of flexibility in data generation, virtualization, and processing. For high-quality data analysis, companies should therefore increasingly focus on independent software components (microservices) that have interfaces with common communication standards and thus enable quick and flexible integration into new applications without detours. Particular attention should be paid to fast network architecture, the prevention of data silos (e.g. by introducing a data lake), and the inclusion of secure cloud solutions.

 

Data strategy

The development and implementation of a data strategy often present companies with challenges. A suitable data strategy must be adapted to an organization and its objectives. It defines how data is handled and which goals are pursued. Since data value creation is not just a technology issue, but rather affects almost all areas of the company as the core of digital transformation, uncoordinated and decentralized approaches often do not lead to success.

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Therefore, a correspondingly fast and agile strategy is required to achieve results quickly. If the decision is made on a static approach, the motto is usually “defense instead of attack”. The focus is clearly on strict regulations in the handling of data and data quality. With a strategic approach, companies choose the middle ground between strict guidelines and targeted data usage. Companies that take a dynamic approach to data handling use a large amount of data in order to be able to react quickly to market changes and to improve their own analytical skills. Fast data access and quick results are important here. In the dynamic approach, cost savings and profitability through the use of data come to the fore. Flexibility in analysis and quick availability of results, for example through user-friendly data visualization, is essential.

 

The data warehouse

No matter what you need your data for and how you ultimately create your data strategy, every modern organization with a lot of data needs modern data warehousing. The data warehouse is the universal place where data from many different sources is collected. If you are planning a suitable data strategy, the data warehouse is one of the most important core elements to be reviewed. In many companies, IT teams are looking for a suitable data strategy that simplifies administration and helps to draw value from all the existing data. A modern data warehouse must therefore be part of a successful data strategy. Companies working on a data strategy cannot avoid modernizing their data warehouse. And one of the most important tasks in this modernization is the automation of the data warehouse.

 

The goal of a strong data strategy should always be to build an organization where agility is an integral part of its DNA. Such an organization works with an operating model that focuses on the employee and the customer. The model equips the company with the ability to quickly recognize changing business requirements and to continuously develop. We support you in designing, implementing, and integrating data correctly into your existing system landscapes and thus into your processes. Feel free to reach out to our consultants that offer a wide range of business and technical know-how as well as the necessary instinct to solve the individual challenges of your organization. We can’t wait to help you find success.

 

 

Sources:

SAP White Paper: Digital Transformation – Digital Business Modeling A Structural Approach Toward Digital Transformation

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

Covid19: Evolution of the Digital Transformation within companies

Covid19 Evolution of the Digital Transformation within companies

The corona pandemic is continuously changing the framework for digitization. According to IBM 96% of leaders report that Covid-19 will accelerate their digital transformation by an average of 5.3 years. Another study by Celerity shows that 63% of leaders state that the Covid-19 pandemic prompted them to embrace digital transformation sooner than originally planned. The goal of promoting innovations faster and keeping up with the times is the most important reason for digital transformation for companies.

 

With the adoption of digital solutions, companies have greater resiliency. They can not only streamline their operations but also automate all manual processes in order to generate more revenues. With data driven insights, companies can make decisions faster and adapt or change course at any point. They are also better prepared to fight against cyber threats, also when their employees work remotely. All these advantages give companies a boost for their own digital transformation, but they also have to overcome various hurdles as the transition to a digital company is anything but easy. Limited resources, rigid legacy systems as well as unclear goals and rules – all these things delay IT departments when it comes to innovations.

 

Even tough 30% of organizations will increase innovation and reinvent their business models in order to future-proof their companies, digitization continues to be a major challenge for many companies. Companies’ IT departments are experiencing the greatest change: they are developing into a service provider who, on the one hand, strives to ensure that the IT systems and applications run properly and, on the other hand, acts as a full-service provider of IT-supported business processes. The requirements continue to increase. A total of four hurdles in particular slow down innovative projects.

 

Skill shortage:

According to the KMPG CIO survey, 54% of organizations reported that skill shortages were holding them back from pursuing their transformation goals. In particular, they were lacking expertise in the following areas: Cybersecurity, Technical architecture, Enterprise architecture, Advanced data analytics. Current IT teams are made of few people who have the essential technical skills but don’t have training time to develop the skills. But if your business is suffering from skills shortages, ignoring training is not the right solution – it’s much easier to train existing staff than to hire new employees.

 

 

Legacy systems

Legacy systems, which form the backbone of many enterprises, are holding them back from leveraging new digital technologies and creating new experiences for their customers/partners. Outdated business software consumes a lot of resources in companies. According to Forrester, companies invest 70 to 80 percent of their IT budget in maintaining rigid back-office systems. These systems are difficult to integrate or customize when it comes to supporting new digital initiatives. Slow development methods combined with legacy systems make the problem worse. Outdated networks and servers no longer meet the needs of companies. Taking the right step and modernizing the legacy is the way forward. The IT modernization promises cost savings, efficient management of IT infrastructure, efficient utilization of human capital, better security and risk management, enhanced user experience, and last but not the least, a direct impact on competition.

 

Limited resources

Digital transformation is necessary in order to become more agile, more innovative and more resilient, but often only limited resources are available for converting old processes to more modern tools. Building a business case for such investments can be quite challenging in terms of budget approval. Also, all legacy systems require modernization. Otherwise, they can be exposed to crashes anytime. Therefore, the introduction of new technologies can be introduced in steps, often with a free software test phase.

 

In order to be really successful, that means first and foremost to be economically positive, but also to recognize and use the opportunities of the future as a driver of innovation, a digital roadmap should be planned. Not the hard change, but a targeted and coordinated development in digitization should be the way in which all members involved within a company pull together. Strategic concepts that include optimal resource planning are required here. This means that a networked transfer of knowledge and experience must take place. Using the strengths of individual individuals and combining them with scientific innovations should be the path to productive and efficient profitability. The digital evolution is a permanent further development and with all step forward new opportunities become visible that can be realized through a stable foundation.

 

Sources:

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The Next Generation Intelligent IT Infrastructure

 

The rapid adoption of cloud computing, big data, and IoT devices proliferation contribute to the increasing complexity of business IT environments today. These and other key trends are challenging organizations to effectively and efficiently manage and secure their IT environment and to assure IT service levels and achieve business success. It doesn’t matter whether it’s hosting or outsourcing your own hardware to a colocation. The first question from customers is always: How safe is it to give your own data to someone else? Hardware, software, infrastructures, either of a start-up of a big enterprise, everyone needs the latest, high-quality, and powerful IT. But of course, these facilities come with an important amount of financial resources.

 

In addition to that, today’s IT infrastructures are being overwrought to the breaking point by new technologies and applications, such as requirements of controlling mobile devices, maintaining visibility into virtualized resources and services, including on-premise, cloud, hybrid-cloud, virtualized, distributed, and mobile components, achieving increasingly demanding SLAs for critical business applications and so on. Managing IT services and automating all aspects of IT management in remote and distributed environments with ease is often labor-intensive and costly for organizations because their available IT management tools are often poorly integrated. Effective IT service management becomes more challenging when some resources are on-premise and some are in the cloud.

 

This post outlines what IT professionals should look for when determining the enterprise legacy infrastructure transformation and make it ready for the digital future.

 

    • Even in 2020, many enterprises still use outdated systems, without considering that they can be exposed to crashes any time and they can be left with no backup plan!. If the X software worked perfectly fine for years, it doesn’t mean that you can run it for life. Outdated software applications can, unfortunately, hurt your business and waste time by slowing down production, wasting money in the long run, and even increasing vulnerability to security threats. Thus, one should not ignore or underestimate the hidden costs of legacy software.
      Research indicates that costs related to maintaining legacy software can exceed the original development budget in just 5 years and take up as much as 75% of the IT budget. In addition to that, the estimated average cost of a data breach is $4 million according to IBM.
      So instead of being stuck with your old software, letting new opportunities in your industry go unnoticed, you need to follow industry trends by making sure that you are focusing 100% on your business demands. This creates more business openings for you and you can take over your market share.

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    • Call it a digital transformation strategy or call it smart business, by removing unnecessary software your company can re-organize your IT infrastructure to align with existing or new business goals.  As enterprise licenses aren’t cheap and every single seat is worth from hundreds to thousands, a regular software audit allows you to cut the cost of unused software and potentially save millions a year.

 

    • Despite all of the technology at our disposal, many enterprises still rely on manual, repetitive tasks in industries such as transportation and logistics, financial services, manufacturing, insurance and finance, and accounting. Mostly the reason for performing manual tasks instead of opting for automation is because old legacy systems are difficult to integrate with modern applications. By automating every manual, repetitive task to the company can multiply efficiency and profitability, increase workflow efficiencies, and freeing up their staff for higher-value work.

 

    • In Cloud computing ear, the business landscape is revolutionizing. Cloud computing offers increased flexibility, efficiency, accessibility, scalability, and collaboration. Plus, cloud computing can help you get your entire staff on the same up-to-date software. The biggest concern for many IT teams has been tackling the growth of data. If your organization is still not taking advantage of the cloud, it’s time for an IT infrastructure upgrade. This shift will not only give you the increased processing power and data storage your company needs, but it will also give your staff the consistency, flexibility, and improved collaboration tools to help you get the most from your technology.

 

Sources:

Accenture: Intelligence unlocks vision

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.

 

Sources:

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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.

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.

 

 

 

Sources:

 

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

HR Process Management : Why should you invest in HR Automation?

What Is RPA and Digital Labor?

The global robotic process automation (RPA) market size was valued at USD 1.57 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 32.8% from 2021 to 2028. Different organizations in different sectors are increasingly challenged by the growing market competition due to the shift in technology and changing consumer preferences. Additionally, the shift in company business operations due to the pandemic is expected to favor market growth over the forecast period.

 

All these challenges in today’s professional life mean one thing: constant movement. This means today’s organizations are required to comply with complex administrative procedures. One major challenge is the requirement to regularly track and manage hundreds of Human Resource (HR) onboarding and offboarding.

Robotic Process Automation is a process automation technology that allows businesses and organizations to configure software Robots to carry out routine, rules-based computer tasks in a way similar to a human employee. Robots can fill out documents, read and send emails, enter data into business applications, and much more. The ideal RPA solution uses AI and ML to automate a vast range of high-volume and repetitive tasks that previously required humans to perform. Also, the top-ranking RPA technologies also incorporate a variety of AI components to facilitate the Robot carrying out human tasks.In performing robotic process automation, many think of the RPA software robot as the “arms and legs,” and the AI components as the “brain.”Analysts from McKinsey & Company have called RPA technology a “third arm” for HR organizations as it works with HR to amplify the department’s capacities.

 

HR Automation is multi-functional and can lead to many different benefits. Some benefits include Higher productivity due to faster processing times and information sharing. Reduced storage, printing, and courier costs associated with paper-based work environments. Reduced risk of non-compliance penalties. Fewer data entry errors and lost or misplaced files associated with manual processes. Better support of organizational growth through efficient hiring and leaner operational costs. Better collaboration with executives to recruit, train and retain top talent.  More time to analyze HR data to make intelligent business decisions.

 

Before automation the Human Resource Management System (HRMS), was comprised of 1 to 10 employees, depending on the organization’s size, manually sorting and filing thousands of forms with hundreds of variations. In addition, they performed different validations in order to enter information into the HRMS. The manual tracking, management, and data entry approach was slow, confusing, and characterized by high error rates. To avoid these mistakes and benefit from the shift to automation, progressive HR teams are applying RPA to help tasks like data management and validation; running, formatting, and distributing reports; and replacing manual and spreadsheet-based tasks. Companies have automated payroll updates, sick leave certification, and employee onboarding / offboarding. Some are also exploring more advanced cognitive automation technologies, like machine learning and natural language processing, to enhance a range of HR processes from talent acquisition to benefits administration and beyond. The results of the RPA deployments studied have shown a significant decrease in process time, a major reduction in errors, and a high potential for scalability.

 

Organizations looking to get started typically ask, “Where should I start? or “Which vendor should I choose?” To help inform and steer these decisions, here below are few tips for onboarding and offboarding automation.

 

    • Redefine what digital means to the enterprise: Automated onboarding and offboarding require sensitivity from everyone involved to change management processes. As an IT department, involve your colleagues from HR and all application managers from the very beginning. Only in this way automated processes can be integrated smoothly in a larger organization. Only when your colleagues fully accept the new processes do they support them effectively. The future workforce will soon be populated with both human workers and digital workers. HR must prepare the workforce for a future where people and robots will work together.

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    • Train Staff: Switching from a manual to an automated HR process requires a significant change in employee behavior, but thorough and engaging training can help facilitate the transition.

 

    • Appoint a Chief Digital Officer or equivalent: Identifying a project owner and project champion is the next critical step toward successful HR automation. While the project owner handles daily operations, the project champion shares the vision of automation with stakeholders and gathers support.

 

    • Setting up clear processes: The transition from manually controlled to automated processes involves both technical and cultural change. Therefore, well-defined, documented processes on how to initiate delivery of HR services through an identity management solution are highly recommended. This phase will certainly take some time. However, it is indispensable for successfully implementing automation based on coordinated processes.

 

    • Build and optimize agile delivery: Build a development environment for all critical applications. In this way, you will be able to develop new automated processes step by step. Such a development environment offers rapid testing and continuous improvement.

 

    • Focus on platform capabilities and include Security Issues: Cyber ​​threats are driving IT and security teams to work more closely together. Integrate identity management with access control systems. Ensure control over privileged accounts and be able to quickly adjust access privileges in case of onboarding – offboarding.

 

    • Acting fast: A close cooperation between IT and security also allows the rapid withdrawal of rights when an employee leaves. With automatic access control, IT is immediately able to revoke access once an employee has quit. With a real-time dashboard as part of an identity management solution, IT and security teams can instantly see who leaves the company and when. Automatically created permissions can also be quickly revoked using automation.

 

 

A changing landscape means HR must frequently adapt better strategies and seek out better processes and tools to deliver high performance. In today’s changing era, if HR departments still rely on manual, paper-based processes will be left behind if they won’t re-examine their infrastructures and won’t adapt automation technology in order to benefit from better productivity, cost containment, and compliance, awareness of employee and candidate.

As they begin to identify opportunities for HR automation, they must not forget that HR will always be about the people, and automation technology should serve those people, not replace them. As such, not every single aspect of HR can or should be automated; rather, automation should help HR professionals find and retain more talented individuals, collaborate with the organization, and spend more time evaluating their workforce.

 

Source :

–      Robotic Process Automation (RPA) Market Size, Share & Trends Analysis Report By Type (Software, Services), By Application (BFSI, Retail), By Organization, By Services, By Region, And Segment Forecasts, 2021 – 2028

–      Robotics and cognitive automation in HR Insights for action 

–      Artificial Intelligence in HR: a No-brainer 

–      Robotic Process Automation (RPA) On Entering an Age of Automation of White-collar Work Through Advances in AI and Robotics

Digital Transformation: A Core Element of B2B Business Resilience

COVID B2B BUYERS

 

The long-term effects of the Covid-19 pandemic are only just becoming apparent for companies. It’s been a perfect storm, destroying jobs and creating debts for firms in fragile financial health beforehand. More and more companies were/are not generating enough earnings to deal with their private/public debts.

This unprecedented economic disruption encouraged and motivated companies to decide which measures to take in the future in order to remain resilient. For example, salespeople were unable to meet customers in person. That’s why AI-supported digital sales technology took place in large companies, it’s a must-have to stay fit for the future. New models of action and sales channels are being adopted for long-term survival. To better understand how B2B buying habits and preferences are being affected by the pandemic, PROS worked with Hanover Research to conduct a global survey of 210 purchasing professionals in the U.S./Canada, Europe, and Australia/New Zealand.

 

According to COVID-19 B2B Buyer Trends Report, 37% of companies have been buying mainly through digital channels since the beginning of the pandemic. That is a significant increase, previously it was only 29%. It is also expected that this increasing trend of digital procurement is likely to sustain post-COVID-19, with almost half of buyers (40%) expecting 51-100% of their company’s purchasing to run through digital channels. The results show that eCommerce has become very important in the B2B environment during the pandemic. Even though the trend towards shopping through digital channels is not new, not all providers were prepared for this rapid change in purchasing behavior in the past year. Two-thirds of buyers said working with some of their suppliers was challenging during the pandemic. For 47% of North American buyers 50 percent or more of their purchasing is run through digital, self-serve channels, compared to European (28%) and Oceanic (17%) buyers. A third of Buyers indicate that about half of their existing vendors are well-prepared (40%), while a quarter indicates most vendors are underprepared (23%) to support them in a virtual environment.

 

Slow and inefficient responses, inconsistent, highly variable pricing, and a lack of transparency into inventory were top 3 challenges listed by B2B buyers in working with their current vendors. Buyers are now demanding more responsiveness, transparency, and proactivity. Only the ability to anticipate what a customer needs – and deliver those products through their preferred channel – creates the consistent buying experience that B2B buyers are now demanding. Competitive pricing (40%), supply availability (39%), and better digital purchasing experience (35%) are top reasons for a buyer to switch from their current vendors.

 

The crisis forced buyers into doing their homework to find real market value and omnichannel purchasing; before buying for products/services they do research on the web, browse various vendors and then contact a sales representative for more information. B2B buyers are continuously looking for a more personalized, customer-oriented experience via digital channels. Therefore, in order for a company to successfully digitize sales, all sales channels must ultimately be brought together in a defined, holistic omnichannel model.

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When numerous buyers are forced to change their habits overnight, providers have to act dynamically and reliably in order to build and strengthen trusting customer relationships. In order to provide this necessary level of service, an underlying technology is required that can not only complete digital transactions. Buyers want quick, personalized responses to their inquiries. Providers must therefore show them further options in order to create added value together. In addition, the inventory and pricing must be transparent.

 

Companies are realizing the potential of Artificial intelligence (AI) in the adoption of rapid changes. Because AI offers deep insights into the entire sales process and across all channels. Companies can analyze huge amounts of data in this way. AI today is helping sales reps automate repetitive tasks like data entry and meeting scheduling or complicated jobs that do not require personal relationships like sales forecasting. This way sales reps can prioritize tasks more effectively and become a better salespeople by highlighting patterns in customer responses. Thus, they can use (AI) to predict customer needs and address them with the right offers via the right channel. Additionally, AI solutions can quickly provide an overview of stock overview, the right price is, the number of products which is already ordered, and which channels are preferred by customers. AI-supported sales that accompany and connect different sales channels bring the customer a consistent shopping experience. This leads to greater customer loyalty and increases sales in the long term. On the other hand, this is exactly what increases the resilience of providers.

 

The instability of the current economic environment has forced traditional businesses to adapt to rapid digital transformation, especially in the eCommerce space. Companies that use AI to develop and implement the right omnichannel sales strategy will achieve relevant competitive advantages and continue to be successful in the future.

 

Sitting and waiting is not an option. Those who can’t come up with new strategies in shaping competition risk being left behind or cut out of the value chain entirely. Technology is no longer a budget expense, but rather a strategic investment. No matter what size your business is, maintaining the right IT company is vital to the future success of your operations. We at Xorlogics, make sure that your organization is ready for digital transformation. We take the time to understand what you need and how to best help you to align with your requirements and objectives, both in the short-term and the long term. If your company is ready to take advantage of new opportunities offered by the rapid spread of digital technologies, please don’t hesitate to reach out to one of our specialist IT consultants. We can’t wait to help you find success.

 

Sources:

COVID-19 B2B Buyer Trends Report A Survey of 210 Global Purchasing Professionals

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