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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.

The Data Modelling Techniques for BI

The Data Modelling Techniques for BI

Business applications, data integration, data management, data warehousing and machine learning – they all have one common and essential component: a data model. Almost every critical business solution is based on a data model. May it be in the areas of online trading and point-of-sale, finance, product and customer management, business intelligence or IoT, without a suitable data model, business data simply has ZERO value!

 

Data models and methods for data modelling have been around since the beginning of the computer age. A data model will remain the basis for business applications for the foreseeable future. In the area of ​​data modelling, the basics of mapping complex business models are developed. In order to model data successfully, it is particularly important to understand the fundamentals and relationships between the individual topics and to reproduce them using examples. Data needs a structure, without it, it makes no sense and computers cannot process it as bits and bytes.

 

What is the business intelligence and why is it important?

 

The concept of business intelligence first appeared in the 1960s. Business intelligence, also known as BI, is a collective or generic term for the various sub-areas of business analytics, data mining, data infrastructure, data visualization and also data tools. In summary, BI analyses all the data generated by a business and makes reports, performance measures, and trends that helps management in decision making.

 

BI is essential when it comes to optimizing business processes and positioning yourself successfully for the future. As the goal of BI is to provide you with company data from all of your company areas, so can use it for the company’s efficiency & increase productivity and react to changes in the market. With business intelligence, you are able to identify and evaluate data and ultimately react to achieve goals.

 

Data modelling techniques – an overview

 

The following is an overview of the various data modelling techniques:

    • Flat data model: in this very simplest database model, all data is in a single two-dimensional table, consisting of columns and rows. Columns are assumed to have a similar types of values and in the row, elements are supposed to have relational value to one another.

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    • Hierarchical model: data is stored in a tree-like structure. Data is store in a root or top-level, directory that contains various other directories and files.

 

    • Network model: This model is very similar to the hierarchical model but the hierarchical tree is replaced by a graph. In this model, the records are connected to each other and their allocation takes place via a link table. In this manner, the hierarchy is maintained among the records.

 

    • Relational model: This model represents the database as a collection of relations. A relation is nothing but a table of values. A predicate collection over a fixed set of predicate variables, the possible values ​​or combinations of which are subject to restrictions.

 

    • Star schema model: A star schema is a database architecture model where one fact table references multiple dimension tables, optimized for use in a data warehouse or business intelligence.

 

    • Data Vault Model: Entries with long-term stored historical data from various data sources, which are arranged in and are related to the hub, satellite and link tables. At the core, it is a modern, agile way of designing and building efficient, effective Data Warehouses.

 

Accelerated Automation: RPA as a Service (RPAaaS)

RPA – Robotic Process Automation – is the automated processing of business processes by digital software robots. This technology beings its support in clearly structured, repetitive, and rule-based processes and tasks that are carried out by people. With RPA, companies can implement a level of precision in the processing of tasks that is often unattainable by human alone. In this robot-controlled process automation, the bots take over the roles and tasks of users and interact with other software systems. Almost half of all processes in companies can be automated with the help of RPA.

 

RPA as a Service is the easiest and fastest way to use the advantages of Robotic Process Automation (RPA). RPA as a service means companies can take advantage of the many benefits of RPA without the upfront cost, inconvenience, and maintenance of buying their own RPA technology or hiring in-house RPA developers. RPAaaS offers a selection of out-of-the-box RPA services and tools accessible through a monthly subscription in order to meet the needs of every business for quick and cost-effective intelligent automation.

Accelerated Automation RPA as a Service RPAaaS
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Every organization has different needs, timelines, and budgets, therefore, RPAaaS solves the problem of a lack of in-house development resources not only by providing the development platform but also by offering bookable, qualified RPA experts, such as, RPA business analysts, RPA developers, or RPA architects. Thanks to the model of resources that can be booked as required, load peaks can be flexibly balanced and the schedules for scaling bots can adhere. The main objective of RPAaaS is to reduce development and deployment costs and quickly and effectively meet the need for effective and reusable automation components.

 

The relocation of automation assets to the cloud opens up a way for financially constrained companies to tackle the planned business process automation or to scale existing automation approaches without having to hire qualified automation personnel and also by eliminating the need for infrastructure and maintenance.

 

Business continuity, supporting a distributed workforce or digital transformation, whatever the business goal is, with RPA as a service, a company does not need to purchase its own servers, licenses, or professional services. RPAaaS is therefore also suitable for companies that only plan to use it for a limited period of time. Because in this case, there is no point in purchasing expensive RPA technology that will no longer be used after a certain project has been completed.

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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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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Lesson From Crises: The COVID-19 Pandemic led Companies to adopt a Multi-Channel Business Approach

Lesson From Crises The COVID-19 Pandemic led Companies to adopt a Multi-Channel Business Approach

The corona year 2020 gave a huge boost to the online purchase, not only during the lockdown period but also post-lockdown as third more products were bought online compared to the previous year, according to the quarterly figures of the BeCommerce Market Monitor, a survey conducted by GfK on behalf of BeCommerce with the support of PostNL and the National Lottery. Ecommerce in Belgium was worth 10.26 billion euros in 2020. That’s a decrease of 10% compared to 2019 as the corona crisis has had a major impact on the service sector. Only 25% of all online spending went to services, on the other hand in the first 9 months of 2019 products were bought for 3.7 billion euros compared to 4.9 billion euros for the same period in 2021. “Corona has finally made Belgian entrepreneurs realize the benefits of e-commerce. Together with the consumer, they are finally paving the way to a more mature e-commerce market”, says Sofie Geeroms, Managing Director of BeCommerce.

Manufacturers and brands from a wide variety of industries have recognized the opportunities, are increasingly relying on direct sales (D2C / D2B), and are building their own e-commerce channels apart from retail. Another study, conducted by the UNCTAD (United Nations Conference on Trade and Development), based on the impact of COVID-19 on e-commerce businesses from early March to end of July 2020 in 23 countries shows how the third-party online marketplaces have performed better than e-commerce companies.

 

A multi-channel business model has been more resilient to the current crisis. In terms of sales trends, e-commerce companies have recorded declines in sales, while nearly 60% of third-party marketplaces have seen increases. Additionally, half of the surveyed third-party marketplaces onboarded new sellers on their websites. Close to 60% of the third-party marketplaces experienced a rise in the number of buyers. The number of online shoppers in Belgium increased by 2 % in 2020 thanks to the 200,000 people who bought something online for the very first time. On one hand corona crisis is massively accelerating numerous developments and trends that concern, manufacturers, brands, and retailers. On the other hand, customers are placing more value on personalized offers, good service, and availability.

 

So basically, when it comes to online business, it is not enough just to have a well-designed webshop with beautiful products. If you want consumers to choose your store over the competition, a smart, multi-channel retail strategy is vital. The term online and offline should no longer be thought of in two separate business models but should be developed and implemented as a uniform business strategy. Companies’ presence on various channels addresses different target groups, which means that new customer groups can be developed and greater market coverage is achieved. As the name suggests, using different sales channels, which not only generates additional sources of income but also spread your entrepreneurial risk in times of crisis. Companies that currently have to keep their local locations closed have the option, for example, of continuing to supply customers via online channels.

 

In order to adapt a multi-channel business model, a holistic strategy is required. Multichannel means the complex expansion of a sales concept that is implemented and applied on various levels – such as delivery process, order options, payment options, service, or design. Above all, the recognition value plays a major role here. When selling via several channels, a uniform design (corporate design) should be established. As a result, the customer recognizes at any time whether mobile, on the PC, or in the shop, the possibility of shopping on all channels. At the same time, it strengthens the customer’s brand awareness and can therefore be used very well on the marketing side.

 

A good sales strategy can be the door to success, but you need to open that door. Luckily, we are here to help!  Converting your business into a multi-channel business is not a complicated or expensive task.  At Xorlogics, we can help you make multi-channel retail easy and hassle-free. So, if your company is ready to take advantage of new opportunities offered by the strong growth of eCommerce, please don’t hesitate to reach out to one of our specialist IT consultants. We can’t wait to help you find success.

 

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Software Development: Why is Software Quality Control + Testing So Important?

Software development is constantly changing and becoming more and more complex. In order to keep up with this development, the ever-changing and innovative business landscape, test tools, and security requirements were further developed. Development teams are under increasing pressure not only to create quality software on a tight schedule but also to ensure that the software complies with both internal and external standards such as GDPR.

 

This also means that, as far as we know today, there are no error-free applications. Problems can arise in software development that has consequences: There is a risk that the originally planned development costs will be exceeded, leading to a delay in the development period. There is also the risk that the end product will have qualitative defects.

 

This makes quality control so important. Testing software is, without question, very important for a high-quality end product. In order to make sure the released software is safe and functions as expected, the concept of software quality was introduced. Software Quality Testing is an honest review and evaluation of software regarding its quality and compliance with the organizations/client specified requirements, expectations, and market standards. The goal is to identify and fix errors at an early stage. Software testing is not only an important part of quality assurance but also an integral part of the software development process.

In this article, we’re going to look at the major challenges encountered during software developments and how can we resolve them to deliver a quality project.

 

  • Programming standards

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Nobody wants to take the time to plan but start programming right away. It is best for the programmers to sit down, discuss important points, such as choosing the right technology, interpret customer’s needs to properly defining the purpose of the software or even write the first few lines of code together. Because if every developer interprets programming standards in his own way, there can be significant discrepancies in the end results, which means that extensive reworking is necessary. It is advisable to provide internal manuals with the programming standards and, above all, to ensure that these are actually used by the project team. This is how each party, programmer, client, service provider, etc. can save time and be productive right from the start.

 

  • Ensure clear processes

Due to a lack of planning, the exact requirements for a project are also missing. Non-transparent and inaccurate description of the processes in software development can quickly lead to uncertainty among those involved. For example, in many projects, the requirements are only formulated in writing and are not communicated correctly. This is mostly due to the lack of communication between project leaders, team leads, and managers and between the actual project formulator and the one who programs the whole thing. This makes it extremely difficult for the developer to implement the right things.

Misunderstandings can result in huge problems as a result of which errors creep in, which can only be eliminated again with increased effort and the project can be unnecessarily long. It is recommended to enable direct communication between the project formulator and the programmer.

 

  • Set priorities

It is noticeable again and again that no priorities are set with regard to the planned features, which usually means that the features are completed in the wrong order and or errors are often made, especially when it comes to the selections of technology for development. New, exciting technologies are often used but the problem arises when the manufacturer of the new technology decides on an update, then you may have to rewrite the entire code. A thing that is very time-consuming and not really practical. Additionally, only prioritized tasks should remain in the project scope.

It is crucial, but it can be a challenge to prioritize several dozens of items efficiently. A dedicated team should therefore decide in advance which work step is to be tackled first with already tried and tested technologies. It is advisable to make the decision internally and to leave the client outside. Because clients often lack an overview of which feature is particularly important for the success of the project. With prioritization, you can also keep the track of the expenses and effort do your team spends on the project activities.

 

  • Project’s delivery time

There is hardly a single project in which the timeframe of software development is respected because the time required is incorrectly estimated at the beginning of the project. Due to the new requirements made by the client during the project, but also to the fact that a developer cannot accurately assess larger projects can cause delays in project delivery.

Delivering software on time is never easy when the scope and timelines in question are significant.  To deliver software projects on time, it’s recommended to break down the assignment into smaller modules of a few days. This makes it possible to give a more precise expectation of what will be delivered and when it will be delivered.

 

  • Professional qualifications of the employees

For every project, it should be ensured that all employees involved are adequately qualified. This is especially true for very complex software projects in which many developers are involved. It is also important that the individual employees have a similar technical level in order to avoid communication problems with their team members.

Additionally, it should be avoided that the developers assigned for a project leave the company while the project is running and are replaced by other/new employees. Because if an employee leaves the company during development or changes to another project, it is extremely difficult to transfer the knowledge of a departing employee to the new developer.

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