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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

Cloud vs. On-premise: How The Cloud Operating Models can help in Covid-19 Crises

ON PERMISES VS CLOUD

The dramatic spread of COVID-19 has not only threatened lives and livelihoods but also businesses worldwide. The corona crisis has confronted companies and employees with enormous challenges and fear among staffs and other stakeholders. Organizations around the world are facing twin anxieties, for how long and how sever will the COVID19 outbreak will be and how can they prepare for a new organizational structure that can help them keep pace sustainably. In addition to technological, organizational and motivational difficulties, IT teams often had to do with the capacity limits of the solutions used.

 

The biggest challenge for organizations was to face a sudden and dramatic situation in which from one day to the next suddenly a few hundred employees were working from their home office. This rapid shift to remote work has brought on other challenges of scalability and flexibility along with effective performance measurement, management, and accountability for organizations. In this suddenly almost exclusively virtual world, a high level of scalability was required, which is more difficult or easier to achieve depending on the operating model – in your own data center or in the cloud.

 

Even before the corona crisis, it was a long debate on the “right” choice between cloud and on-premise monitoring? Several ways in which solutions can be used have occupied many decision-makers and divided their opinions. But in the midst of the COVID-19 crisis, your choice might impact your company’s long-term sustainability and profitability. Here below is the overview of different operating models and the advantages they offer to organizations.

 

Overview of Operating Models: In general, software solutions are available in two modes, on-premise and cloud-based. On one hand we have “on-premise software” that are installed locally, on a company’s own computers and servers, data center whereby maintenance, safety and updates also need to be taken care by internal employees. On the other hand, we have “Cloud-based software” that are hosted on the vendor’s servers and accessed through a web browser.

Even in cloud, companies have the choice to opt for a private or public cloud. A private cloud is not shared with any other organization. The private cloud user has the cloud to themselves. By contrast, a public cloud is a cloud service that shares computing services among different customers, even though each customer’s data and applications running in the cloud remain hidden from other cloud customers.

 

Flexera™2020 State of The Cloud Report shows that 92% of organization’s IT environment is in the cloud today, as only 8% say their total IT environment is all on-premises. 93 % of enterprises have a multi-cloud strategy versus 87 % have a hybrid cloud strategy. 59 % of respondents who answered a question about COVID-19 expect cloud use to exceed plans due to the pandemic.

 

According to the study, cloud top challenges are security, spend, governance and expertise. 83% of enterprises indicate that security is a challenge, followed by 82% for managing cloud spend and 79% for governance. On the other hand, for cloud beginners, lack of resources/expertise is the top challenge, for advanced cloud users, managing cloud spend is the top challenge.

 

Covid-19 Challenges: In order to stop the spread of coronavirus, the home office requirements are obliged by the federal and state governments. It’s a huge challenge for many companies because their IT infrastructure reached its capacity limits. In the event of unexpected growth, they are faced with an increasing need for storage and services. In addition to that, it’s difficult to predict when any contraction will occur. On one hand, the significantly increased access to corporate servers by home workers has led to problems with accessibility and connection quality for many. A flexible and short-term expansion of capacities was therefore required – which works differently depending on the type of company. On the other hand, in the event of shrinkage, the most important thing is to be able to scale down and keep a grip on costs. Thus, it’s a huge challenge for companies to make the storage strategy more flexible, scalable and responsive. A study conducted by LogicMonitor revels that 87% of global IT decision makers agree that the current COVID-19 pandemic will cause organizations to accelerate their migration to the cloud.

 

Both operating models have their advantage and inconvenient:

The advantages of operating on cloud (regardless of whether it is a public or a private cloud) are generally associated with reducing internal IT staff responsibilities as your cloud storage will be managed by third company. Their responsibilities will be limited when it comes to install new software patches or updates, security and maintenance, thus they can concentrate on other important tasks. In addition, they can access real-time reporting and analysis of data from anywhere, which is very crucial for home office during covid19 crises. Company’s online data is secured and encrypted and backed-up at regular intervals, with Cloud Computing, it’s all included in the package. To help companies keep their initial costs low, organizations regularly pay for cloud-storage on a monthly use basis. No matter if you’re scaling up or scaling down, cloud vendors can easily adjust their prices to meet your budget. A major downside of cloud is that you may lose access to your data in case of a connection outrage and can stop the productivity. Plus, you run the risk of unauthorized personnel accessing your data.

 

The advantages of operating an on-premise solution are generally related to the greater security and independency and full control of internal IT, that on-premises solutions and storage give their data.  As that organization have the full control over their hardware’s locally, upgrades can be tightly controlled. But that also means that the company is solely responsible for the configuration, operation, maintenance and security of the data center. And also, that it has to find quick solutions for changing conditions, such as in corona times, and implement every step necessary for this in-house. This requires appropriate hardware, networks, bandwidth, know-how and time resources. One of the major benefits of on-premises storage is that it doesn’t require users to have an internet connection to access data. So, the fear of losing productivity due to connection loss is non existing.

 

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Cybersecurity Trends to watch for in 2021

What are the trends for cybersecurity in 2021

The fastest-growing cyber-attacks numbers illustrate the challenge of ensuring resilience and continuity in a connected world. Additionally, the COVID19 outbreak has changed the entire situation of the economy and created confusion for businesses/industries around the globe. In order to protect the health of employees and respond to the health restrictions, companies that have never done remote work now also started working remotely.

 

Most organizations are getting better at preventing direct cyberattacks by improving the basics of cybersecurity and the main focus is on cyber resilience. With the cyber-resilient strategies in place, businesses assemble the capabilities of cybersecurity, business continuity, and enterprise resilience. These well-thought strategies help to quickly detect cyber threats and minimize the damage and continue to operate under attack.

 

The year 2020 has proven unpredictable and challenging from multiple perspectives. Among those challenges is a long list of cyber-attacks. Following the rise of remote working, cybercriminals are more than ready to seize opportunities to exploit security weaknesses for monetary and disruptive gains.

What threats are expected in 2021? How could the cyber threat landscape evolve?

 

Challenge n°1: Work from home

 

The COVID-19 has changed the work environment in unexpected ways. The obligation to socially isolate has forced innovation in how we work, as businesses and governments to maintain the continuity of operations. This resulted in a massive shift to remote work. Personal devices and home networks are being used to log in from home on business infrastructure. As increasing numbers of employees work from home with their personal devices, enterprise IT security operations become less effective and are unable to shield devices and infrastructure against any compromise and disruption through phishing campaigns, the spread of malware, faking official websites, etc.

 

A study sponsored by IBM Security and conducted by Morning Consult, interrogated 2000 working remotely Americans find out that more than 80% of respondents either rarely worked from home or not at all prior to the pandemic, and, more than half are now doing so with no new security policies to help guide them. This shift to working from home has exposed new security risks and has left nearly 50% of those employees worried about impending cyber threats in their new home office settings.

 

Many businesses will continue to suffer in 2021, because a mixed work model will establish itself sustainably in organizations, with all the risks it entails. Thus, if your company is to gain value from the remote work, your IT department must become more agile by pivoting their organizations to enable pervasive and safe remote working.

 

Challenge n°2: Automation

 

Automation is another emerging challenge in the desire to achieve high flexibility and diversity through remote working. Learning how to maintain productivity by automating activities is one of the top priorities of 2021. The primary reason for automating mundane and repeatable tasks is to allow people to shift focus to problem-solving activities. Thus, from a cyber-security point of view, automation is the only way to reduce the volume of these modern automated cyberattacks and enable faster prevention.

 

Attackers will continue to use automation to move fast and deploy new threats swiftly. Therefore, by allowing a faster risk and anomalies analyze, faster detection and intervention can be done. A next-generation security platform can assist your IT teams to rapidly analyze data, turn unknown threats into known threats, create an attack DNA, and automatically create and enforce a full set of protections through the organization to stop the attack lifecycle. Employing automation as part of your cybersecurity efforts is the only way to keep up and defending against automated threats efficiently.

 

Challenge n°3: Artificial Intelligence Threats

 

There’s been a lot of buzz around Artificial Intelligence for the past few years, and now it’s playing an important role in many sectors such as banking and financial services, logistics and transportation, retail, automotive, healthcare, education, and even cybersecurity. And it will continue to gain popularity in 2021.

 

With cyber-attacks growing both in complexity and volume, traditional methods to identify threats and malware are not enough. In a business world where customers’ privacy and data protection are vital, cybersecurity issues are becoming a day-to-day struggle for businesses around the world. With AI, cybercriminals can devote less time and effort in coordinating a large attack on an organization’s data system.

 

Companies need to sharpen the focus on a strong cybersecurity culture and adopt a risk-based approach to security. As recovering from security breaches is time and money consuming, companies have started to invest in AI to better detect and automatically block cyber attacks.

 

Challenge n°4: 5G

 

5G is an advanced wireless network technology developed based on 802.11ac IEEE wireless standard. It promises to provide significant opportunities to transform organizations across industries and geographies by providing higher data exchange speed and performance, real-time functions, and wireless connectivity to avoid the risks of wired solutions. Business communications will be enhanced and connectivity tailored to every industry.

 

However cyber threats pose great risks to businesses and industries transitioning to 5G.  As the 5G digital environment opens the door for miscellaneous players beyond traditional cellular networks that are looking to transform their ecosystem through 5G, security often falls short. It’s essential to have a 5G security reference document ready to help detect and prevent cyber-attacks. Before any transition to 5G, infrastructure, as well as industries, must be able to protect their 5G networks and be prepared at any time to deal with the impact of cyber threats.

 

 

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DMS: Intelligent Workflows Integration to Streamline your Business Processes and Increase Productivity

STREAMLINING BUSINESS PROCESS THROUGH DMS

Our everyday life is shaped by digitization. Nevertheless, numerous documents go through our hands every day in the office as at many workplaces there is still more paper in circulation than necessary. Appropriate management of company documents is extremely important to an organization. It’s a process that can be easily automated but in many cases is carried out manually. If, on the other hand, you are a Paper-less Office (mostly digital), you still have to manage documents and possibly scan, save and organize them beforehand.

 

However, in order to keep up with the rapid changes in the modern business world, companies nowadays have to rely on lean processes, transparency, and efficiency. A future-proof company cannot avoid digitization. Efficient management of documentation can allow employees to collaborate on tasks and save businesses significant amounts of money. A document management system (DMS) can make this process much easier for you so that you can concentrate fully on the business operations. Digital document management in connection with automated process management is one of the steps towards the digital transformation of your company. With a DMS you can automate your workflows, keep track of things and are no longer exposed to the risk of losing sight, stop shuffling paper and streamline your business processes.

 

Here below are some considerations that you should take into account when implementing a DMS.

 

Plan the DMS implementation:

Deciding to implement a DMS is one of the first great steps towards becoming a Paper-less Office. A well-thought strategy and planning is essential to ensure a successful implementation of DMS. Only when you know what you want to achieve with the DMS, you can pay attention to the corresponding functions and features. It is therefore essential that you get a clear picture of the company’s current situation, possible problems, new opportunities, goals, and future needs. All of these elements need to come together in order to find out the best DMS to satisfy your company’s needs.

 

Essential features package:

If your company is growing steadily, you should also consider future requirements when planning to embark on a DMS implementation project. Don’t just think about the present, but also keep an eye on tomorrow to achieve long-term gains. The following features are essential for a smooth working day:

  • Usability: Clear user interface and simple operation.
  • Digitization: Scan documents and save them in various formats such as PDF or Word.
  • Document input: Should allow inputting files through various sources such as scanner, Email, manual upload, mobile applications, web services, etc.
  • Versioning: Always use the latest version of a document and restore an older version in an emergency.
  • Full-text search: should be able to find documents quickly by allowing users to locate any word or phrase that appears in the document.
  • Automatic workflows: Self-definable forwarding and processing of documents.
  • Archiving: Safe storage of documents.

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Industry-leading document management system providers, always go beyond the basic features and provide to their customer’s innovative features and solutions that will improve their overall business productivity. So, all other features and functions are also welcome, but if they are associated with considerable additional costs and are not absolutely necessary for your business, then you shouldn’t choose them in your package. This saves you a lot of unnecessary costs and allows you to concentrate on the essentials.

 

On-site vs Off-site DMS:

When looking for a suitable DMS, you can opt for on-premise or off-premise depending on the amount of data your organizations handle. With an on-site DMS, then you can transfer gigabytes of data in a matter of seconds. On the other hand, if you are running a company that has a large number of users to manage and your investment in IT is not convincing, then you need to go for the cloud or off-site DMS. It’s also suitable if you have a work from home of off-premise working culture within your company.

You should also pay attention to integration options whether new DMS can be integrated into the company’s existing systems such as BPM, CRM, or ERP, so that there is no need for a major changeover.

 

Service of the provider:

There are a lot of DMS providers on the market, they differ with their individual user interfaces as well as with their range of functions. That’s the reason why, in addition to extensive and solid document management software, you should choose the provider that best fulfills your requirements and most importantly when it comes to DMS implementation.

A serious DMS provider should be able to provide a transparent presentation of the costs incurred, such as for setting up and maintaining the software, through to any other services that may arise. These include, for example, training courses such as:

 

  • Introduction to document management software
  • Correct handling and use of the DMS
  • Establishment of automatic workflows
  • Assistance in any undesirable emergency situation. A permanent contact person in such a case can be helpful to resolve any issue that occurred. A DMS usually works perfectly, but in an emergency, it can never hurt to have a good connection to the manufacturer.

 

If you have carefully studied the use of a DMS within your company and know what you want to implement with it, you can specifically pay attention to urgently needed functions. A right DMS accrues significant benefits to the organization. Hence it is imperative to choose the correct DMS to makes your day-to-day work easier.

If you are interested in a DMS, we would be happy to work with you on your company’s digitalization project and accompany you step by step with the introduction of a DMS in your company. We look forward to hearing from you and would be happy to answer any questions you may have.

 

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Legacy System Migration: Should IT spend its time maintaining Legacy Investments?

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Everyone knows that legacy systems are bad. Unlike wine, they don’t get better with age. These systems belong to the legacy of past generations of software. Legacy systems, which form the backbone of many enterprises, are holding organizations back from leveraging new digital technologies and creating new experiences for their customers/partners. Many developers wish that they never have to inherit these. Good luck to those who get stuck with maintaining or converting them.

 

These legacy software systems can still be found in many companies and administrations. While these systems may still meet the requirements, they were originally designed for, they are typically based on old technologies that are no longer common. Since they only partially meet today’s IT requirements, organizations keep facing poor system performance and paying high maintenance costs.

 

Legacy system migration refers to the modernization of old IT systems to a newer hardware infrastructure or software platform. In companies, the maintenance effort on IT systems is steadily increasing, thus the old systems must be transferred to a connected and up-to-date version with multi-layered architectures. For the IT team, this means an enormous challenge.

 

According to a study the global application modernization services market size is expected to grow from USD 11.4 billion in 2020 to USD 24.8 billion by 2025. Key factors of this growth are cloud services, rising demand for modern infrastructure to ensure business continuity and focus on transforming and modernizing legacy systems.

 

Another independent survey, conducted by Boomi, a Dell Technologies company, questioned 825 Enterprise Architects in the EMEA region showed how companies are modernizing ERP applications and how they are coping with the challenges that complex IT environments bring with them. While many companies used their IT budgets to maintain outdated systems in the past, significantly more funds are now flowing into modern solutions. 35% and 33% respectively of the companies surveyed stated that they use their budget to modernize their systems and to innovate. The expenses for maintaining outdated systems are reduced from 70% – 80% previously to around 34%.

 

“It’s clear that investments in modernizing applications and digital business innovations are increasing. Executives and IT decision-makers will soon recognize the advantages of these investments and further reduce expenses for the maintenance of obsolete technologies”, says Stefan Soerensen, Account Executive at Boomi.

 

The latest Boomi survey also shows that decision-makers in European companies often face a dilemma: either they invest in the costly and complex process of ERP modernization, or they are overtaken by more innovative competitors. Many organizations find it difficult to modernize or extend their legacy systems in a way that enables them to create an IT strategy that supports the quick adoption of newer technologies such as cloud, big data, IoT, and mobile.

 

Should IT spend its time maintaining legacy investments or creating new things?

 

The answer is quite simple, 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. Looking at legacy modernization, numerous advantages are associated with it become clear. Once the conversion/transformation phase is over, it becomes clear to what extent the new setup promotes efficient work, especially in logistics, purchasing and sales. This enables your company to concentrate on its core business and to implement your processes and projects even faster and better.

 

To modernize your legacy IT, it is important to have the right staff. Xorlogics supports you in every step towards the modernization of your legacy system efficiently and without risk. Reach out to our software experts to discuss the steps you can take now to avoid costly rebuilding.

 

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Business Automation & Multi-Cloud Management: Micro and Maxi trends for 2021 and Beyond

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The year 2021 is all about transformation processes, primarily resulted by the exceptional situation we’ve witnessed in 2020. As 2020 caused a major shift in how business and IT teams operate, the development around COVID-19 was and still is a great challenge for all organizations. In addition to classic customer service, IT service, in particular, is confronted with more tasks and service requests. So that the workforce can work productively and quickly, the IT service needs intelligent tools for automation. Many changes have been on the agendas of IT departments for several years and vary from micro changes that affect the big picture to maxi changes that will affect future generations of employees.

 

In this continuously changing environment, organizations are exploring new ways to operate and drive growth. Each year, Gartner, Inc. releases a series of studies mentioning trends/predictions that will impact the business environment, IT, and technology in the coming years. Here below, we’ve gathered the most relevant trends to the IT automation market to help IT, professionals.

 

“Hyper automation is irreversible and inevitable. Everything that can and should be automated will be automated.” Brian Burke, Research Vice President, Gartner

 

  • By year-end 2025, over half of the world’s population will be subject to at least one internet of behaviors (IoB) program (private, commercial or governmental).
  • By 2025, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI, up from fewer than 10% in 2020.
  • By 2025, 40% of physical experience-based businesses will improve financial results and outperform competitors by extending into paid virtual experiences.
  • By 2025, half of the large organizations will implement privacy-enhancing computation for processing data in untrusted environments and multiparty data analytics use cases. 
  • By 2024, organizations with IT teams that understand the needs of customers will outperform other organizations’ customer experience metrics by 20%.
  • 2023, 40% of all enterprise workloads will be deployed in cloud infrastructure and platform services, up from 20% in 2020.
  • By 2025, traditional computing technologies will hit a digital wall, forcing the shift to new computing paradigms such as neuromorphic computing.
  • By 2025, most cloud service platforms will provide at least some distributed cloud services that execute at the point of need.
  • By 2025, customers will be the first humans to touch more than 20% of all products and produce.
  • By 2024, organizations will lower operational costs by 30% by combining hyper-automation technologies with redesigned operational processes.
  • By 2024, 80% of hyper-automation offerings will have limited industry-specific depth mandating additional investment for IP, curated data, architecture, integration, and development.
  • By 2024, more than 70% of the large global enterprises will have over 70 concurrent hyper-automation initiatives mandating governance or facing significant instability.

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2021: Intelligent Data Management Will Enable the Future of Your Business

2021 Intelligent Data Management Will Enable the Future of Your Business

The EU’s GDPR has a major impact on the data privacy ecosystem. The regulation is an essential step to strengthen individuals’ / Business fundamental rights in the digital era we are living in. After two years of the introduction of the GDPR, the following question still arises: What will 2021 bring in terms of data management and data protection? According to Gartner, by 2023, 65% of the world’s population will have its personal data covered under some kind of modern privacy regulations.

 

It’s predicted that the technology for the preparation, control and administration of data will become much more efficient so that data is available more quickly and reliably. With the focus on foundational components of data integration, data governance, and data preparation the effectiveness of big data projects can be improved. With the right technology, data management can also drive enormous business value and support digital transformation. It’ll certainly help organizations to better manage the availability, usability, integrity, and security of their enterprise data.

 

Data has evolved over the years and will continue to evolve. Today’s organizations are data-centric; they accumulate enormous amounts of information in many different formats. Those who are unprepared to deal with the amount of data will be left behind compared to those ready to welcome all business opportunities that big data has to offer. Here below are 5 main areas that play a huge role in the good preparation of data management.

 

  • Data orchestration

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A frequently used term in the sales and marketing domain for whom data has a high priority as their data is the foundation of just about everything, they do. Simply put, data orchestration is the automation of data-driven processes that includes data preparation, making decisions based on that data, and taking actions based on those decisions. Data and API integration and data movement need to grow together to support all kinds of DataOps (data operations) methods. It’s a process that often spans across many different systems, departments, and types of data. It also requires a combination of different technologies that ensure a central data flow. This is the only way to orchestrate data-related activities – across different locations, on-premise or in the cloud.

 

  • Data discovery

In this process, relevant data insights are uncovering and transferred to the business users who need them. A comprehensive directory for searching, making available, saving, and interpreting data and other objects is becoming more and more important. Advanced Analytics enables the automation of mundane data management tasks and frees up resources to actually generate added value from the data. With the right use of data discovery tools, even the non-IT staff can easily access complex data sets and draw out the information they need. This process of knowledge discovery can be performed by anyone, without the technical know-how that was required in the past.

 

  • Data preparation

“Data preparation is one of the most difficult and time-consuming challenges facing business users of BI and data discovery tools, as well as advanced analytics platforms, Rita Sallam – Research Vice-President at Gartner.” However Artificial intelligence (AI) has solved this problem by creating the basis for advanced data transformation and by enabling automatic cleansing and consolidation of data. This enables users without any prior technical knowledge to use data.

 

  • Model management

Model Management technologies help organizations consistently and safely in developing, validating, delivering, and monitoring models that create a competitive advantage. The focus is to put the central control of all models in a single application instead of the separate management of individual models. In view of the fact that many analytical models never go into production or quickly become obsolete (model decay), it is important that companies can quickly and easily register new models, adapt, track, evaluate, publish, regulate and document them.  Previously, model management referred just to monitoring production models, but it’s beyond that. Models drive new breakthroughs and operational improvements for businesses. According to a McKinsey study, organizations that leveraged models extensively showed a 7.5% profit margin advantage over their peers, whereas those that did not use models had a 2.5% profit margin deficit compared to their peers.

 

  • Data governance

“A data governance plan, supported by effective technology, is a driving force to help document the basis for lawful processing.” Data protection laws require companies to have data governance programs that provide “data privacy by default” and define policies, roles, and responsibilities for the access, management, security, and use of personal data. If they do not proactively advance standards and programs, they not only run the risk of contradicting legal requirements but they could also lose the trust of their partners/customers. With the use of advanced analytics and artificial intelligence in decision-making, they are therefore even more challenged to bring transparency to the algorithms.

 

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5XX HTTP Error Codes: Where does the problem come from?

http-500-error

HTTP error status codes with the prefix “5” – also e.g. “500” or “502” – are server-side error codes that indicates if an internet request is successful or failed. This means there isn’t much you can do on the client side to fix the error. However, these error messages are not always clear. Specially for the “500 Internal Server Error” error message. This error message indicates that an error has occurred while connecting to the server and, therefore, the requested page could not be loaded and the server-side problem needs to be resolved before subsequent requests can succeed. Fortunately, there are different methods to find the origin of such a problem.

500 Internal server error can be caused and appear in different ways depending on different web servers, operating systems, and browsers you work with. But they all communicate the same thing. Below are just a few of the many variations that you can see on the web:

 

  • 500 Internal Server Error or simply Internal Server Error
  • HTTP 500 or HTTP 500 – Internal Server Error
  • 500 Error or HTTP Error 500
  • 500 Internal Server Error. Sorry something went wrong
  • The website cannot display the page – HTTP 500
  • Is currently unable to handle this request. HTTP ERROR 500.
  • Error 503 -service unavailable
  • Error 504 gateway timeout

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Viewing the above-mentioned server errors are not just annoying, but they can have a direct impact on sales and revenue if it’s an e-commerce website. All of these cannot be traced back to a poor connection and are caused by the remote IT infrastructure. They indicate that the server is unable to answer a particular request because it lacks information or is having problems processing it. Unfortunately, most messages are not very informative at first – they give an indication of the cause without specifying the reason or steps for a solution. Thus, a solution is difficult for the person concerned to find without preparation and under time pressure. In many cases, however, the error can either be rectified by quick and simple countermeasures or at least temporarily avoided until a comprehensive analysis of the cause has been completed. In the best-case scenario, server monitoring detects the potential danger before visitors are affected by the partial server failure.

 

In order to categorizee and to facilitate the search for a solution, the server errors are arranged in different sub-areas and often their first digit provides information about their cause. The 5 in error 500, error 502, error 503 or error 504 indicates an origin that is related to the configuration or the internal communication between individual services. It usually indicates that technical problems have occurred that prevent the server from working properly. The necessary countermeasures and the solution to this malfunction including a data backup are the responsibility of the operator and require the extended rights that only the web host has. With a few exceptions, they are not related to a visitor’s device.

 

The inaccurate information of a status message such as error 500 should in principle not be judged negatively, since every statement about a possible problem could reveal possible weak points in security. As a web host or administrator, there is also the option of viewing the corresponding logs in order to derive the origin and solution. These give exact details about the error 500 and its origin as well as necessary steps to solve the problem.

 

Because it is unspecific, it is not an easy task to find a solution to error 500 in a short period of time. In some cases, it simply refers to a temporary failure of a certain service or this responds with incomplete data, for example due to a simultaneous update. Before an intensive analysis of the situation or a radical solution such as a change in the IT infrastructure, an in-depth and repeated operational test should be carried out, in which the specified error 500 proves to be completely reproducible. Depending on the situation, the following steps are recommended as a solution:

 

  • Informe the web host
  • Restart individual services such as web, database or file servers
  • Reboot the full server
  • Analysis of the log files
  • Look for external or internal reasons for spontaneous failure
  • Checking of relevant and possible to improbable conditions during operation

In order to be able to analyse error 500 and to gain the time necessary for a solution, it makes sense in some cases to temporarily redirect the website to another server. In this way, a permanent solution can be set up and tested in a secure environment without affecting the ongoing operation and accessibility of a website.

 

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The Most Common Myths About Cybersecurity

cybersecurity

Cybersecurity issues are becoming a day-to-day struggle for businesses. cybersecurity statistics reveal a huge increase in hacked and breached data from sources in 2019. according to the Ninth Annual Cost of Cybercrime global study by Accenture, security breaches have increased over the past year with 11% and over the past five years, security breaches have increased by 67%, according to Accenture’s global survey. But even in the age of digitalization, there are still numerous myths surrounding the topic of cybersecurity. This article underlines few common myths around cybersecurity.

 

Myth 1: Nobody wants to hack me! I’m not anybody important!

Reporting on cyber attacks often gives the impression that it only hits the big ones. Small business must pay attention to cyber security and stop thinking they’re not even worth being attacked, and their size doesn’t make them the perfect target. Even those who often have fewer resources for security solutions or who are targeted by criminals in the event of mass attacks are a worthwhile goal. Hackers will be focusing to gain access to the data of SME in order to steal consumer information along with their credit card details. According to Accenture research, forty-three percent of cyberattacks are aimed at small businesses, but only 14% of them are prepared to defend themselves. Small businesses make up to 13% of the entire cyber security market, surprisingly small businesses invest less than $500 in cyber security.

 

Myth 2: Cybersecurity is only IT department’s problem

Most organizations are approaching cybersecurity totally wrong. Of course, the IT department is primarily responsible for the implementation of security standards and the implementation of protective measures. However, business leaders, either they run a small-medium company or an international corporation, they can’t just leave everything at their IT department and technology systems, instead to make a safer workplace and to protect their valuable assets, they need to make IT department work in collaboration with the rest of trained employees and give their management support to identify key risks, imagine potential threats and develop a plan for safe work environment.

 

Myth 3: My Antivirus software is enough to protect me

Your antivirus software is helpful and to fight against malicious software and viruses but they don’t stop the attack from happening. But the “threat landscape,” is changing and today’s hackers are way more sophisticated than you may think. They are finding new ways around antivirus software and to go mostly undetected to circumvent privacy. Even with antivirus software installed, you still need to be careful and wary of your online activities. Therefore, it is very important to take security measures that match your business requirements and your risk situation.

 

Myth 4: I have a Mac computer, they don’t get viruses

It’s true that Macs don’t get as much malware as PCs. However, it’s a BIG lie that they are 100% safe, they do get viruses, and beyond that, they’re getting more than ever. During the first quarter of 2019 alone Mac malware jumps more than 20% in three months, massive uptick in adware. A report from Malwarebytes claims, with detected threats up by more than 60% from the fourth quarter of 2018 to the first quarter of 2019, and adware becoming more prevalent with an increase of over 200% for the same period. The threat of malware has increased for Mac users in a short space of time.

 

Myth 5: Hacker attacks can be detected instantly

Did you know that the average time to identify a breach in 2019 was 206 days (IBM)? The average time to contain a breach was 73 days (IBM). It represents a great danger for business as longer hackers can access your systems undetected, the further they can go in their attack and cause some major damages is therefore all the more important in order to be able to react quickly in an emergency.

By conducting routine assessments and Continuous monitoring of potential vulnerabilities in your organization, you can save money, mitigate the damage of breaches, and perhaps even identify vulnerabilities before a breach takes place.

 

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How can Digital Marketing benefit from Artificial Intelligence?

AI in Digital Marketing xorlogics

 

AI is now more accessible than ever with it’s potential to change business forever. With its positive impact, and being a lot more affordable than before, both big and small companies are able to benefit from the insights and automation options it provides. With the integration of AI brands can not only leverage customer’s data but also anticipate their customer’s next move, understand sales cycles better, correlate their strategies for converting prospects into paying customers and improve the overall customer’s journey with machine learning efforts.

 

As a subset of AI, machine learning involves the analysis of historical data from various business interactions with customers / prospects (for example: when and what was the last time the customer ordered?). As ML has the ability to analyse extremely large sets of data, its being used in the digital marketing departments around the globe to identify sales patterns and increase success factors. Algorithms for ML generate insights via predictive analytics, based on these insights, marketers can either take actions individually or automate AI to do the job. For example, they can automate emails that are aimed at re-targeting your audience, giving you a better chance of a higher ROI.

 

ML is also playing a major role in SEO. Even tough SEO algorithms change across major search platforms, with AL and ML tools, the insights from searchable content may become more relevant than specific keywords in the search process. In order to maintain a high-ranking place on search engine result pages, consider the quality of your content rather than simply the keywords included. By doing so, you’ll be ahead of the game when it comes to future-forward content creation and SEO.

Marketers can also benefit from ML tools to analyse what type of content, keywords, and phrases are most relevant to your desired audience. Once they have the key insight, they can optimize their dialogue and develop engagement across multiple online platforms, to drive brand awareness and create meaningful relationships with leads, prospects, and customers alike

 

The key difference between modern AI-based and traditional outbound marketing strategies is the integration of contextual data, i.e. information that results from the interaction with the customer is not stored in labour-intensive and time-consuming data warehouses but is available in real time and can be used for decision-making. With these customer profiles and interests recorded in parallel to the interaction, the previously defined decision strategies are fed in order to achieve high planning security for high, profitable conversion rates.

 

Artificial intelligence opens up possibilities in marketing domain far beyond currently available functions. PwC estimates that business could save $2 trillion globally by applying intelligent automation to many activities that were previously processed by humans and making employees more productive. In addition to that, AI, robotics and other forms of smart automation will bring great economic benefits and contribute up to $15 trillion to global GDP by 2030.

 

With AI integrated marketing, business can forecast customer behaviour and run data-based campaigns to have remarkable results. It helps them to save a lot of money on marketing and sales efforts by bringing them valuable leads. Not only business can achieve valuable leads and turn them into customers but they can also maintain a good relation and provide a better service to these customers by introducing a 24/7 customer service with the help of AI equipped chatbots. These chatbots are able to handle customer enquiries and provide customer support on time and appropriately, based on the needs of customers. Business are creating value through transforming customer journeys by providing immediate response to consumer’s queries or issues. According to McKinney’s study, 75% of customer demand NOW service within 5 minutes of online contact. If business can beat this time, they can convert a ‘visitor’ into a ‘paying’ customer.

Here below are some interesting statistics of AI in marketing:

 

  • According to research from Callcredit, 5 hours and 36 minutes is the amount of time that the average marketing professional spends collating data and getting it ready for presentation. An AI integrated marketing dashboard can do the collating in minutes and give you more time for reporting process. Statwolf
  • 97% of leaders believe that the future of marketing lies in the ways that digital marketers work alongside machine-learning based tools. QuanticMind
  • By 2020, 30% of companies worldwide will be using AI in at least one of their sales processes. Gartner
  • By 2020, 85% of customer interactions will be handled without a human. Gartner
  • For 61% of marketers AI is the most important aspect of their data strategy. MeMSQL
  • 80% of business and tech leaders say AI already boosts productivity. Narrative Science
  • When AI is present, 49% of consumers are willing to shop more frequently while 34% will spend more money. PointSource
  • Large businesses with more than 100,000 employees are most likely to have an AI strategy – but only 50% of them currently have one. MIT Sloan Management Review
  • Netflix is saving $1 billion per year by using machine learning to make personalised recommendations- Artelliq
  • 44% of consumers don’t even realise they’re already using AI-powered technology platforms. Pega
  • 45% of end users prefer chatbots as the primary mode of communication for customer service inquiries. Grand View Research

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The ways that ML is being used in digital marketing practices helps organizations to expand their understanding of their target consumers and how they can optimize their interactions with them.  So, when developing appropriate AI applications for marketing purpose, the collaboration between software developers and domain expert’s must not be neglected. The ultimate decision-making competence when it comes to the all-important question of which next best actions are to be implemented in order to achieve the greatest possible marketing success usually belongs to the domain experts. You should have the experience and expertise to incorporate the right NBAs into the self-learning models for decision-making strategies.

 

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