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About Aisha Javed

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

Covid19: Evolution of the Digital Transformation within companies

Covid19 Evolution of the Digital Transformation within companies

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

 

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

 

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

 

Skill shortage:

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

 

 

Legacy systems

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

 

Limited resources

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

 

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

 

Sources:

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Financial Challenges of an Ever-Growing Multi-Cloud Adoption

Financial Challenge of an Ever Growing Multi-Cloud Adoption

The multi-cloud approach is increasingly gaining ground. However, the path to the multi-cloud must be accompanied by a reconsideration in the planning of IT budgets. Otherwise, the benefits of the multi-cloud cannot be fully exploited.

According to the Flexera 2021 State of the Cloud Report, today, 92 percent of organizations have a multi-cloud strategy in place or underway, and 82% of large enterprises have adopted a hybrid cloud infrastructure. On average, organizations are using 2.6 public and 2.7 private clouds. . The main reason for this development is the greater flexibility that the multi-cloud offers. It gives companies the opportunity to choose the optimal solution. Because only one cloud solution isn’t suitable for all requirements of a company. In the multi-cloud, multiple cloud services can be grouped together in a single cloud. It is possible to combine several public cloud solutions as well as a private cloud with public cloud models. However, the user sees the combination of multiple cloud services and platforms as one big cloud.

 

The flexibility of IT is crucial for companies that digitize their business models and processes. After all, IT is expected to help shape change in an agile, flexible, and cost-effective manner. This includes being able to respond quickly to changes, scale services as needed, support innovation, streamline business processes and ensure that security, compliance, and privacy requirements are met.

 

Challenge: Budget flexibility

In addition to the numerous organizational and technical challenges that come along with the implementation of a multi-cloud approach, the budget model is a drag on business that should not be underestimated. Traditionally, the IT budget for investments -CAPEX- and operational expenses -OPEX- is planned. In the past, there was always a need to increase investment costs when IT was changing. As servers and software were purchased, companies only paid attention to their CAPEX costs and by contrast, the operating costs budget has been kept low, if not cut, annually. This is changing in the world of the cloud. Because cloud costs are OPEX costs.

 

Challenge: Change of budget models

While IT departments are adapting to the demands of digitization, budget models have not yet been revised in most companies. Strategic modernization needs flexible budgets and a shift to more OPEX models. For many IT managers, this represents a big challenge, because a reduction in the investment budget isn’t accompanied by a reduction in the overall budget. Instead, the goal is to create more cost-effective IT without the need for regular CAPEX investments to update tools and systems. Only with a sufficient OPEX budget, IT can meet the expectations of any company sufficiently.

 

Step-by-step and well-orchestrated

No company will completely change its budget model from one day to the next. Nevertheless, the change of the budget approach can succeed if for example, year by year, a certain percentage of the CAPEX budget is added to the OPEX budget. However, good planning and comprehensive management of the multi-cloud are necessary. Logically, budgeting and flexibilization continue to be accompanied by the expectation that this budget will be used efficiently by IT. This means that those responsible must also be in control of the disadvantages of the multi-cloud, such as:

 

  • Increasing complexity and higher administration due to the higher number of providers.
  • Excessive error rate due to the increasing number of interfaces.
  • Not a single privacy and security approach because different vendors typically apply different concepts.
  • Difficulties in complying with license terms as different vendors have different licensing models.

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Support by multi-cloud experts

To successfully manage the jungle of solutions, licensing models, and security concepts, a 360-degree view of the multi-cloud is needed. As more and more businesses choose Matrix42, for example, they offer multiple, coordinated solutions, while at the same time providing the ability to leverage other cloud solutions, as well as the private cloud, to ensure full control of the entire system.

 

The multi-cloud opens up many opportunities but also brings with it many challenges. Professional advice and support help to make the most of the advantages of the multi-cloud. That’s where Xorlorgics comes in to guide you step by step in your cloud adoption journey. Feel free to contact us with any questions you might have for your cloud project.

 

Sources:

Cloud Computing Trends: 2021 State of the Cloud Report

IBM Study: Using only a single cloud provider is not enough for the majority of Surveyed Companies

According to the results of a recent global study by IBM on cloud transformation, Cloud’s next leap, business needs have changed dramatically. Mainly the results of the study indicate that the cloud market has entered the era of the hybrid multi-cloud. Almost 7,200 C-Suite executives from 28 industries and 47 countries were surveyed and only two percent of respondents said they would use a single private or public cloud in 2021, compared to 16% percent in 2019. Such a shift is motivated by the big wave of innovation in cloud-driven business transformation & cloud bursting. On the other hand, concerns about vendor loyalty, security, compliance, and interoperability still prevail.

 

Using cloud to execute digital plays

Highlights

 

  • Cyber ​​threats are higher than ever due to the complexity of infrastructures. You more than a third of respondents said that improving cybersecurity and reducing security risks are not their biggest business and IT investments. At the same time, 80% of respondents stated that embedding data security in the cloud architecture is in most cases important or extremely important for successful digital initiatives.

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  • Almost 79 % of respondents stated that it is extremely important for the success of their digital initiatives that the workloads are completely portable and that there is no vendor connection. For almost 69 % of those surveyed, provider loyalty is a major obstacle to improving business performance in most or all areas of their cloud infrastructure.
  • Nearly 70 percent of respondents in the government and financial services sectors see compliance with industry-specific legal requirements as an obstacle to the business performance of their cloud infrastructure. “At the beginning of their cloud journey, most companies tried different clouds for less critical things or innovation projects without any controls or integrated security concepts. This fragmented architecture can create complexities that can get out of control and open the company to major security threats,” said David Faller, Technical Executive, IBM Cloud DACH.
    “A company’s security must be designed with a single point of control that provides a holistic view of threats and reduces complexity. Security, governance, and compliance tools must be deployed across multiple clouds, and data security must be embedded across the cloud architecture for digital initiatives to be successful”.

The study also found that companies need to evaluate the use of the cloud in terms of adoption, speed, migration and cost-saving opportunities. Further recommendations for companies are:

 

  • Focus on Security and Privacy – Determine where your sensitive workloads are and see who holds access to those workloads. Regularly test whether the security controls and data protection guidelines are being adhered to, but also whether incorrectly configured systems and software weaknesses are being remedied immediately.
  • An inventory of the IT environment must be performed in order to decide which workloads & applications in the cloud are most beneficial and which are best-left on-premises. Also analyse workloads with AI-powered tools and best practices to determine where and how to use them in the right place and for the right reasons.
  • Identify the right team – employ an interdisciplinary team of people who rethink how your company creates value for your customers.

 

Sources:

 

Cloud’s next leap – How to create transformational business value: Study undertaken by the IBM Institute for Business Value (IBV) in partnership with Oxford Economics, surveying close to 7,200 C-suite executives from 28 industries and 47 countries.

Digital Transformation & Multi-Cloud Adoption

The use of the cloud is increasing as it makes companies fit for the future by making them more competitive. In 2021, 90 percent of respondents from large enterprises indicated having already adopted multi-cloud. The global Cloud Managed Services (CMS) market size is also projected to grow from USD 62.4 billion in 2020 to USD 116.2 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 13.3% during the forecast period.

 

According to David Tapper, IDC Program Vice President for Outsourcing and MCS, MCS providers would have to invest in sustainable offerings, create a business operations center, integrate an intelligent, uniform multi-cloud management platform, and create a robust governance model as well as laboratories for cloud Build platforms.

Digital Transformation Multi-Cloud Adoption

The use of the Multi-Cloud is increasing

 

In the wake of the pandemic, the use of the Cloud has rocketed. The topic of hybrid and multi-Cloud is gaining momentum in companies all around the world. More and more companies are now using public cloud functions as well as innovative technologies and processes (IoT, edge computing, blockchain) and multi-cloud management platforms to support their future cloud strategies and ensure the resilience of the company – IDC. The multi-cloud is characterized by the fact that different cloud variants from different providers can be combined at the same time, such as a private cloud from one provider in combination with a public cloud from another provider or several public clouds from different providers. In this way, the different cloud resources can be used for the same or different workloads according to individual needs, requirements, and strategies.

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Multi-cloud deployment offers an ideal basis for optimally meeting the increasing demands on dynamic and flexible IT. The trend towards IoT and Big Data is also leading to changes in existing structures, for example in order to solve problems for which a single cloud solution is no longer sufficient. Due to the combination of different infrastructures, platforms, and services, multi-cloud solutions offer higher performance and speed, because depending on the requirements of the workload, suitable and compatible cloud services can be used that other providers may not support.

 

Companies use multi-cloud to create more agile IT, generate new sales, and improve the customer experience. Users remain flexible and independent of the provider. In addition, a multi-cloud approach can also be used to optimize costs, consolidate digitalization projects and increase availability and reliability. However, if companies use cloud services from different providers, the integration and management are much more complex, because migration is not the only challenge. The management of such networked cloud environments is by no means trivial. Many companies are already faced with the first challenges when planning the right multi-cloud strategy. They are also concerned about the guarantee of service level agreements (SLA, framework agreement between client and service provider for recurring services) and security.

 

If you want to benefit from the advantages of a well-designed cloud platform, from flexible resources to reduced costs and meeting all governance and compliance regulations, we are here to help! Our Cloud-based Project Management experts can help you complete your projects faster and take your business to the next level.

From RPA to Intelligent Automation

RPA Intelligent Automation

 

RPA – Robotic Process Automation is changing the way companies operate around the world. The global RPA market was worth $271 million in 2016, and in 2020 that number hit $2.5 billion, an enormous increase by any metric. By mimicking structured, repetitive, and rule-based processes and tasks that are carried out by employees, this innovative technology shows its strengths. This ability can be used in many business processes in various sectors. Along with the increasing spread of RPA, the integration of artificial intelligence (AI) into the corresponding RPA software offerings is also increasing. More and more processes can be automated and transformed. Intelligent automation promises more insights, financial benefits, customer experiences, and higher business value.

 

The two types of process automation: fully automated and partially automated

 

In robot-based process automation, a distinction is made between partially automated solutions on the one hand and fully automated solutions on the other. In general, the idea behind RPA is that the robots work through the processes independently so that there is as little human interaction as necessary.

 

  • Fully automated processes (unattended automation)

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With fully automated processes, the robot works completely independently without the need for human intervention or, depending on the scenario or context, only necessary in exceptional cases. The software robot carries out transaction-based activities and processes on a large scale fully automatically without human interaction, even if the employee is logged off from the system. This type of automation is often used for back-office systems when it comes to collecting, sorting, analyzing, and distributing large amounts of data to specific employees within an organization.

 

  • Partly automated processes (unattended automation)

With partial automation, the focus is on bot/human interaction in processes. In partially automated processes, the robot reacts like a digital assistant to the employee by taking on certain homogeneous tasks. His work is triggered by certain events, actions, or commands that an employee executes in a certain workflow. While full automation concentrates on independent processing with little human intervention, the idea behind partial automation is a cooperation with the employee, in which human actions are supported by smaller automated processes.

 

 

Intelligent automation for competitive business results

 

Leading RPA software providers are continuously working to make their solutions smarter. While conventional RPA technologies often require rule-based processes and therefore do not need to make decisions based on their own judgment, intelligent automation, a combination of AI and RPA, opens up completely new possibilities: Virtual robots or bots monitor transaction processing, take notes if necessary, draw conclusions and make predictions. You can even refine the process execution approach based on insights.

 

Many RPA vendors have invested heavily in developing native solutions in their workflow design modules for bots, and have partnered with other leading technology companies. In this way, they can offer numerous innovative functions for processes that can be automated using RPA – while increasing the potential for added value at the same time. For example, some existing manual processes require reading an email or a poorly scanned PDF document and performing certain actions based on the content – or inserting extracted data into a data visualization tool and predictive or prescriptive analysis. In such cases, the use of natural language processing, computer vision, intelligent optical character recognition, or even data analysis and visualization tools may be necessary. All of this is available through the leading intelligent RPA tools. Another application example: Intelligent automation detects anomalies by virtual robots reviewing large data sets of payments, invoices, medical records, or customer feedback and identifying outliers, patterns, or topics that ultimately influence decision-making.

 

Many executives are well aware of the benefits of intelligent automation and how it can be integrated into their business transformation. These intelligent systems can detect and produce vast amount of information and can automate entire processes or workflows while self-learning and adapting. Companies that are looking to implement an RPA program should think ahead and choose an RPA platform that offers cognitive capabilities, reusable elements, and comprehensive libraries that are compatible with multiple applications.

While some companies struggled with their investments in the past year, the COVID-19 pandemic has further increased the demand for strong RPA resources as part of the digitization of processes.
Companies moving from traditional RPA to intelligent automation implementations have normalized the optimization and standardization of processes and strengthened the collaboration between IT and business. Instead of concentrating on the automation of various routine tasks, an intelligent solution enables the use of bots for end-to-end business processes and the identification of automation candidates through task or process mining. In doing so, the appropriate solutions are able to understand the data read and improve their own performance over time.

 

RPA can accelerate digital transformation. However, the real future lies in intelligent automation. As RPA providers expand their native AI offerings and the integration of technology partnerships progresses, digital team members will be able to execute increasingly complex processes – which further increases the value of intelligent automation. Therefore, companies need to review all their options before implementing the right technology that can improve their overall operational efficiency and take their business performances to the next level.

 

Sources:

The Next Generation Intelligent IT Infrastructure

 

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

 

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

 

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

 

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

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

 

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

 

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

 

Sources:

Accenture: Intelligence unlocks vision

#WebApplication and their benefits

Do you still install software on your computers to check your email, your bank accounts or just to chat with your friends? Most of us don’t even think about it. Why?  Because now we use so frequently web apps for just about everything we do online. One may not necessarily realize it because the interface on our computer (=our web browser) remains the same.

 

Over the past decade, many businesses welcomed web with open arms to facilitate and exchange communication with prospects and existing clients. Billing, Customer relationship management, Project management, Accountancy, HR consulting… Your business, whether large or medium, needs solutions for all these daily operations.  A web application can be a place for shopping (online store, large online shopping site like Amazon), social networks (Facebook, twitter), a billing or online accounting tool, or a real time content management (MS Office), a search engine (Google), Recruitment sites (BrightOwl, LinkedIn) … These web apps can handle financial transactions, research or adding content by users, basically allows to do everything and can be really easy to use for the user.

 

Let’s now have a look on the advantages a customized web application or solution can offer to a business:

 

    • Without being disrespectful to success full but old fashion Software vendors, their tools aren’t able to satisfy all possible needs of users. As an off-the-shelf software user, you’ll have to pay for a range of features you won’t necessarily need or ever use. On the other hand, a web application is much more flexible. Unlike the software, it is custom made and the working process is simplified.

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    • Independent of geographic location, or a hardware or operating system, thanks to the online mode, applications offer the advantages of absolute mobility. As a web application is not installed on your computer it’s accessible from any web browser, any device with an internet connection. You just have to log in via a login and a password. Your entire team can use the web application. They only have to connect to the application via their web browser. And the tool will be available worldwide 24h / 24.

 

    • The development of such an application is also quite affordable, much more than the purchase of software for any business. As the Application / software is built to suit your needs, it’ll just cost you the price for the features that are essential. The reason that you pay a bit extra for tools is to fulfill your company user needs to the last millimeter. In addition, they have no limitations. Everything is possible and imaginable.

 

    • Your application will be scalable. It can adopt new features according to your needs, add, remove modules … And for that, you do not have to do updates on each computer. Everything is outsourced. The agency that designed it may make updates and maintenance from distance. Your whole team together and instantly benefit without having to apply any computer help.

 

    • Another big advantage is that you get a centralization of your data. No one has to worry about who did what and when. All information will be found in one place. Managing data between users is simplified and optimized.

 

    • Concerning security level, the risk of losing everything if your computers crash is equal to zero. As your data can be hosted on a dedicated server completely, automatic backups are made and housed in large data centers with well on confidentiality. Data access are controlled only by identification and certificates

 

 

With a proven experience in various fields such as, Recruitment Management tool, Transport logistics tools, CRM, Xorlogics can help you translate your business requirements into custom designed Applications. Each custom built application can provide functionality that perfectly fulfill the needs of users. Each tool is modular and designed to evolve to new strategic needs and issues. So don’t hesitate to fill this form to discuss your project with our experts!

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.

 

The role of Data Modelling & Prediction for Business Transformation

The role of Data Modelling & Prediction for Business Transformation

IT teams in small and medium-sized companies struggle with budget constraints and a shortage of skilled workers. When the demand for IT services increases, they are heavily overloaded and look for ways to increase efficiency. Additionally, organizations are reaching a point where their data storage and computing are unable to keep up with the growth of data and technological advancements.

 

As data, a critical asset for organizations continues to rise exponentially, business executives around the world are heavily investing in IT automation. Also, the digital transformation is pushing the boundaries, enticing businesses entities to invest in technologies that can predict possible outcomes, and to gain a competitive advantage. One of the emerging and appealing technology that businesses can benefit from in many ways is Predictive analytics. By definition, predictive analytics is a mathematical principle that uses algorithms and artificial intelligence (AI) to derive probabilities from historical and current data. It is currently one of the most important big data trends. The predictive analysis leverages statistical techniques such as predictive data modeling, machine learning, and even artificial intelligence to uncover patterns in big data.  It helps organizations to make data-driven decisions and get useful, business insights that can help them increase company profit.

 

It is a process that uses data mining and probability calculations to predict results. It includes the collection, analysis, and interpretation of data from various operational sources. The method uses structured and unstructured data, for example from internal and external IT systems (big data/data mining). Predictive Analytics collects this information using text mining, among other things, and combines it with elements of simulation processes. Thanks to machine learning, the algorithms automatically draw findings from their own data processing and use this as a basis to automatically develop predictions. The aim is to predict complex economic relationships and future developments based on the analysis of the existing data in order to make better decisions and gain a competitive advantage. Each model consists of a number of predictors, which are variables that can influence future results.

 
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The underlying software has become more accessible and user-friendly over time thanks to user interfaces that are suitable for specific departments. The goal is to identify trends, announce disruptive industry changes, and enable more data-driven decision-making. Such predictions serve to optimize the use of resources, save time and reduce costs. Optimized timelines for the introduction of new products or services can also be created. The models developed in the process are intended to help achieve or support the goals set.

 

Any area in which data is being collected is suitable for predictive analysis as there are many uses for it. These include detecting data misuse, improving cybersecurity, optimizing marketing programs, and improving business processes. Predictive analysis can use adaptive algorithms to examine systems, applications, and network performance by allowing companies to take a more proactive approach to IT operations management. With this technology, IT security experts can identify potential vulnerabilities, determine the likelihood of cyber-attacks and work on improving the company’s security structure.

 

Adapting to advanced analytics will allow your organization to stay on top. Just as technology is constantly innovating, so should companies adapt. Predictive analytics focuses on improving profitability, productivity and reducing costs through process optimization.

Do you have areas of the company in which you want to improve prediction/reporting?  If you answered yes, please contact us directly, our experts will gladly support you.

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.

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