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Unlock Your Business Potential Through Marketing Software Development

Poynter Manuel — Tue, 12 Sep 2023 13:35:09 +0000

In the ever-evolving landscape of business, where competition is as fierce as a tempest and innovation is the compass guiding success, one cannot underestimate the significance of marketing software development. This digital alchemy, a fusion of art and science, holds the key to unleashing the dormant potential within businesses, transforming them from mere entities into thriving, dynamic ecosystems. As we embark on this voyage through the uncharted waters of marketing software development, we will uncover the rare gems of knowledge, sailing past the mundane and into the extraordinary.

The Nexus of Innovation

At the heart of every forward-thinking enterprise lies innovation, an elusive muse that requires nurturing and taming. Marketing software development serves as the enchantress, conjuring a tapestry of unprecedented ideas and strategies that captivate audiences. The synergy between creativity and technology emerges as a vortex of unparalleled potential.

Picture this: AI-driven algorithms sculpting bespoke marketing campaigns that resonate with each individual customer’s unique preferences and behaviors. It’s like an artist crafting a masterpiece, but instead of canvas and brush, we wield lines of code and machine learning models. This avant-garde approach transcends the conventional boundaries of marketing, providing businesses with an instrument to harmonize with their target demographic.

The Orchestra of Data Analytics

In the grand symphony of marketing software development, data analytics takes center stage as the virtuoso. Traditional marketing relied on broad strokes and assumptions, but the digital age demands a more refined approach. Enter data analytics, the maestro behind the scenes, dissecting and interpreting vast data sets with surgical precision.

However, it’s not merely about collecting data; it’s about understanding its nuances. Unstructured data, the overlooked treasure trove, often eludes traditional analysis. By deploying Natural Language Processing (NLP) and sentiment analysis, businesses can tap into the emotions and sentiments concealed within customer feedback, reviews, and social media chatter. This sentiment-aware approach empowers businesses to tailor their strategies in alignment with the collective pulse of their audience.

Moreover, predictive analytics casts a crystal ball into the future, revealing trends and customer preferences before they materialize. Imagine anticipating market fluctuations and consumer desires with such precision that your business always remains one step ahead. This is the arcane art of marketing software development, where data transforms into insight, and insight into power.

Blockchain: The Sentinel of Trust

In an era marred by digital fraud and data breaches, trust is the most precious currency. Enter blockchain, the sentinel of trust, as an unconventional yet potent tool within marketing software development.

Blockchain’s immutable ledger safeguards the integrity of customer data and transactions. Imagine a world where consumers can trust businesses implicitly, knowing that their personal information is inviolable. This trust, once established, becomes the cornerstone upon which long-lasting customer relationships are built. It’s a paradigm shift where transparency and security reign supreme.

Moreover, blockchain introduces the concept of smart contracts, enabling businesses to automate various marketing processes with unparalleled precision. These self-executing contracts operate autonomously when predefined conditions are met, eliminating the need for intermediaries and reducing the margin for error. It’s akin to an orchestra playing in perfect harmony, with each instrument following a meticulously composed score.

Quantum Computing: The Final Frontier

As we delve deeper into the arcane realm of marketing software development, we encounter the final frontier: quantum computing. While still in its infancy, quantum computing promises to revolutionize the way businesses approach marketing.

Traditional computers rely on binary bits, represented as 0s and 1s. Quantum computers, on the other hand, harness the peculiar properties of quantum bits or qubits. This quantum leap in computing power enables us to tackle complex marketing challenges that were once insurmountable.

Imagine a quantum-powered algorithm that optimizes marketing campaigns in real-time, adjusting strategies based on a quantum-derived understanding of consumer behavior. It’s akin to having a superintelligent conductor guiding the orchestra with an uncanny sense of the audience’s mood, tempo, and preferences.

The Ethereal Future of Marketing Software Development

In the grand tapestry of business, marketing software development emerges as the invisible weaver, stitching together the threads of innovation, data analytics, blockchain, and quantum computing. The result is an ethereal symphony that transcends the ordinary and propels businesses into the extraordinary.

As we gaze into the crystal ball of the future, we see marketing software development evolving further, blurring the lines between technology and art. Virtual reality (VR) and augmented reality (AR) experiences will become integral to marketing, immersing consumers in interactive brand narratives. Imagine walking through a virtual store, examining products, and interacting with sales representatives—all from the comfort of your living room.

Furthermore, the fusion of biometric data and marketing software development will usher in a new era of personalization. Businesses will harness biometric signals such as heart rate, pupil dilation, and facial expressions to gauge consumer reactions in real-time, tailoring marketing content to evoke desired emotional responses.

In conclusion, the journey through the esoteric realm of marketing software development unveils a world where innovation knows no bounds, data becomes a symphony, blockchain guards trust, quantum computing defies limitations, and the future is ethereal. The businesses that dare to embrace this arcane art will unlock their potential and stand as luminous beacons in the sea of competition, guiding the way to a new era of marketing excellence.

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Explore the Exciting Trends in Machine Learning and Stay Ahead of the Curve!

Poynter Manuel — Wed, 07 Jun 2023 13:55:47 +0000

The world of technology is constantly evolving and changing, and as it does, so too do the trends in machine learning. Machine learning is becoming increasingly popular as a way to automate processes and streamline tasks, and organizations everywhere are beginning to take advantage of its benefits. In this blog post, we’ll explore the exciting trends in machine learning and why staying ahead of the curve is so important.

Introduction to Machine Learning

Machine learning, a branch of artificial intelligence (AI), has revolutionized the way computers process information. By harnessing the power of data, identifying patterns, and making predictions, machine learning enables automated decision-making without explicit programming. This transformative technology finds extensive applications across various industries, empowering businesses, researchers, and scientists to streamline operations, uncover trends, and gain a competitive edge.

Staying abreast of the latest trends in machine learning is crucial in today’s dynamic landscape. As the demand for this field continues to soar, organizations and businesses must keep pace to unlock its full potential.

What is Machine Learning?

Machine learning, a subset of artificial intelligence (AI), encompasses the use of algorithms to acquire knowledge from data and identify patterns, enabling computers to make decisions without explicit programming. Its applications span a wide array of domains, including automating customer service procedures and forecasting sales outcomes. Machine learning has garnered significant attention across various industries, including healthcare and finance, for its transformative potential.

Machine learning algorithms can be classified into two primary categories: supervised and unsupervised. Supervised algorithms are employed for prediction purposes, while unsupervised algorithms focus on recognizing patterns and anomalies within datasets.

Types of Machine Learning

The realm of machine learning comprises various algorithms, each possessing distinct strengths and weaknesses. Here are some of the most prevalent types of machine learning algorithms:

Supervised learning: These algorithms make predictions by utilizing labeled data. By learning patterns from the provided data, they can predict outcomes for future data points.
Unsupervised learning: These algorithms operate on unlabeled data to identify patterns and anomalies. They uncover hidden structures, clusters, and outliers in the data, aiding in data exploration and gaining insights.
Reinforcement learning: Reinforcement learning algorithms aim to find optimal solutions to problems through continuous interaction with an environment. They receive feedback in the form of rewards or penalties, enabling them to learn and adapt their behavior to maximize rewards.
Neural networks: Neural networks, inspired by the human brain’s structure, excel in data classification tasks. Comprising interconnected layers of artificial neurons, they can recognize intricate patterns and relationships in data, making them particularly effective for image and speech recognition.

These algorithms represent a fraction of the vast landscape of machine learning. Each type plays a vital role in different applications and problem domains.

The Growing Demand for Machine Learning

The demand for machine learning is growing rapidly. According to a survey by Deloitte, the demand for machine learning experts is expected to increase by nearly 50% by 2020. This is due to the increasing number of applications for machine learning, such as image recognition and natural language processing.

The demand for machine learning experts is also driven by the need for organizations to stay competitive. As machine learning becomes more popular, organizations need to stay ahead of the curve in order to stay competitive.

The Benefits of Machine Learning

Machine learning provides numerous benefits to businesses and organizations. One of its most notable advantages is automation, enabling machine learning algorithms to take over repetitive tasks and free up human resources for more complex and strategic endeavors. By automating such tasks, organizations can enhance efficiency and productivity.
Another significant benefit of machine learning is its ability to uncover patterns and trends that may not be readily apparent to humans. By detecting these hidden insights, machine learning algorithms can improve decision-making processes and enhance accuracy in various domains, leading to better outcomes.
Moreover, machine learning can yield substantial cost savings for organizations. Through task automation and reduced reliance on manual labor, businesses can optimize resource allocation and streamline operations, resulting in reduced expenses and improved cost-efficiency.
Furthermore, machine learning contributes to an enhanced customer experience. By leveraging personalized and accurate customer service, organizations can provide tailored recommendations, assistance, and support, fostering increased customer satisfaction and loyalty.
In summary, machine learning offers automation, increased accuracy, cost savings, and improved customer experiences, all of which can contribute to the growth and success of businesses and organizations.

Machine Learning Algorithms

There are various machine learning algorithms that are used for different applications. Here are some of the most commonly used ones:
Decision Trees: Used to classify data points into different categories by using a series of questions.
Support Vector Machines: Used to classify data points and identify the boundaries between different classes of data points.
Naive Bayes: A classification algorithm that uses probability to make predictions about data points.
K-means clustering: Used for clustering, it identifies clusters of data points and assigns them to different categories.

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Top 20 Mobile App Development Companies in 2023

Poynter Manuel — Tue, 11 Apr 2023 13:38:18 +0000

Mobile apps have become a staple for any business, from retail to healthcare. Going digital can open up new opportunities for growth and provide a plethora of benefits, such as an additional communication channel, improved customer loyalty, increased recognition, and enhanced brand visibility. To demonstrate the importance of being mobile-first, here are some statistics: 83.07% of the world’s population are active smartphone users, by 2026, that number is expected to reach 7,690 billion, and the revenue from mobile app downloads and in-app purchases is projected to reach $613 billion by 2025. Therefore, creating a custom mobile app in 2023 is the key to furthering the success of your business.

You may be wondering how to develop your app. One option is to outsource the process to a third-party company. There are thousands of software development outsourcing companies available, which can make choosing the right one a challenge. To make the selection process easier, we have compiled a list of the top 20 mobile app development companies for 2023. This will help you find the best outsourcing partner for your needs.

Hedgehog lab

Founded in 2007, Hedgehog Lab is a digital consultancy agency specializing in building mobile and web solutions for businesses. With a team of ~90 employees, the company offers services to key clients like Toyota, Lloyds Bank, Deliveroo, Standard Life Aberdeen, and TESCO Bank. Hedgehog Lab is known for their expertise in multiple industries, including Health & Wellness, FinTech, Retail, Travel, Automotive, and others. Additionally, the agency has a 4.7 rating on Clutch and was recognized by Financial Times as one of Europe’s fastest-growing companies in 2020.

Hedgehog Lab is committed to helping businesses realize their goals by creating innovative solutions that are tailored to their needs. They understand the importance of staying up-to-date with the latest technologies, such as Artificial Intelligence and Virtual, Augmented, and Mixed Reality, and use them to bring their clients’ ideas to life. Minimum project size for Hedgehog Lab is $100,000+ with hourly rates between $100 – $149. The agency has offices in the UK and US.

Fueled

Fueled is a mobile and web app development agency founded in 2007 with ~140 employees. They specialize in eCommerce, Social Media, FinTech, Lifestyle, and other industries. Their minimum project size is $75,000+, with hourly rates ranging from $150 to $199. Fueled has offices in the US and UK and works with high-profile clients such as MGM Resorts International, 9Gag, Harvard, Rite Aid, Verizon, Crunchbase, and QuizUp. With a 4.8 rating on Clutch, Fueled helps clients design and build mobile apps and websites and develop native or cross-platform apps for iOS and Android. Fueled also builds complex business solutions such as ERP, POS, and CRM and has won awards from Webbys, Hive, and W3.

STRV

STRV is a leading software development agency founded in 2004 with offices in the US and the Czech Republic. They have around 250 employees and specialize in building native and cross-platform mobile apps and progressive web apps. Their minimum project size is $100,000+, with hourly rates ranging from $100 to $149. Their key clients include Microsoft, The Athletic, ClassDojo, Hallmark, Barry’s, MedMen, and Opkix. Additionally, they boast expertise in Education, Social Media, eCommerce, Lifestyle, Legal, and other industries. Their rating on Clutch is 4.8. Over 25 apps developed by STRV have been featured as top apps across app stores, and their designers have earned 20+ design awards in the past few years. STRV is able to handle technical requests of any complexity and covers all stages of software development, from discovery to product launch and maintenance. Utilizing a “partner-to-partner” approach, they have 19 years of outsourcing experience and were recognized by Financial Times 1000 and Deloitte Fast 50 as one of the fastest-growing technology companies in Europe.

ArcTouch

ArcTouch is an established company with a global presence, founded in 2009. With ~300 employees, they have offices in the US and Brazil and serve clients such as Hawaiian Airlines, Audi, 3M, HP, PayPal, McCormick, and AB InBev, among others. ArcTouch provides mobile app development, blockchain, APIs and cloud services development, voice apps, and smart IoT solutions, and their minimum project size is $100,000+. They specialize in eCommerce, Finance, Lifestyle, Hospitality, Automotive, and other industries and have a 4.9 Clutch rating. In 2020, ArcTouch introduced a Forever Warranty for all active clients, meaning that there is no end date for bug fixes or defect repairs.

Atomic Object

Headquartered in the US, Atomic Object is a full-cycle software development company that has been operating since 2001. With a team of around 90 professionals and a minimum project size of $25,000 or more, they provide custom-built mobile and web app development services. Their hourly rates range from $150 to $199, and they have a 4.9 rating on Clutch. Atomic Object has extensive experience in the Automotive, eCommerce, Education, Health & Fitness, and other sectors and have worked with some of the biggest names in the industry, such as Steelcase, Neurometrix, Dexter Laundry, Priority Health, and Herman Miller. They specialize in developing software solutions for various business needs, as well as IoT and cloud computing.

Miquido

Miquido is a Google-certified software development partner that helps companies all over the world build exceptional digital products, covering a full cycle of mobile app development services. Founded in 2011, the team is composed of ~260 experts and is based in Poland, the UK, Germany, Switzerland, and Austria. Miquido typically takes two days to estimate projects, two weeks to build a prototype, and three months to launch the MVP. Their minimum project size is $25,000+, and their hourly rates range from $50 – $99.

Miquido has a 4.9 rating on Clutch and has successfully developed 150+ apps for top brands like Skyscanner, BNP Paribas, Santander Bank, Herbalife, Play, and TUI. With expertise in FinTech, Health & Fitness, Entertainment, eCommerce, and other industries, Miquido has the knowledge and resources to tackle any development issue and deliver direct results on schedule.

Orangesoft

Orangesoft is one of the top choices among mobile app development companies, offering a full cycle of app development services from product ideation to launch and maintenance. We specialize in native mobile app development for iOS and Android devices, as well as web apps and custom IoT solutions. Founded in 2011, Orangesoft has over 80 employees and a 5.0 rating on Clutch. Our minimum project size is $25,000, and their hourly rates range from $50 – $99. Orangesoft has offices in Poland and the United States, and their key clients include Hamleys, Sport.com, CoachNow, Yukon, and IKEA. With their industry expertise in Health & Fitness, eCommerce, FinTech, Entertainment, and more, Orangesoft has successfully built more than 300 custom applications for various industries. They are able to identify pain points and develop custom solutions to alleviate them.

What’s Your Next Move?

Making the right decision on an app development partner can be daunting, especially with the countless small and large mobile app development companies across the globe that specialize in different areas. Our list of the top 20 mobile app development companies can certainly help make your decision easier, but you may still need more information to make a final decision.

It’s important to look into the vendor’s portfolio, team’s background, rates, and case studies. To give you an even better understanding of what to look for, our tips on how to choose the best app development company can provide you with helpful advice and guidance. Remember, it’s not just about finding experienced developers, but also finding a trustworthy and communicative partner.

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Myths about programming

Poynter Manuel — Thu, 10 Mar 2022 12:38:00 +0000

Myths about programming

Many people consider the profession of programmer as one of the most difficult, so they refuse the idea to master it. But there are myths around IT which must be dispelled and then it will become clear that programming is not as difficult as it may seem.

1. To program, you need to have a very high level of intelligence.
This is the most popular myth. But in fact, you don’t have to be very smart to write programs. All you need is the desire, assiduity, and practice.

2. It is necessary to understand mathematics.
To create applications and sites, school knowledge is enough. For more complicated things, university knowledge is required. But there is a great probability that someone else has already written this and you can use readymade material.

3. you need to be suitable for age.
There are no restrictions on this trait. It can not be that a person is too young or too old for programming. The main thing is to have the ability to learn, diligence and quality training material.

4. Women can’t be programmers.
That’s not true. The first programmer was a woman. Other than the ambiguous attitudes of men and society, there is no reason that prevents the mastery of this profession.

5. Programmers lead asocial lives.
In fact, they are no different from other people. And in many cases they need communication skills for teamwork.

6. it is a boring profession, far from being creative.
A person needs to apply imagination and fantasy to achieve the simplicity and reliability of the program. Therefore, the process can become fascinating. In addition, this business does not require talent, but only motivation and practice. The more one practices, the better one will get.

7. Once having studied the program of a university or having passed courses it is possible to master a profession completely.
Programming requires constant practice and development. At any time the situation on the market can change, and yesterday’s specialist will not be needed. Take new courses, study other languages and follow the trends.

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Web programming languages

Poynter Manuel — Wed, 17 Nov 2021 12:33:00 +0000

Web programming languages

Web programming today is one of the most in-demand areas of activity. The Internet in recent years is undergoing rapid development and improvement. Until recently, most people had no idea why they might need the Internet in their lives, but now the situation has turned 180 degrees – most people can not imagine their life without access to the Net. 10-15 years ago the Internet was seen only as an amateur platform where people played games, watched movies and corresponded, but now it has become much more mature and offers incomparably greater opportunities.

Today’s Web is a full-fledged sector of the global economy, with hundreds of billions of dollars in turnover, all the services in the world, active trade, educational courses, and a variety of services. Now more and more often the situation is that it’s easier to order goods in an online store and get the delivery at your door, rather than going out of your house to the store across the street. That’s why the field of web programming is experiencing such a boom and can provide a profitable job for any more or less normal specialist. Web programming languages used here are increasingly becoming the object of study for beginners, as they give an opportunity to move quickly enough from learning to practice and earn money. Let’s consider the list of languages for Web development, which now enjoy the greatest popularity.

All programming languages, which are used in the Internet sphere, can be divided into two large groups:

Client programming languages. The essence of these languages lies in the fact that the code written in them is processed by the client device of the user himself: smartphones, computers, tablets, and so on. This includes web programming languages such as JavaScript, Visual Basic. The pros of these scripts are called a high speed and lack of load on the server, disadvantages – a large number of problems with compatibility with different types of devices, browsers, unwillingness or inability to install the right software to correctly display the contents of the page;
Server languages. Unlike the previous class, server languages create programs and instructions that are processed directly by the servers of various Internet resources and services. All processes of processing of user requests here occur on servers, and the client only has to get a ready result on his request. But here there is a strong dependence on the “iron” and the software of the server itself. If it is bad, even a good computer will work slowly. Typical server languages are C++, Java, Perl, Python, Php.

HTML
HTML is a standardized hypertext markup language developed by Zern scholar Tim Berners-Lee in the early 1990s. HTML was originally created for use in academia for the purpose of transferring documentation, research papers, and research results between scientists and engineers. The language offered a fairly simple set of commands that anyone could easily master in a relatively short amount of time. With the help of special descriptors “tags” in the HTML document set the basic objects: fields, lines, headers, tables, and so on.

CSS
CSS is an uncomplicated language that is used in conjunction with the previous one. CSS – cascading style sheets, which are needed to design an initially dry and monotonous document in a colorful and more “live” in tones. With this language, the appearance of Web sites radically transformed – added animation, transition effects, beautifully formatted text, tables. Lists and other such things.

PHP
PHP – this is a more serious than previous languages, which has a huge amount of functionality and is able to fully support even the complex multi-functional sites. With the help of php are created colorful dynamic websites, complex web applications, chat rooms, forums and other serious scripts.

Java .
Often you can still see the web applications in Java. They have their own characteristics and advantages, among which are called such:

The ability to interact more easily with the memory of devices;
Ability to solve non-standard situations;
Good ability to filter events and information;
A large set of standard features;
With the help of Java it is possible to create functional network applications.

JavaScript
Another great multifunctional language. With his help a simple unsightly page on the Internet acquires a mass of useful and convenient features: animation effects, buttons, page navigation, various built-in features. Scripts in JavaScript can respond to certain events, make requests to the server side, to work with cookies, automate and check the data entered in various fields.

These are the languages most often used to create websites and for web applications. This area of programming is very diverse and interesting.

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Low-level programming languages

Poynter Manuel — Wed, 28 Oct 2020 12:27:00 +0000

Low-level programming languages

Low-level or low-level programming languages traditionally appeared first and later became the basis for the development of the entire IT industry. They are so called because in their commands they address in fact directly to the hardware of the computer, its microprocessor. Each processor is able to perceive a specific set of commands that only it understands, so for each model of a few devices in the distant past their own languages were created. Initially these languages had a minimal set of commands, and in contrast to the high-level ones did not have so many abstract classes, a variety of syntax.

All existing programming languages are usually divided into two large groups: low-level and high-level. Nowadays, most of the languages in use belong to the second category, but it was not always so. If we look at the history of programming as close as possible to its origins, the picture there was just the opposite.

Low-level programming languages, or having their capabilities, are actively used even now. For only thanks to them it is possible to write drivers for computer hardware, connected peripherals, to create operating systems and kernels of firmware, as well as many other important tasks. In the military, engineering, medicine, programs need to control directly certain devices and their physical parameters, which is why languages are also very much in demand. The list of low-level languages used today is not so long, but nevertheless, they are still relevant and able to solve important problems.

Some representatives of low-level languages
Originally, the first low-level programming language was considered to be the so-called machine code. It looked like a set of consecutive commands, which were passed to the processor as zeros and ones. Zero was the absence of an electrical signal on the device, and one was a certain pulse applied to it. In this way, a sequence of signals made the processor solve the tasks assigned to it.

The first such codes were able to make the computer perform elementary simple operations, which included arithmetic operations, transfer between registers the simplest information, compare two or more different codes and the like. Later machine languages learned to solve complex problems, that is, those that consist of a set of elementary commands. Depending on the architecture of the processor, it can perform a different number of commands and at different speeds. To make machine codes work properly on several members of the same processor family, they began to be broken down into microprograms. List of languages of computer code is hardly possible to make, because each processor and computer of his time created its own language.

The Assembler
The so called assembly languages came next after the machine codes. The main difference is that the set of possible commands is much wider, and it doesn’t have to strictly follow the commands of a given computer. This opened up a lot of new possibilities. The main advantages of Assembler compared to machine code are:

The ability to create the most compact code, which increases the speed of the machine;
The ability to store part of the execution of the task in RAM and use it at will;
Programs have gained more functionality, while their resource-intensiveness has become significantly lower.
And these are just some of the strengths that Assembler offers. Examples of code from this family of languages are still often used for educational purposes and give a better understanding of how to work with microprocessors.

Forth
A low level language from around the 70’s. Had its own significant advantages, which made it quite popular in certain circles of specialists. Machine programming languages had already begun to become a thing of the past by this time, so the functionality of Forth appealed to many. With its help, programmers who knew the architecture of the processor could write a kernel to the device in a matter of days. It is hard to say which programming paradigm is supported here. If the language is used by an experienced programmer, the most original ideas can be realized here.

С
One of the most famous and most used programming languages, which started its existence in the 70’s and is still on the scene today. Its structure was quite close to machine languages and assembler, so it began to be actively used for creating operating systems, drivers, system software. C is often considered a high-level language, but it is not so straightforward, because it also fully coincides with the definition of low-level languages, so it can be included in this category. The question of which programming language is a low-level language is not that simple, and you need to look at the functionality and purpose of the language, rather than its official definition.

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Using an extensible application architecture

Poynter Manuel — Tue, 10 Dec 2019 12:54:00 +0000

How to speed up an old computer?

One of the most important features of any application program is its degree of customization, that is, the ability to customize behavior to the requirements of a particular user without developing a separate version of the product and making changes to the software part.

Typically, customization is used in business process automation systems of large enterprises, because the size of the organization depends on the complexity of its internal structure and each has its own characteristics. If it is possible to create a standard product for the management of a small company, taking into account all its needs, then for medium and large organizations it is practically impossible to develop such a program, and designing a unique automated system for each client will be expensive for the client in the first place. The developers of such systems, in their turn, will find it difficult to support a variety of unique software products created for each client.

All this became the reason for creation in many companies of their own subdivisions, engaged in development and support of automated process control systems, i.e. non-core production inside the company is created, which will not affect positively both the quality of such products and profitability of an enterprise. The situation fundamentally changed when 1C appeared on the market, based on the open software architecture that allows you to expand functionality by writing extensions to the embedded programming language. Later in the market of information services many similar products appeared, for example, a complex from SAP AG company, which was a worthy competitor to the solution from 1C.Developers are constantly engaged in improvement and expansion of the functionality of their projects, of course, it is made with the use of customization tools.

Thus, the program for the qualities of customization must have a wide list of options, or have an open architecture that allows you to increase its functionality without interference in the basic code. Below we present the variants of creation of extensible application architecture:

– Applying metadata (information describing the structures of the data used by the program);

– development of a connection structure for additional components, the design of which should be carried out according to the rules defined in the main product;

– adding to the product separately compilable sections of program code created in the built-in application-level programming language.

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