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In software engineering, requirements define the features, behaviors, and expectations of a system. They reflect what users truly want — whether clearly stated or not. These requirements can be explicit or implicit, known or unknown, expected or even unexpected from the client's perspective. Accurately identifying and implementing them is the foundation of a successful and efficient software solution.
Meeting service requirements in project implementation
Market Research
Market research is an integral and vital part of the marketing process. In today's world, where decision-making power lies entirely in the hands of customers, a deep understanding of their behavior, needs, and preferences is no longer an option but an undeniable necessity. The fact is that most buyers conduct their research online before taking any action, and this shows that traditional marketing models no longer respond to modern customer buying patterns. If your marketing strategy is not aligned with this trend, you are effectively falling behind the competition. For example, 75% of smartphone owners first use search engines to meet their urgent needs, and 78% of consumers cut ties with brands due to excessive promotional emails. These statistics clearly indicate that only brands that truly understand their customers, comprehend their behavior, and make decisions based on real and analyzed data will succeed. Therefore, if you still doubt the importance of market research, it's time to accept it as the backbone of your marketing.
Functional Requirements
Simply put, these types of requirements are related to the user's business activities and must be implemented by the developer so that the user can use the software. Nowadays, more modern methods like Use Case or UML are spreading.
Data Analysis
Data analysis has become one of the key and widely used topics today; a subject that has gained even more importance with the rapid growth of information technology, the expansion of computer usage, and especially the emergence of the internet. While data is produced extensively across all fields, from market and consumer behavior to internal organizational processes, it is essential to properly collect, monitor, and analyze this information to extract valuable knowledge and apply it for strategic decision-making. Specialists in this field, using advanced technologies, tools, and analytical methods, play an important role in guiding organizations toward their goals by identifying opportunities, threats, and providing data-driven solutions that foster transformation and growth. These individuals typically have responsibilities such as identifying and collecting data related to customers, competitors, market, economy, finance, and technical indicators, performing statistical, financial, quantitative, and qualitative analyses, and ultimately converting these analyses into actionable and effective reports for management and executive levels. In other words, data analysis is a bridge between raw information and intelligent decision-making on the path to organizational success.
Prototype Preparation
Prototype preparation is performed at the final stage of design thinking. Its goal is to evaluate user reactions, find better solutions, and determine the success of the implemented solutions. Sometimes the results lead to redefining previous stages of the project.
Support
Data analysis has become one of the key and widely used topics today; a subject that has gained even more importance with the rapid growth of information technology, the expansion of computer usage, and especially the emergence of the internet. While data is produced extensively across all fields, from market and consumer behavior to internal organizational processes, it is essential to properly collect, monitor, and analyze this information to extract valuable knowledge and apply it for strategic decision-making. Specialists in this field, using advanced technologies, tools, and analytical methods, play an important role in guiding organizations toward their goals by identifying opportunities, threats, and providing data-driven solutions that foster transformation and growth. These individuals typically have responsibilities such as identifying and collecting data related to customers, competitors, market, economy, finance, and technical indicators, performing statistical, financial, quantitative, and qualitative analyses, and ultimately converting these analyses into actionable and effective reports for management and executive levels. In other words, data analysis is a bridge between raw information and intelligent decision-making on the path to organizational success.
Coding
In this stage, all previous parts (market research, data analysis, functional requirements, and prototype) are implemented. The project structure progresses integrally and forms a unified system.
