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RoomierColosseum

Uploaded by RoomierColosseum

Cavite State University

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system integration data exchange organizational behavior business processes

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Types of System Integration System Integration Point-to-Point Integration: This involves connecting System integration it is a process of linking together two specif...

Types of System Integration System Integration Point-to-Point Integration: This involves connecting System integration it is a process of linking together two specific systems directly, enabling data exchange the different systems or components to functionally between them (AltexSoft, 2023). cooperate as a whole system, it can be: Enterprise Application Integration (EAI): This focuses - mono-directional or one-way on integrating various applications within an organization, often using middleware to facilitate - bi-directional or both ways. communication API Integration: These leverages application System Integration collaborative endeavour consists programming interfaces (APIs) to enable communication of a variety of activities. between different systems, promoting a more standardized approach Data Integration: Establishing mechanisms for data exchange between different systems, ensuring data Data Warehousing Integration: This focuses on consistency and accuracy across the entire system integrating data from disparate sources into a central (Chen et al., 2019). data warehouse for analysis and reporting purposes Application Integration: Enabling communication and interaction between independent software applications, allowing them to work together as a unified system Functional Silos (AltexSoft, 2023). Functional silos refer to the departmentalization of Process Integration: Streamlining workflows and organizations where distinct teams or departments business processes across different systems to optimize operate with limited communication and collaboration efficiency and productivity (Chen et al., 2019). Hardware Integration: Connecting and configuring Causes of Functional Silos various hardware components, ensuring their compatibility and smooth operation within the broader Organizational Structure: Traditional hierarchical system (AltexSoft, 2023) structures with rigid departmental divisions can foster siloed behavior Performance Metrics: Departments evaluated solely on Benefits of System Integration achieving their own metrics may prioritize departmental goals over cross-functional collaboration Enhanced Efficiency and Productivity: Streamlined workflows and data exchange lead to improved Limited Communication: Insufficient communication efficiency and productivity (Chen et al., 2019). channels or a culture of information hoarding can impede collaboration across departments Informed Decision-Making: Access to unified and accurate data empowers better decision-making processes (AltexSoft, 2023). Impact of Functional Silos on System Integration Cost Reduction: Eliminating data silos and redundant efforts translates to reduced operational costs (Chen et Data Inconsistency: Departmental isolation can lead to al., 2019). fragmented data residing in separate systems, hindering data accuracy and consistency across the organization Increased Agility and Flexibility: A well-integrated system allows for greater adaptability to evolving Inefficient Workflows: Siloed processes often require business needs (Kruchten, 2011). manual data transfer and reconciliation, leading to inefficiencies and delays Improved Customer Experience: Seamless communication and data flow across systems enhance Limited System Visibility: The lack of collaboration customer service and satisfaction (Chen et al., 2019) across departments can hinder understanding of the overall system and its objectives, hampering integration efforts Information System Impact of Information Systems · Information System, an integrated set of Organizational Change: Information systems can drive components for collecting, storing, and processing data organizational change by enabling new ways of working, and for providing information, knowledge, and digital collaborating, and communicating products. Ethical Considerations: The use of information · Information systems are a combination of systems raises ethical concerns regarding data privacy, hardware, software, data, people, processes, and security, and potential job displacement procedures that work together to collect, store, process, analyze, and distribute information (Laudon & Laudon, Global Impact: Information systems play a crucial role 2021). in globalization by facilitating international trade, communication, and collaboration Components of Information Systems Enterprise Resource Planning (ERP) Hardware: The physical infrastructure of the system, including computers, servers, storage devices, and An ERP system is a comprehensive software suite that networking equipment integrates core business processes across an organization, including functions like finance, Software: The programs and instructions that enable accounting, human resources, manufacturing, supply the system to function, including operating systems, chain management, customer relationship management application software, and database management (CRM), and sales systems Data: The raw facts and figures that are collected, processed, and stored by the system ERP Core Modules People: The individuals who use, operate, and manage Financial Management: Manages financial the system, including end users, system analysts, transactions, accounting processes, and general ledger developers, and database administrators Human Resources: Streamlines HR processes like Processes: The defined procedures and methods used payroll, recruitment, and performance management to transform data into meaningful information Manufacturing and Supply Chain Management: Procedures: The documented steps and instructions for Integrates production planning, inventory control, and using the system effectively supplier relationships Customer Relationship Management (CRM): Manages customer interactions, sales pipelines, and Types of Information Systems marketing activities Transaction Processing Systems (TPS): These Business Intelligence (BI): Provides reporting and systems process routine transactions such as sales, analytics tools for data-driven decision-making inventory, and payroll Management Information Systems (MIS): These Information - Oriented systems provide reports and summaries of operational data to support mid-level management decisions The information-oriented approach focuses on the exchange of data between disparate systems. Its Decision Support Systems (DSS): These systems primary objective is to enable applications to share assist in making complex decisions by providing data specific information required for their operations. This analysis tools and modeling capabilities approach prioritizes data structure and semantics, ensuring consistent data interpretation across systems Enterprise Resource Planning (ERP): These large-scale systems integrate and manage all core business processes across an organization Benefits of Information-Oriented Business Process Management (BPM): BPM solutions facilitate the modeling, automation, optimization, and Simple and efficient: Information-oriented integration monitoring of business processes across various often involves straightforward data transfer mechanisms, systems. making it suitable for less complex projects with well-defined data exchange needs Service-Oriented Architecture (SOA): SOA breaks down functionalities into reusable services that can be Cost-effective: This approach typically requires less accessed and orchestrated by different applications to development effort compared to other integration support business processes. methods, leading to lower implementation costs Flexibility: The information-oriented approach can accommodate various data formats and sources, Service-Oriented System Integration offering a degree of adaptability to diverse system environments SOA is an architectural style that promotes the development of independent, reusable services that expose functionalities through well-defined interfaces. Techniques for Information Exchange Benefits of SOA Database replication: Data from one system's Loose coupling: SOA promotes loose coupling database is periodically copied to another system's between systems, meaning changes in one service have database, enabling real-time or near real-time data minimal impact on others, enhancing flexibility and access maintainability. Application Programming Interfaces (APIs): APIs Reusability: Services can be easily reused across provide a standardized way for applications to request different applications, reducing development time and and receive data from other systems, facilitating costs. controlled and secure data exchange Platform independence: SOA utilizes standardized Extract, Transform, Load (ETL): This process involves protocols, allowing services to operate on diverse extracting data from source systems, transforming it into platforms and technologies. a compatible format for the target system, and loading it into the target system. ETL is particularly useful when Improved agility: The modular nature of SOA facilitates data structures or semantics differ between systems faster adaptation to changing business needs. Screen scraping: This technique captures data displayed on a user interface of one system and feeds it into another system. While effective in some scenarios, Key Components of SOA it can be fragile and susceptible to changes in the user interface Services: Independent, self-contained units of functionality that expose well-defined interfaces. Business Process Integration- Oriented System Integration Service contracts (WSDL/REST): Formal agreements that define how a service can be accessed and what BPIOAI Defined data it accepts/produces. BPIOAI focuses on integrating business processes Service registry: A central repository for discovering across different applications. It goes beyond data and managing available services. exchange to orchestrate the flow of information and tasks between systems, enabling seamless execution of Enterprise service bus (ESB): An optional component end-to-end business functions. that facilitates communication between services, routing messages, and enforcing security poli Techniques for Business Process Integration: Portal-Oriented System Integration Enterprise Application Integration (EAI): EAI tools The portal-oriented approach focuses on creating a provide a middleware platform for connecting diverse unified user interface (UI) that acts as a single point of applications and orchestrating data exchange within entry for accessing functionalities and information from business processes. various underlying systems Types of Portals What is Middleware? Enterprise portals: Provide a single point of access to Middleware is software that facilitates communication enterprise applications, information, and services for all and interaction between different software components employees. or applications. It acts as a bridge, connecting various systems Customer portals: Offer self-service access to information and functionalities for customers or partners. Types of Middleware Vertical portals: Focus on specific industry sectors, aggregating information and resources relevant to a Message Oriented Middleware (MOM): Facilitates particular domain. asynchronous communication between applications through messages. Examples: JMS, RabbitMQ, Apache Kafka Implementation Considerations Transaction Processing Monitors (TPM): Manages System selection: Identifying the systems and and coordinates complex distributed transactions. functionalities to integrate into the portal. Examples: IBM CICS, Oracle Tuxedo User interface design: Creating a user-friendly and Application Servers: Provide runtime environment for intuitive interface for accessing integrated systems. deploying and managing enterprise applications. Examples: JBoss, WebLogic, Tomcat Security: Implementing robust security measures to protect sensitive data within the portal. Data Access Middleware: Manages interactions with databases and other data sources. Examples: JDBC, Content management: Establishing processes for ODBC, ORM frameworks maintaining accurate and up-to-date information displayed on the portal. Integration Servers: Orchestrate and manage complex integration processes. Examples: Mule ESB, Apache Camel Database A database is a structured collection of data organized for efficient retrieval and management Environment Design in System Integration and Architecture Components of a Database Data within a database is organized into structures Environment design called tables. A table consists of rows (records) and In the context of system integration and architecture is columns (fields). Each record represents a specific the process of defining, planning, and configuring the entity (e.g., a customer, a product), while columns infrastructure and software components necessary to define the attributes of that entity (e.g., customer support the system's development, testing, and name, product price). deployment. Types of Databases Key Components of Environment Design Relational databases: based on the concept of tables Hardware infrastructure: Servers, storage, network and relationships, are the most common, other types devices, and other physical components. exist. Software infrastructure: Operating systems, Hierarchical databases: resembling a tree-like databases, middleware, and virtualization platforms. structure, were earlier models but have largely been replaced. Network configuration: Connectivity between components, firewalls, and security measures. Network databases: a more complex version of hierarchical databases, are also less prevalent. Data management: Test data, configuration data, and data storage strategies. Environment configurations: Specific settings and Key Components of Stress Testing parameters for different environments (development, testing, staging, production). 1. Test Objectives: Clearly define the goals of the stress test. Identify the specific components or Challenges in Environment Design functionalities to be tested. Determine the expected system behavior under Complexity: Managing multiple environments with stress. varying configurations. 2. Test Environment: Consistency: Maintaining consistent environments across different stages of the development lifecycle. Create a realistic and controlled environment that stimulates production conditions. Performance: Ensuring optimal performance for Ensure adequate hardware, software, and different workloads. network resources. Security: Protecting sensitive data and preventing Consider using virtualization or cloud-based unauthorized access. environments for flexibility. Cost: Balancing cost-effectiveness with environmental 3. Test Scenarios: requirements. Develop comprehensive test scenarios that cover various stress conditions. Include peak load, sustained load, and spike Environment Setup in System Integration and load scenarios. Architecture Consider error conditions and system failures. Environment setup is the process of configuring and 4. Test Data: preparing a dedicated space or platform for testing the integration of various system components Prepare realistic and representative test data. Ensure data volume and complexity match expected production conditions. Consider data privacy and security Importance of Environment Setup requirements. Accurate Simulation: A well-configured environment 5. Monitoring and Measurement: closely replicates production conditions, ensuring reliable test results. Define key performance indicators (KPIs) to measure system performance. Isolation: Prevents interference from other systems or Implement monitoring tools to collect data on environments, enabling focused testing. resource utilization, response times, and error Reproducibility: Consistent environment setup allows rates. for repeatable test cases. Analyze collected data to identify performance bottlenecks and issues. Efficiency: Streamlined setup processes save time and resources. 6. Test Automation: Collaboration: Provides a shared platform for Automate test execution to improve efficiency development and testing teams. and repeatability. o Use testing frameworks and tools to create and execute test scripts. Designing Stress Tests for System Integration and Integrate test automation with continuous Architecture integration and continuous delivery (CI/CD) pipelines. Understanding Stress Testing Stress testing is a critical aspect of system integration and architecture. It involves subjecting a system to FUNCTIONAL AREAS AND BUSINESS PROCESSES: extreme conditions to evaluate its behavior under heavy A COMPREHENSIVE OVERVIEW load or unexpected circumstances. This helps identify Functional areas are the distinct departments or system bottlenecks, vulnerabilities, and potential failure divisions within an organization, each responsible for points. specific tasks and operations. COMMON FUNCTIONAL AREAS Management: Oversees the entire organization, sets goals, and makes strategic decisions. Operations: Manages the day-to-day activities, production, and delivery of products or services. Marketing: Identifies customer needs, develops marketing strategies, and promotes products or services. Human Resources: Recruits, hires, trains, and manages employees. Research and Development (R&D): Focuses on creating new products or services and improving existing ones. Information Technology (IT): Manages the organization's technology infrastructure and systems. BUSINESS PROCESSES Business processes are the series of activities or steps involved in accomplishing a specific goal. They cut across different functional areas and define how work is done within an organization.

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