Information systems in businessSeptember 2026Including software, hardware, networks, and users, designed to collect, process, store, and distribute information to support business operations, decisionmaking, and competitive strategies.Managing data, automating routine tasks, improving communication, enhancing efficiency, and enabling better decisionmaking across various levels of an organization.Information systems in business are interconnected resources.Is essential for:Technology is everywhere

Types ofCommon types of information systems include: • Transaction Processing Systems (TPS): Handle daily business operations such as order processing, payments, and inventory management. • Enterprise Resource Planning (ERP) Systems: Integrate various business functions into a single system with centralized data for users across departments. • Management Information Systems (MIS): Provide structured reports and data summaries to support middle management in decision making. • Decision Support Systems (DSS): Analyze large data volumes to help managers make complex decisions. • Customer Relationship Management (CRM) Systems: Manage customer interactions and data to improve engagement and service. • Business Collaboration Systems: Facilitate communication and cooperation among employees through tools like messaging and video conferencing. • Executive Support Systems (ESS): Provide senior executives with high-level reports and dashboards for strategic decision making. Information Systems in Business

Systems Processing Transaction Resource Enterprise Planning Systems Systems Information Management Systems Decision Support Systems Customer Relationship Management Systems Business Collaboration Systems Executive Support operations Handle daily business with centralized data Integrate business functions decision-making Provide structured reports for decisions Analyze data to aid complex Manage customer interactions and data among employees Facilitate communication strategic decisions Provide high-level reports for Systems Business Information

Role ofInformation systems also improve customer insight, operational flexibility, and the ability to respond quickly to new opportunities or challenges, ultimately contributing to business success and growth. Cemex Go in Mexico Cemex is a massive global building materials company founded in Monterrey, Mexico. In the mid-2010s, Cemex faced heavy competition, fragmented local markets, and frustrated clients (builders and contractors) who had to deal with delayed truck deliveries, manual paper invoicing, and phone-based order changes. Information Systems in Business Support Business Processes: Automate and streamline operations to reduce costs and improve productivity. Enhance Decision Making: Provide timely and accurate data analysis for informed managerial and strategic decisions. Gain Competitive Advantage: Enable agility, innovation, and responsiveness to market changes. The MIS Solution Cemex launched Cemex Go, a fully integrated, cloud-based digital platform and mobile app. Core features: Real-time GPS tracking of concrete delivery trucks (like Uber for cement), instant digital ordering, automated invoicing, and live chat support.

Integration: It connected back-end Enterprise Resource Planning (ERP) databases, supply chain logistics, and customer relationship management (CRM) into a single dashboard. The Competitive Advantage Differentiation & Lock-in: Contractors stopped using traditional local cement suppliers because Cemex offered total visibility and control over their construction schedules. Operational Efficiency: Automated routing reduced fuel costs, truck idle times, and dispatch errors. Data Analytics: Cemex gathered real-time data on construction activity across Mexico, helping them forecast demand spikes before competitors could. Cemex Go transformed outbound logistics, operations, and sales by digitizing the fulfillment cycle and leveraging real-time data integration. The platform achieves differentiation by adding a digital service layer to a commodity product while reinforcing cost leadership through backend optimization and increased customer switching costs.

Users inUsers in information systems are the individuals who interact with and use these systems to support organizational operations, decision making, and communication. Users range from operational staff and technical personnel to management levels, each utilizing information systems in ways that align with their business functions and responsibilities. Information Systems in Business Types of Users in Information Systems: End Users: The largest group who use information systems directly to perform their job tasks, such as data entry clerks, sales staff, and customer service representatives. Business Management: Includes middle and upper management who use information systems like Management Information Systems (MIS), Decision Support Systems (DSS), and Executive Support Systems (ESS) to make operational, tactical, and strategic decisions. Technical Staff: This group includes systems analysts, programmers, information security professionals, and database administrators who design, develop, maintain and manage the information systems. IT Management: Includes roles such as the Chief Information Officer (CIO), functional managers, and project managers who oversee IT strategy, planning, and project execution.

End UsersTechnical StaffIT ManagementBusiness ManagementRoles of Users in Information Systems: Users operate the systems daily to manage transactions, analyze data, and communicate within the organization. They help identify system requirements and provide feedback for improvements. Users' ability to learn and effectively use information systems can determine the success or failure of these systems in business.

How Information systems Information systems in business process data through a series of structured steps designed to convert raw data into meaningful information for decision making and operations. Steps in Data Processing by Information Systems process data? 1.Data Collection: Gathering raw data from various sources such as transactions, customer feedback, sensors, or online interactions. This is the foundation for further processing. 2.Data Preparation: Cleaning and organizing the collected data by removing errors, duplicates, and inconsistencies. Data is also formatted and categorized to facilitate analysis. 3.Data Input: Converting the prepared data into a machine- readable format and entering it into the information system for processing. This can be done manually or through automated tools. 4.Data Processing: Transforming the input data into useful information using sorting, filtering, calculating, and aggregating methods. This stage may involve real-time processing, batch processing, or parallel processing. 5.Data Storage: Securely storing the processed data in databases, data warehouses, or cloud storage to ensure accessibility for future use and analysis. 6.Data Output and Reporting: Presenting the processed data in readable formats such as reports, charts, dashboards, and visualizations to support informed decision-making. 7.Data Analysis: Examining the processed data to uncover patterns, insights, and trends using various analytical and business intelligence tools.

Data Processing Steps in Information SystemsData CollectionData PreparationData InputData ProcessingData StorageReportingData Output andData Analysissourcesfrom variousGathering raw dataCleaning andcollected dataorganizing thereadable formatdata into machine-Converting preparedinformationdata into usefulTransforming inputfuture useSecurely storingprocessed data forPresentingreadable formatsprocessed data inExamininguncover insightsprocessed data to