Business information system: Design, Approach and Components

An information system is a set of interrelated components that collect, process, and distribute information to support transactions, analysis, visualization, and decision making, using people, hardware, and software.

Explore how organizational information systems span from bottom-level transaction processing to top-level executive support within the organizational pyramid, with middle-management decision support and ERP-enabled workflows across departments.

Explore how transaction systems capture inputs, process transactions, and feed a multi-layer information architecture from ERP and CRM to data warehouses, data marts, ETL, and executive reporting.

Design a three-part architecture of information systems, from internet and web applications to the database, explore online transaction processing flows, and learn how etl and business intelligence support cross-erp reporting.

Explore system analysis and design, from identifying business needs to planning, design, and implementation, including data flow diagrams, ER diagrams, normalization, and implementation challenges.

Explore the unified modeling language and use case diagrams with actors, system boundaries, and include and extend relationships, and see how they capture context and guide early design.

Demonstrate how data flow diagrams communicate complex business processes among stakeholders, define project boundaries, highlight missed functionality, and map data flow from external sources to information stores.

Develop a logical data model and ER diagram that define entities like customer, order, and employee, capture their attributes, and show one-to-many relationships guiding the database design.

Explore entity types, instances, and relationships in database design, including one-to-many, many-to-one, many-to-many, and one-to-one, with keys and cardinality examples.

Explore object oriented analysis and design, defining class as a group of objects with attributes and behavior, and an object as an instance of a class, using UML to model.

Explore the core principles of object oriented analysis—abstraction, encapsulation, modularity, hierarchy, and polymorphism—through practical examples like customers, products, remotes, and televisions.

Explore how full stack development blends front end tools like HTML, JavaScript, Angular, and React with back end languages and databases, while Bootstrap enables responsive, single-page applications.

Explore backend tools, comparing Java and Python, with Python leading in machine learning. Learn MicroPython for AI on resource-constrained devices and basic SQL database design.

Explore cloud-based development and continuous integration with Git, Jenkins, and Docker, automating testing, staging, and production. Understand version control, containerization, and the CI/CD pipeline.

Explore how relational databases organize data into two-dimensional tables and define relationships. Learn to model with entity-relationship diagrams, attributes, and normalization to avoid data redundancy.

Derive the ER diagram from the business flow, define entities like customers, orders, employees, and departments with attributes, and implement corresponding table structures using primary and foreign keys.

Trace the evolution of enterprise resource planning from financial modules to full ERP, integrating manufacturing, supply chain, human capital management, and CRM, and compare on-premises and cloud trends.

Explore ERP technical architecture across eras—from early client-server with direct database access to three-tier, browser-based access, and cloud software as a service, including Oracle applications and forms components.

Compare cloud and on-premises models using a kitchen vs restaurant analogy to explain asset ownership and licensing. Explore how data is managed across cloud and on-premises within business information systems.

Explore cloud service models—software as a service, platform as a service, and infrastructure as a service—and their on-demand, scalable characteristics per NIST, plus deployment models public, private, community, and hybrid.

Explore virtualization and its role in cloud computing, including IaaS, PaaS, and SaaS models, virtual machines, hypervisors, and elastic scaling to optimize infrastructure.

Explore data warehousing and business intelligence, integrating historical ERP data through extract, transform, and load, with normalization, star and snowflake schemas, and tools for actionable cross-country reporting.

Explore how dimensional models transform business models into multi dimensional schemas for data warehousing, detailing star and snowflake schemas, fact and dimension tables, and their use in business analysis.

Explore star and snowflake schemas in data warehousing, showing how fact tables center transactions and dimensions like store, time, and product enable fast reporting via ETL processes.

Explore fact and dimension tables in data warehousing, showing how transactional data powers metrics, join facts to dimensions via foreign keys, and use time, product, and country hierarchies for reporting.

Explore how a business information system is designed, covering infrastructure, ERP, and executive support components forming information backbone. Discover related offerings in ERP, financial management, Oracle ERP, and technical courses.