Information systems for value-added change: Analyze how information systems can support value-added change in organizations.

Lesson 34/59 | Study Time: Min


Information systems for value-added change: Analyze how information systems can support value-added change in organizations.


Did you know that the steady pulse behind an organization's growth and success often lies in its ability to implement value-added change?

What is Value-Added Change?

Value-added change refers to changes or improvements made to a company's processes, products or services that increase their worth. Value-added✨ can be viewed as the difference between an operation's output and input. If the output has greater value than the input, then value has been added.

The Power of Information Systems

In the modern business world, Management Information Systems (MIS) play a critical role in enabling value-added change. MIS tools can automate complex processes, provide invaluable data insights, and streamline decision making. Through these functions, they can significantly enhance operational efficiency and productivity, thereby adding value to an organization.

For instance, an advanced MIS solution can automate routine tasks that formerly required human effort and time. This not only speeds up processes but also eliminates human error, resulting in higher quality outputs.

Example: Consider an insurance company that uses an MIS to automate claim processing. The system can quickly and accurately process hundreds of claims, reducing the time spent on each claim and increasing customer satisfaction - a clear value addition!

Additionally, MIS can provide powerful data analysis capabilities. By collecting and analyzing data, these systems can reveal patterns and insights that can be used to make strategic decisions, again adding considerable value.

Example: A retail company might use an MIS to analyze sales data and identify trends. This information could then be used to predict future sales and guide inventory management, driving efficiency and reducing costs.

The Impact of MIS in Real-world Scenarios

Let's delve into some real-world examples of organizations leveraging MIS for value-added change.

Amazon: A Case Study

Amazon, the world's largest online retailer, is a prime example of a company that uses MIS to drive value-added change. Amazon's advanced information system collects data on customer preferences, search patterns, and purchase history. This data is then analyzed to predict future buying behavior, recommend products, and personalize the customer experience, thereby adding substantial value.

Zara: Fast Fashion, Faster Decisions

Zara, a leading fast-fashion brand, also uses an MIS to gain a competitive edge. Their MIS collects sales data from stores worldwide, which is analyzed to understand fashion trends in real time. This information is used to guide the design and manufacturing process, allowing Zara to bring new designs to market quickly and meet customer demand, adding great value to their operations.

In conclusion, it's clear how crucial the role of MIS is in implementing value-added change in organizations. With their ability to automate processes, analyze data, and inform strategic decisions, these systems can significantly enhance an organization's value proposition.

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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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