Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS.

Lesson 33/59 | Study Time: Min


Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS.

It is fascinating to consider how strategic Management Information Systems (MIS) have become the backbone of effective business decision-making. They are like the brain of an organisation, processing information from diverse streams, analyzing it, and presenting it in a digestible form to facilitate sound business decisions.

Key Characteristics of a Strategic MIS

Let's delve into the defining features of a strategic MIS. One of its main attributes is its capacity to collect, process, and distribute data. This data can come from various sources both inside and outside the organisation, ranging from sales figures to external market trends. A strategic MIS is also designed to support decision-making processes. By generating relevant reports and insights, it enables managers to make informed decisions.

Another crucial characteristic is that a strategic MIS is geared towards achieving organisational goals. It doesn't merely process data; it aligns this data with the company's objectives and strategies. This alignment ensures that all information and insights derived are relevant and actionable for the organisation.

Moreover, a strategic MIS is adaptive and flexible. In today's rapidly changing business environment, systems need to be able to evolve and adapt to new circumstances. Whether it's integrating with new technology or adjusting to regulatory changes, a strategic MIS is built to be versatile.

The Impact of a Strategic MIS

What does a strategic MIS mean for an organisation? To put it simply, it can be a game-changer.

For example, suppose an organisation adopts a strategic MIS that is well-aligned with its goals. This system can significantly enhance decision-making processes. It facilitates data-driven decisions, reducing the risk of human error or bias.

Furthermore, a strategic MIS boosts efficiency. By automating data collection, processing, and reporting, it frees up time for employees to focus on more strategic tasks.

In one real-world example, a prominent healthcare organization implemented a strategic MIS to manage its vast amounts of patient data. The system provided real-time insights into patient health trends, optimised resource allocation, and ultimately improved patient outcomes.

On the other hand, implementing a strategic MIS also presents challenges. There are costs associated with system acquisition, implementation, and maintenance. Additionally, there can be resistance from employees, and it may require significant changes to business processes.

In conclusion, a strategic MIS is more than just another piece of technology; it is a strategic partner that aids in realising an organisation's vision. By understanding its characteristics and impact, organisations can more effectively leverage this tool for improved decision-making and efficiency.

UeCampus

UeCampus

Product Designer
Profile

Class Sessions

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.
noreply@uecampus.com
-->