Information Management Reviewer PDF

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TopRetinalite710

Uploaded by TopRetinalite710

Technological Institute of the Philippines

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information management data processing cloud computing databases

Summary

This document provides a reviewer for information management, covering topics like information lifecycle management, industry applications, and future trends like Big Data analytics. It includes analysis of key concepts and technologies used in data processing.

Full Transcript

REVIEWER FOR INFORMATION ROLE OF INFORMATION MANAGEMENT MANAGEMENT IN VARIOUS INDUSTRIES Healthcare Sector - enhances patient care OVERVIEW OF INFORMATION through electron...

REVIEWER FOR INFORMATION ROLE OF INFORMATION MANAGEMENT MANAGEMENT IN VARIOUS INDUSTRIES Healthcare Sector - enhances patient care OVERVIEW OF INFORMATION through electronic health records (EHR’s) MANAGEMENT enabling secure sharing of patient data among provides Information Management - the processes of storing, organizing, and distributing Financial Sector - support risk assessment information within an organization and regulatory compliance, utilizing data analytics for informed decision-making and DATA VS INFORMATION fraud detection Data - contains raw facts and figures Retail Sector - for inventory control and customer relationship management (CRM) -​ it can be quantitative (numbers) or leveraging data to personalize marketing qualitative (descriptive) strategies Information - it is processed and organized Manufacturing Processes - to streamline data that is meaningful operations and supply chain logistics using real-time data for production efficiency -​ it provides context, relevance, and purpose to the data EVOLUTION OF INFORMATION SYSTEMS TYPE OF INFORMATION MANAGEMENT 1950s Mainframe Era - the development of Transaction Processing Systems - it large mainframe computers marked the manage and record daily transactions of an beginning of information systems, primarily organization, ensuring data is processed used by government and large corporation accurately and efficiently for data processing Management Information Systems - 1970s Personal Computers - the provide managers with tools to organize, introduction of personal computers evaluate, and manage departments revolutionized information systems by effectively, aiding in decision-making making technology accessible to smaller businesses and individuals Decision Support System - analyze data and provide information that helps in making 1980s Database Management Systems - informed decisions, often using data models the rise of database management systems and analysis techniques allowed organizations to store, manage, and retrieve large amounts of data 1990s Internet and Networking - the advent of the internet transformed information systems, enabling global data CHALLENGES IN INFORMATION sharing and the rise of e-commerce MANAGEMENT 2000s Cloud Computing - allowing PROS organizations to access data and applications over the internet, promoting -​ Effective information management scalability and flexibility in information can lead to improved management decision-making and operational efficiency INFORMATION LIFECYCLE -​ Investing in robust information MANAGEMENT management systems can enhance data accessibility and collaboration Creation - it involves generating information -​ Well-managed information systems through data entry, documentation, or support regulatory compliance and automation, ensuring accuracy and risk management relevance CONS Ex. Data entry forms, Initial reports, Document templates -​ Data security threats, such as breaches and cyberattacks, pose Storage - information is securely stored for significant risks to information easy access, organized in databases or integrity cloud systems, with backup solutions to -​ Integration challenges arise prevent loss combining disparate systems, leading to data silos and Ex. Database structures, Cloud storage inefficiencies systems, Backup protocols -​ High costs associated with implementing and maintaining Usage - information is accessed for information management systems decision-making and analysis, emphasizing can be a barrier for organizations data integrity and the ability to derive insights FUTURE TRENDS IN INFORMATION Ex. Reports generated, Data analytics, User MANAGEMENT feedback Big Data Analytics - organizations will Disposal - involves securely disposing of increasingly leverage big data analytics to unnecessary information, including gain deeper insights into customer behavior archiving for compliance or complete and operational efficiency deletion AI Integration - AI-driven tools will enhance Ex. Archiving procedures, Data deletion data analysis and decision-making protocols, Compliance documentation processes, automating routine tasks and providing actionable insights Cloud Computing Technologies - the adoption of cloud solutions will continue to grow, allowing organizations to store, manage, and analyze vast amounts of data securely and efficiently Internet of Things (IoT) Applications - will play a crucial role in information management by providing real-time data from connected devices, improving operational responsiveness Data Privacy Technologies - emerging technologies will focus on enhancing data privacy, including encryption and blockchain, ensuring compliance with regulations INFORMATION MANAGEMENT SOFTWARE TOOLS Document Management Systems - these tools organize, store and manage documents electronically Data Analytics Tools - software for analyzing and interpreting data to inform business decisions Content Management Systems - enables users to create, edit, and manage digital context without extensive technical knowledge Customer Relationship Management (CRP) Systems - these tools help manage a company’s interactions with current and potential customers Enterprise Resource Planning (ERP) Systems - integrated management systems that streamline processes across various departments