IML-PRELIMS.pdf

IML – IMFORMATION MANAGEMENT 1ST PRELIMS LESSON 1: INTRODUCTION OF INFORMATION MANAGEMENT INFORMATION MANAGEMENT E. EXEC...

IML – IMFORMATION MANAGEMENT 1ST PRELIMS LESSON 1: INTRODUCTION OF INFORMATION MANAGEMENT INFORMATION MANAGEMENT E. EXECUTIVE INFORMATION SYSTEMS  A system to use and manage to save and collect data  EX: a CEO’s EIS may include a special spreadsheets  IMS or Information Management System, is different in that present financial data comparing the compy to its every establishment, It also contain rule and protocols that principal competitors and graphs showing current allows stakeholders to save and collect data. economic and industry trends.  If for sharing: it can use Network.  EX: Crypto Currency o Example: Cloud Services, Cloud Storage, Cloud providers (AWL, Google Cloud, Microsoft Azume) DATA vs. INFORMATION 1. Data FEATURES OF AN IMS  Unstructured information such as text, observation, 1. Collecting Information images and descriptions  Business measuring data, Converting into different formula. 2. Information  Refers to processed organized and structures data. 2. Storing Information  It gives context to the facts and facilities decision  Save and preserve data. making 3. Processing Data INFORMATION LIFE CYCLE  Any set of procedures that deliver results \an A. CAPTURE DATA information management systems (IMS) automates data  Organizations continuously create data and collect processing and displays the findings effectively. data from external sources. That data be generated manually or automatically 4. Distributing Information  Data sources can include social media, industrial  Process of conveying information to its stakeholders internet of thing (IoT).  Corporate collateral, user-generated content, 5. Accessing Information customer input, sales-records or a wide range of other  To provide information in formats that allow stakeholder sources. to avail themselves of the content. B. STORE DATA DIFFERENT TYPES OF INFORMATION MANAGEMENT  Organization that create and collect data must find SYSTEMS ways to effectively store the data A. Transaction Processing Systems (TPS)  They might store the date in file, block or object  EX: Sales order entry, Hotel reservation systems, storage systems. They might use different types of Payroll employee record, Book keeping and skipping. storage media and configurations such as network- attached storage or storage area networks  They might store their data on premises, in the clod, B. Office Automation System (OAS) or a combination of both/  EX: Collaboratiing, Communication (Email), Document C. MANAGE DATA C. Knowledge Management System (KMS)  It’s not enough to simply store date.  EX: Customer support knowledge base and help  Organization must also be able to effectively manage center, Online Communities, AI powered chatbots that data  They must ensure the data’s security, availability and D. Decision Support System (OSS) compliance with corporate, industry, and government  EX: Business in all industries can benefit from DSS regulations. Software such as GPS  They also classify the date, compress or de-duplicate  GPS can analyze route information and traffic data to the date, or implement a system for monitoring their plan the best path between pieces. data and storage systems. D. TRANSFORM DATA  Few organization simply capture and store data without transforming it in various ways to make it easier to access and understand.  As part of this process, they might cleanse, filter, aggregate, enrich, merge or, in some other way, modify the data to meet their business needs. E. USE DATA  The purpose of capturing, storing and transforming data is to ensure that users and application have the data they need to conduct business and carry out their assigned tasks.  During this phase, user might view, modify, share or collaborate on data.  They might also analyze data or use it to generate reports. F. ARCHIVE DATA  Once data is no longer needed on a daily basis, it si often archived in case it’s required for future business needs or to meet regulatory or legal requirements  Organizations typically use slower and cheaper storage systems because data access requirements are minimal  Although archiving data can be an important phase in ILM process, not all data needs to be archived.  For example, data collected by IoT devices might need to be retained only if anomalies have been discovered or only until it has been aggregated and analyzed. G. DESTROY DATA  When an organization is certain that the data is no longer need and it’s not subject to regulatory or legal requirement, it is considered to be at the end of its useful life and can be deleted.  The destruction phase is an important step in the ILM process because it reduces the amount of data that has to be stored and the organization’s potential liability.  All data maintenance and storage come with overhead and costs, even if the date is not needed.  So the sooner that data can be safely deleted, the better.  In addition, if data is not deleted in a timely manner, it can make it more difficult to work with the current data and make informed business decisions based on that fresh data.