Information and Data management.pdf

INFORMATION AND DATA MANAGEMENT WHAT IS INFORMATION AND DATA MANAGEMENT? Refers to the systematic process of collecting, organizing, storing, and maintaining data and information to ensure their accessibility, reliability, and usefulness. This field encompasses various practices and technologies...

INFORMATION AND DATA MANAGEMENT WHAT IS INFORMATION AND DATA MANAGEMENT? Refers to the systematic process of collecting, organizing, storing, and maintaining data and information to ensure their accessibility, reliability, and usefulness. This field encompasses various practices and technologies aimed at managing information and data effectively throughout their lifecycle.  WHY IS INFORMATION AND DATA MANAGEMENT IMPORTANT IN TODAY'S IT ERA? They enable better decision-making, enhance operational efficiency, and ensure data security and privacy. By organizing and analyzing data effectively, businesses can make informed decisions, streamline processes, and reduce costs. Proper data management also protects sensitive information from breaches and ensures compliance with privacy regulations. Additionally, it helps in delivering personalized customer experiences and supports scalability as data volumes grow. Ultimately, efficient data management drives innovation and maintains a competitive edge in the rapidly evolving digital landscape.  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT DATA COLLECTION DATA STORAGE the preservation of collected data in a secure and organized Gathering information from various sources, such as manner. This can be achieved through various methods such as surveys, interviews, observations, and sensors, to be traditional databases, data warehouses, and modern solutions like analyzed and used for decision-making, strategic planning, data lakes and cloud storage. and other purposes. Effective data storage ensures that data is readily accessible, Effective data collection ensures the accuracy and protected from unauthorized access, and recoverable in case of reliability of the data, which is essential for generating system failures. With the exponential growth of data, scalable storage solutions like Amazon S3, Google Cloud Storage, and meaningful insights. By using various methods, Microsoft Azure are increasingly vital, allowing organizations to organizations can obtain a comprehensive view of their manage large volumes of data efficiently. Proper data storage not operations, customer preferences, and market trends, only supports data integrity and availability but also facilitates enabling them to make informed decisions and maintain a advanced analytics and business intelligence, driving informed competitive edge. decision-making and operational excellence.  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT DATA ORGANIZATION DATA MAINTENANCE is the method that arranges raw data into many The process of maintaining data current, accurate, and categories. This raw data contains observations of reliable across time. It include updating data, fixing variables. For example, data organization is the inaccuracies and ensuring that the information is accurate and complete. arrangement of students' grades in various topics. it is relevant for businesses because it helps to ensure that Data organization allows us to arrange data in a way the data they use for decision-making remains accurate and that makes it easier to read and work with. Working with reliable over time. By keeping data up-to-date, businesses raw data is challenging, as is analyzing it. As a result, in can avoid making decisions based on outdated or incorrect order to properly display the data, we must first information, which can negatively impact their operations organize it. and profitability.  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT DATA ACCESS AND DATA ANALYSIS AND REVIVAL REPORTING Data access is the capacity to retrieve and use data is the act of gathering, evaluating, and conveying contained in a database or another storage system. data in an understandable manner to aid decision- It covers a wide range of tasks, including retrieval of making and company performance. This competence information, management, evaluation, and security. entails controlling data quality, developing and The goal of data access is to give individuals and deploying analytical tools, and presenting data organizations the capacity to obtain or retrieve data findings to partners. stored in a repository, allowing them to access, shift, or change it for a variety of purposes.  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT DATA SECURITY AND DATA GOVERNANCE PRIVACY It is the process of controlling the accessibility, usability, The practice of protecting electronic data throughout its accuracy, and safety of data in corporate systems using life cycle from fraud, theft, or illegal access. It includes internal norms and regulations that also govern data usage. everything: hardware, software, storage media, and user Effective data governance guarantees that data is reliable, connections; accessible and management controls; and credible, and not exploited. organizational rules and procedures. It's becoming increasingly important as firms confront tighter Data privacy is the safeguarding of individuals' personal data privacy requirements and rely increasingly on predictive details and guaranteeing that it is managed in a way which analytics to improve processes and generate business adheres to their rights and wishes. decisions.  KEY COMPONENTS OF INFORMATION AND DATA MANAGEMENT DATA INTEGRATION DATA LIFECYCLE implies the process of merging and integrating data MANAGEMENT from different sources into a single, cohesive format is a policy-based method that uses standard procedures to monitor the flow of info across a database system's duration, that may be used for a variety of conceptual, from production to disposal. It comprises steps such as functioning, and strategic decisions. retention, copies, preservation, and disposal. It is used by enterprises that manage specific, confidential information it tries to address these difficulties by combining subject to legal obligations. data from many sources and translating it into an organized manner. The goal of DLM is to ensure that data is available to the relevant people at times that are appropriate.  TECHNOLOGIES AND TOOLS Databases (SQL and NoSQL). Data warehouses and data lakes. Data integration tools. Business intelligence tools. Data governance and security tools.  DATABASES A database is a systematic set of structured information, or data, that is usually saved electronically in an electronic system. A DBMS, or database management system, is typically used to manage databases. A database system, or simply database, refers to the data, the DBMS, and the programs that are linked with them. DATA WAREHOUSES AND DATA LAKES Data lakes, like real lakes, comprise various sources ("rivers") of data, both organized and unorganized, that feed into a single unified location. Data warehouses are intended for storing pre-structured data that can be accessed and examined for specific reasons. DATA INTEGRATION TOOLS. Data integration is the method of merging data from various source platforms into cohesive sets of information for operational and analytical purposes.  BUSINESS INTELLIGENCE lagyan TOOLS collect, process, and analyze large amounts of structured and unstructured data from both internal and external systems. Data sources might include documents, images, email, videos, journals, books, social media posts, files, and more. BI tools find this information through queries, which can present the data in user-friendly formats such as reports, dashboards, charts, and graphs. DATA GOVERNANCE AND SECURITY TOOLS are vivid reminders of the rules, regulations, and guidelines that must be followed in order to strike a balance between the utility of data and the certainty of trust, which can assist businesses in confidently bringing their data to life. REFERENCES: Add a subheading  THANK YOU FOR LISTENING