Data Management
Expert-defined terms from the Professional Certificate in IBM Certified Maximo Manage v9.0 Functional Deployment course at Greenwich School of Business and Finance. Free to read, free to share, paired with a professional course.
Data Management #
Data Management
Data Management refers to the process of collecting, storing, organizing, and ma… #
It involves various activities such as data cleansing, data integration, data transformation, and data governance to enable organizations to make informed decisions based on reliable data.
Maximo Asset Management #
Maximo Asset Management
Maximo Asset Management is an enterprise asset management (EAM) software solutio… #
It provides tools for asset tracking, maintenance planning, work order management, inventory control, and reporting to optimize asset performance and reduce downtime.
IBM Certified Maximo Manage v9 #
0 Functional Deployment
The IBM Certified Maximo Manage v9 #
0 Functional Deployment certification is designed for professionals who are responsible for deploying and configuring the Maximo Asset Management software in an organization. This certification validates the candidate's knowledge and skills in implementing Maximo solutions to meet the business requirements of the organization.
Data Governance #
Data Governance
Data Governance is a set of policies, processes, and controls that ensure data q… #
It defines the roles and responsibilities for managing data assets, establishes data standards, and enforces compliance with regulatory requirements to mitigate risks associated with data usage.
Data Cleansing #
Data Cleansing
Data Cleansing, also known as data scrubbing, is the process of identifying and… #
It involves removing duplicate records, standardizing formats, correcting spelling mistakes, and validating data against predefined rules to ensure data integrity.
Data Integration #
Data Integration
Data Integration refers to the process of combining data from multiple sources i… #
It involves extracting data from disparate systems, transforming it into a common format, and loading it into a target database or data warehouse for easy access and retrieval.
Data Transformation #
Data Transformation
Data Transformation is the process of converting data from one format or structu… #
It involves mapping data fields, applying business rules, and performing calculations or aggregations to transform raw data into meaningful information for analysis and reporting.
Data Quality #
Data Quality
Data Quality refers to the accuracy, completeness, consistency, and reliability… #
It is essential to ensure that data meets the business requirements and can be trusted for making informed decisions. Data quality issues such as missing values, incorrect entries, and outdated information can impact the effectiveness of data-driven processes.
Data Security #
Data Security
Data Security is the practice of protecting data from unauthorized access, discl… #
It involves implementing security measures such as encryption, access controls, authentication, and monitoring to safeguard sensitive information from cyber threats and data breaches.
Data Warehouse #
Data Warehouse
A Data Warehouse is a centralized repository that stores structured data from mu… #
It provides a historical view of data over time and enables organizations to extract insights, trends, and patterns to support decision-making and strategic planning.
Data Migration #
Data Migration
Data Migration is the process of transferring data from one system to another, t… #
It involves extracting data from the source system, transforming it as needed, and loading it into the target system while ensuring data integrity and consistency.
Data Archiving #
Data Archiving
Data Archiving is the practice of moving data that is no longer actively used to… #
It helps organizations free up storage space, reduce costs, and improve system performance by keeping only relevant data in the production environment.
Data Backup #
Data Backup
Data Backup is the process of creating copies of data to protect against data lo… #
It involves regularly backing up critical data to external storage devices, cloud services, or offsite locations to ensure data recovery in case of a disaster or system failure.
Data Retention #
Data Retention
Data Retention refers to the policy or practice of retaining data for a specific… #
It defines the duration for which data should be kept, archived, or deleted to ensure compliance with legal obligations and operational efficiency.
Data Governance Council #
Data Governance Council
A Data Governance Council is a cross #
functional team within an organization responsible for establishing data governance policies, standards, and practices to ensure data quality, security, and compliance. It includes representatives from business units, IT, legal, and compliance departments to oversee data management initiatives and resolve data-related issues.
Data Stewardship #
Data Stewardship
Data Stewardship is the role or function responsible for managing and maintainin… #
Data stewards are accountable for data quality, integrity, and security, and they work closely with data owners, users, and IT teams to ensure that data meets business requirements and regulatory standards.
Master Data Management #
Master Data Management
Master Data Management (MDM) is a methodology and technology framework for manag… #
It involves creating a single, authoritative source of master data to eliminate duplicates, inconsistencies, and inaccuracies in data records.
Data Dictionary #
Data Dictionary
A Data Dictionary is a centralized repository that contains metadata and data de… #
It provides a comprehensive catalog of data attributes, relationships, and business rules to facilitate data integration, governance, and understanding across different systems and applications.
Data Modeling #
Data Modeling
Data Modeling is the process of designing and creating a data model that represe… #
It involves defining entities, attributes, and relationships using conceptual, logical, and physical models to support data analysis, querying, and reporting.
Data Visualization #
Data Visualization
Data Visualization is the graphical representation of data using charts, graphs,… #
It helps users understand complex data sets, identify outliers, and make data-driven decisions by presenting information in a visually appealing and interactive format.
Data Analytics #
Data Analytics
Data Analytics is the process of analyzing data to extract meaningful insights,… #
It involves using statistical techniques, machine learning algorithms, and data visualization tools to explore, interpret, and derive value from large datasets.
Data Science #
Data Science
Data Science is an interdisciplinary field that combines statistics, machine lea… #
Data scientists use data mining, predictive modeling, and advanced analytics techniques to uncover hidden patterns, solve complex problems, and drive innovation in various industries.
Big Data #
Big Data
Big Data refers to large volumes of data that are too complex or unstructured to… #
It includes structured data from databases, unstructured data from social media, and semi-structured data from IoT devices, requiring specialized technologies like Hadoop, Spark, and NoSQL databases for storage, processing, and analysis.
Data Privacy #
Data Privacy
Data Privacy is the protection of personal information and sensitive data from u… #
It involves implementing privacy policies, consent mechanisms, and data protection controls to comply with data protection regulations such as GDPR, CCPA, and HIPAA.
Data Governance Framework #
Data Governance Framework
A Data Governance Framework is a structured approach to defining and implementin… #
It includes guidelines for data management, data quality, data security, and compliance to promote a culture of data stewardship and accountability across business units and IT departments.
Data Quality Management #
Data Quality Management
Data Quality Management is the practice of monitoring, measuring, and improving… #
It involves establishing data quality metrics, implementing data quality tools, and conducting data quality assessments to ensure data accuracy, completeness, and consistency.
Data Security Policy #
Data Security Policy
A Data Security Policy is a set of rules and guidelines that govern the protecti… #
It outlines the security controls, encryption protocols, access permissions, and incident response procedures to safeguard sensitive data and mitigate cybersecurity risks within an organization.
Data Governance Strategy #
Data Governance Strategy
A Data Governance Strategy is a high #
level plan or roadmap that outlines the goals, objectives, and initiatives for implementing data governance within an organization. It defines the scope, roles, responsibilities, and key performance indicators (KPIs) for measuring the effectiveness of data governance practices and ensuring alignment with business goals.
Data Management Plan #
Data Management Plan
A Data Management Plan is a formal document that outlines the policies, procedur… #
It includes data acquisition, data storage, data processing, data sharing, and data retention strategies to ensure data integrity, security, and compliance with regulatory requirements.
Database Management System #
Database Management System
A Database Management System (DBMS) is software that enables users to create, ac… #
It provides tools for defining data structures, querying data, optimizing performance, and ensuring data integrity to support transaction processing, reporting, and decision-making.
Data Governance Framework #
Data Governance Framework
A Data Governance Framework is a structured approach to defining and implementin… #
It includes guidelines for data management, data quality, data security, and compliance to promote a culture of data stewardship and accountability across business units and IT departments.
Data Quality Management #
Data Quality Management
Data Quality Management is the practice of monitoring, measuring, and improving… #
It involves establishing data quality metrics, implementing data quality tools, and conducting data quality assessments to ensure data accuracy, completeness, and consistency.
Data Security Policy #
Data Security Policy
A Data Security Policy is a set of rules and guidelines that govern the protecti… #
It outlines the security controls, encryption protocols, access permissions, and incident response procedures to safeguard sensitive data and mitigate cybersecurity risks within an organization.
Data Governance Strategy #
Data Governance Strategy
A Data Governance Strategy is a high #
level plan or roadmap that outlines the goals, objectives, and initiatives for implementing data governance within an organization. It defines the scope, roles, responsibilities, and key performance indicators (KPIs) for measuring the effectiveness of data governance practices and ensuring alignment with business goals.
Data Management Plan #
Data Management Plan
A Data Management Plan is a formal document that outlines the policies, procedur… #
It includes data acquisition, data storage, data processing, data sharing, and data retention strategies to ensure data integrity, security, and compliance with regulatory requirements.
Database Management System #
Database Management System
A Database Management System (DBMS) is software that enables users to create, ac… #
It provides tools for defining data structures, querying data, optimizing performance, and ensuring data integrity to support transaction processing, reporting, and decision-making.