Data Governance Continuous Improvement
Expert-defined terms from the Professional Certificate in Data Governance course at London School of Planning and Management. Free to read, free to share, paired with a professional course.
Accountability in Data Governance refers to the responsibility of individ… #
Related terms include Data Stewardship, Data Quality, and Compliance. In the context of Data Governance Continuous Improvement, accountability involves identifying areas for improvement and implementing changes to ensure that data management practices are aligned with organizational goals and regulatory requirements.
Accuracy in Data Governance refers to the degree of correctness of data,… #
Related terms include Data Quality, Data Validation, and Data Verification. In the context of Data Governance Continuous Improvement, accuracy involves identifying and addressing data inconsistencies and implementing processes to ensure that data is accurate and reliable.
Adaptive Governance in Data Governance refers to the ability of an organization… #
Related terms include Agile Governance, Flexible Governance, and Resilient Governance. In the context of Data Governance Continuous Improvement, adaptive governance involves implementing processes and structures that enable the organization to adapt quickly to changing circumstances.
Agile Data Governance in Data Governance refers to the application of agile</… #
Related terms include Adaptive Governance, Flexible Governance, and Scrum-based Governance. In the context of Data Governance Continuous Improvement, agile data governance involves implementing processes and practices that enable the organization to respond quickly to changing requirements.
Analytics in Data Governance refers to the use of statistical and math… #
Related terms include Business Intelligence, Data Mining, and Predictive Analytics. In the context of Data Governance Continuous Improvement, analytics involves using data to identify areas for improvement and to measure the effectiveness of data management practices.
Anonymization in Data Governance refers to the process of removing or … #
Related terms include Data Masking, Data Encryption, and De-identification. In the context of Data Governance Continuous Improvement, anonymization involves implementing processes and techniques to protect sensitive information.
Architecture in Data Governance refers to the overall design and struc… #
Related terms include Data Architecture, Information Architecture, and Technology Architecture. In the context of Data Governance Continuous Improvement, architecture involves designing and implementing a flexible and scalable data management environment that supports organizational goals.
Artificial Intelligence in Data Governance refers to the use of machine l… #
Related terms include Machine Learning, Deep Learning, and Cognitive Computing. In the context of Data Governance Continuous Improvement, artificial intelligence involves using automated processes to identify areas for improvement and to optimize data management practices.
Audit in Data Governance refers to the process of examining and evalua… #
Related terms include Data Audit, Compliance Audit, and Internal Audit. In the context of Data Governance Continuous Improvement, audit involves identifying areas for improvement and implementing changes to ensure that data management practices are aligned with organizational goals.
Authentication in Data Governance refers to the process of verifying the… #
Related terms include Authorization, Access Control, and Identity Management. In the context of Data Governance Continuous Improvement, authentication involves implementing secure processes and techniques to protect sensitive information.
Authorization in Data Governance refers to the process of granting or … #
Related terms include Authentication, Access Control, and Identity Management. In the context of Data Governance Continuous Improvement, authorization involves implementing secure processes and techniques to protect sensitive information.
Automated Governance in Data Governance refers to the use of automated pr… #
Related terms include Artificial Intelligence, Machine Learning, and Robotic Process Automation. In the context of Data Governance Continuous Improvement, automated governance involves implementing efficient and effective processes to manage and optimize data management practices.
Availability in Data Governance refers to the extent to which data is … #
Related terms include Data Quality, Data Integrity, and System Uptime. In the context of Data Governance Continuous Improvement, availability involves implementing processes and techniques to ensure that data is available and accessible when needed.
Backup and Recovery in Data Governance refers to the process of creating… #
Related terms include Data Backup, Data Archiving, and Disaster Recovery. In the context of Data Governance Continuous Improvement, backup and recovery involve implementing reliable and efficient processes to ensure that data can be recovered quickly and effectively.
Benchmarking in Data Governance refers to the process of comparing an org… #
Related terms include Best Practices, Industry Standards, and Peer Review. In the context of Data Governance Continuous Improvement, benchmarking involves identifying areas for improvement and implementing changes to ensure that data management practices are aligned with industry standards.
Best Practices in Data Governance refer to the most effective and effi… #
Related terms include Benchmarking, Industry Standards, and Guidelines. In the context of Data Governance Continuous Improvement, best practices involve implementing proven and effective processes and techniques to manage and optimize data management practices.
Big Data in Data Governance refers to the large volumes of structured<… #
Related terms include Data Analytics, Data Science, and Machine Learning. In the context of Data Governance Continuous Improvement, big data involves implementing scalable and flexible processes to manage and analyze large volumes of data.
Business Intelligence in Data Governance refers to the process of analyzi… #
Related terms include Data Analytics, Data Science, and Reporting. In the context of Data Governance Continuous Improvement, business intelligence involves using data to identify areas for improvement and to measure the effectiveness of data management practices.
Classification in Data Governance refers to the process of categorizing d… #
Related terms include Data Classification, Data Categorization, and Labeling. In the context of Data Governance Continuous Improvement, classification involves implementing consistent and accurate processes to categorize data and protect sensitive information.
Cloud Computing in Data Governance refers to the use of cloud #
based infrastructure and applications to manage and store data. Related terms include Cloud Storage, Cloud Computing, and Hybrid Cloud. In the context of Data Governance Continuous Improvement, cloud computing involves implementing secure and scalable processes to manage and store data in the cloud.
Compliance in Data Governance refers to the process of ensuring that data… #
Related terms include Regulatory Compliance, Compliance Risk, and Audit. In the context of Data Governance Continuous Improvement, compliance involves implementing effective and efficient processes to ensure that data management practices are compliant with regulatory requirements.
Confidentiality in Data Governance refers to the process of protecting <i… #
Related terms include Data Security, Data Privacy, and Access Control. In the context of Data Governance Continuous Improvement, confidentiality involves implementing secure and effective processes to protect sensitive information.
Continuous Improvement in Data Governance refers to the process of regula… #
Related terms include Data Governance, Data Quality, and Process Improvement. In the context of Data Governance, continuous improvement involves implementing effective and efficient processes to manage and optimize data management practices.
Data Architecture in Data Governance refers to the overall design and … #
Related terms include Information Architecture, Technology Architecture, and Data Modeling. In the context of Data Governance Continuous Improvement, data architecture involves designing and implementing a flexible and scalable data management environment that supports organizational goals.
Data Asset in Data Governance refers to any collection of data that has <… #
Related terms include Data Inventory, Data Catalog, and Data Dictionary. In the context of Data Governance Continuous Improvement, data asset involves identifying and valuing data assets to ensure that they are properly managed and protected.
Data Backup in Data Governance refers to the process of creating and s… #
Related terms include Data Archiving, Data Recovery, and Disaster Recovery. In the context of Data Governance Continuous Improvement, data backup involves implementing reliable and efficient processes to ensure that data can be recovered quickly and effectively.
Data Classification in Data Governance refers to the process of categoriz… #
Related terms include Data Categorization, Data Labeling, and Tagging. In the context of Data Governance Continuous Improvement, data classification involves implementing consistent and accurate processes to categorize data and protect sensitive information.
Data Cleansing in Data Governance refers to the process of identifying an… #
Related terms include Data Quality, Data Validation, and Data Verification. In the context of Data Governance Continuous Improvement, data cleansing involves implementing effective and efficient processes to ensure that data is accurate and reliable.
Data Dictionary in Data Governance refers to a collection of metadata<… #
Related terms include Data Inventory, Data Catalog, and Data Glossary. In the context of Data Governance Continuous Improvement, data dictionary involves creating and maintaining a comprehensive data dictionary to ensure that data is well-defined and easily understood.
Data Encryption in Data Governance refers to the process of converting <i… #
In the context of Data Governance Continuous Improvement, data encryption involves implementing secure and effective processes to protect sensitive information.
Data Governance in Data Governance refers to the overall management and <… #
Related terms include Data Management, Data Quality, and Data Security. In the context of Data Governance Continuous Improvement, data governance involves implementing effective and efficient processes to manage and optimize data management practices.
Data Integration in Data Governance refers to the process of combining da… #
Related terms include Data Warehousing, Data Mart, and ETL (Extract, Transform, Load). In the context of Data Governance Continuous Improvement, data integration involves implementing efficient and effective processes to combine data from multiple sources and provide a unified view of data.
Data Inventory in Data Governance refers to a collection of metadata</… #
Related terms include Data Catalog, Data Dictionary, and Data Glossary. In the context of Data Governance Continuous Improvement, data inventory involves creating and maintaining a comprehensive data inventory to ensure that data is well-defined and easily understood.
Data Lake in Data Governance refers to a repository of raw, unprocesse… #
Related terms include Data Warehouse, Data Mart, and Big Data. In the context of Data Governance Continuous Improvement, data lake involves implementing scalable and flexible processes to manage and analyze large volumes of data.
Data Lineage in Data Governance refers to the process of tracking the … #
Related terms include Data Provenance, Data Pedigree, and Data History. In the context of Data Governance Continuous Improvement, data lineage involves implementing transparent and auditable processes to track the movement and transformation of data.
Data Mart in Data Governance refers to a small , focused repository… #
Related terms include Data Warehouse, Data Lake, and Big Data. In the context of Data Governance Continuous Improvement, data mart involves implementing efficient and effective processes to manage and analyze data to support business decisions.
Data Masking in Data Governance refers to the process of hiding or obs… #
Related terms include Data Encryption, Data Anonymization, and Access Control. In the context of Data Governance Continuous Improvement, data masking involves implementing secure and effective processes to protect sensitive information.
Data Mining in Data Governance refers to the process of discovering pa… #
In the context of Data Governance Continuous Improvement, data mining involves using advanced statistical and mathematical techniques to identify areas for improvement and to measure the effectiveness of data management practices.
Data Modeling in Data Governance refers to the process of creating a c… #
Related terms include Data Architecture, Data Design, and Data Structure. In the context of Data Governance Continuous Improvement, data modeling involves creating and maintaining a comprehensive data model to ensure that data is well-defined and easily understood.
Data Quality in Data Governance refers to the degree to which data is … #
Related terms include Data Cleansing, Data Validation, and Data Verification. In the context of Data Governance Continuous Improvement, data quality involves implementing effective and efficient processes to ensure that data is accurate and reliable.
Data Science in Data Governance refers to the process of using advance… #
Related terms include Data Analytics, Data Mining, and Machine Learning. In the context of Data Governance Continuous Improvement, data science involves using advanced techniques to identify areas for improvement and to measure the effectiveness of data management practices.
Data Security in Data Governance refers to the process of protecting data… #
Related terms include Data Encryption, Data Masking, and Access Control. In the context of Data Governance Continuous Improvement, data security involves implementing secure and effective processes to protect sensitive information.
Data Stewardship in Data Governance refers to the process of managing and… #
Related terms include Data Governance, Data Management, and Data Quality. In the context of Data Governance Continuous Improvement, data stewardship involves implementing effective and efficient processes to manage and optimize data management practices.
Data Validation in Data Governance refers to the process of checking data… #
Related terms include Data Cleansing, Data Quality, and Data Verification. In the context of Data Governance Continuous Improvement, data validation involves implementing effective and efficient processes to ensure that data is accurate and reliable.
Data Visualization in Data Governance refers to the process of presenting… #
Related terms include Data Analytics, Data Mining, and Reporting. In the context of Data Governance Continuous Improvement, data visualization involves using visual techniques to identify areas for improvement and to measure the effectiveness of data management practices.
Data Warehousing in Data Governance refers to the process of storing and… #
Related terms include Data Lake, Data Mart, and Big Data. In the context of Data Governance Continuous Improvement, data warehousing involves implementing scalable and flexible processes to manage and analyze large volumes of data.
Disaster Recovery in Data Governance refers to the process of recovering… #
Related terms include Data Backup, Data Archiving, and Business Continuity. In the context of Data Governance Continuous Improvement, disaster recovery involves implementing reliable and efficient processes to ensure that data can be recovered quickly and effectively.
Encryption in Data Governance refers to the process of converting plai… #
In the context of Data Governance Continuous Improvement, encryption involves implementing secure and effective processes to protect sensitive information.
ETL (Extract, Transform, Load) in Data Governance refers to the process o… #
Related terms include Data Integration, Data Warehousing, and Big Data. In the context of Data Governance Continuous Improvement, ETL involves implementing efficient and effective processes to combine data from multiple sources and provide a unified view of data.
Governance in Data Governance refers to the overall management and ove… #
In the context of Data Governance Continuous Improvement, governance involves implementing effective and efficient processes to manage and optimize data management practices.
Information Architecture in Data Governance refers to the overall design… #
Related terms include Data Architecture, Technology Architecture, and Information Management. In the context of Data Governance Continuous Improvement, information architecture involves designing and implementing a flexible and scalable information management environment that supports organizational goals.
Information Security in Data Governance refers to the process of protecti… #
In the context of Data Governance Continuous Improvement, information security involves implementing secure and effective processes to protect sensitive information.
IT Service Management in Data Governance refers to the process of managin… #
Related terms include IT Service Delivery, IT Service Support, and IT Management. In the context of Data Governance Continuous Improvement, IT service management involves implementing effective and efficient processes to manage and deliver IT services that support data management practices.
Key Performance Indicators (KPIs) in Data Governance refer to the metrics … #
Related terms include Data Quality, Data Security, and Data Governance. In the context of Data Governance Continuous Improvement, KPIs involve identifying and tracking metrics to measure the effectiveness of data management practices and identify areas for improvement.
Machine Learning in Data Governance refers to the use of machine learning… #
Related terms include Data Analytics, Data Science, and Cognitive Computing. In the context of Data Governance Continuous Improvement, machine learning involves using automated processes to identify areas for improvement and to optimize data management practices.
Master Data Management (MDM) in Data Governance refers to the process of… #
Related terms include Data Integration, Data Warehousing, and Data Governance. In the context of Data Governance Continuous Improvement, MDM involves implementing effective and efficient processes to manage and integrate master data from multiple sources.
Metadata in Data Governance refers to the data that describes the stru… #
Related terms include Data Dictionary, Data Catalog, and Data Inventory. In the context of Data Governance Continuous Improvement, metadata involves creating and maintaining a comprehensive metadata repository to ensure that data is well-defined and easily understood.
Metrics in Data Governance refer to the measurements used to evaluate the… #
Related terms include Key Performance Indicators (KPIs), Data Quality, and Data Governance. In the context of Data Governance Continuous Improvement, metrics involve identifying and tracking measurements to evaluate the effectiveness of data management practices and identify areas for improvement.
Monitoring in Data Governance refers to the process of regularly revie… #
Related terms include Data Governance, Data Quality, and Compliance. In the context of Data Governance Continuous Improvement, monitoring involves implementing effective and efficient processes to monitor and assess data management practices.
Networking in Data Governance refers to the process of connecting and … #
Related terms include Data Integration, Data Warehousing, and Cloud Computing. In the context of Data Governance Continuous Improvement, networking involves implementing secure and scalable processes to connect and integrate different systems and applications.
Operational Data Store (ODS) in Data Governance refers to a repository of… #
In the context of Data Governance Continuous Improvement, ODS involves implementing efficient and effective processes to manage and analyze data to support operational decisions.
Privacy in Data Governance refers to the process of protecting persona… #
Related terms include Data Security, Data Encryption, and Access Control. In the context of Data Governance Continuous Improvement, privacy involves implementing secure and effective processes to protect sensitive information.
Process Improvement in Data Governance refers to the process of regularly… #
In the context of Data Governance Continuous Improvement, process improvement involves implementing effective and efficient processes to improve and optimize data management practices.
Quality in Data Governance refers to the degree to which data is accur… #
In the context of Data Governance Continuous Improvement, quality involves implementing effective and efficient processes to ensure that data is accurate and reliable.
Regulatory Compliance in Data Governance refers to the process of ensurin… #
Related terms include Compliance Risk, Compliance Audit, and Regulatory Affairs. In the context of Data Governance Continuous Improvement, regulatory compliance involves implementing effective and efficient processes to ensure that data management practices are compliant with regulatory requirements.
Reporting in Data Governance refers to the process of presenting data in… #
Related terms include Data Analytics, Data Visualization, and Business Intelligence. In the context of Data Governance Continuous Improvement, reporting involves using data to identify areas for improvement and to measure the effectiveness of data management practices.
Risk Management in Data Governance refers to the process of identifying,… #
Related terms include Data Risk, Compliance Risk, and Regulatory Risk. In the context of Data Governance Continuous Improvement, risk management involves implementing effective and efficient processes to identify, assess, and mitigate risks associated with data management practices.