Posts Tagged ‘Data governance’
Data and All Its Forms
Data integrity is the basis of any decision made using data, and one way to insure it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in…
Read MoreAnalytics and Data Monetization
Data monetization is the process where company-generated data is used to create a measurable economic benefit. This can include selling data to third parties or using data internally to improve processes or realize new innovation opportunities. This interesting subject came to us from ITWeb in their article, “Data monetisation brings rewards for good governance.” Data monetization…
Read MoreData Governance and AI
Artificial intelligence (AI) governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly. This interesting information came to us from Fortune in their article, “Investors are pouring billions into artificial intelligence. It’s time for a…
Read MoreThe Power of Integrity
Data integrity is the overall accuracy, wholeness, and consistency of data. Data integrity refers to the safety of data in regard to regulatory compliance and security. This interesting information came to us from Solutions Review in their article, “Leveraging Data Integrity to Drive Success in Digital Transformation, ESG, and Supply Chain Resiliency.” More business leaders than…
Read MoreToday’s Data Governance Needs
Data integrity is the basis for any data decision, and one way to protect it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in 2022.“ Modern…
Read MoreExacting Value from Data
All organizations need to plan how they use data, so that it is handled consistently throughout to support profitable outcomes. Organizations successfully accomplishing that consider the who, what, how, when, where, and why of data in advance, not only to ensure security and compliance but to extract value from all the information collected and stored.…
Read MoreThe Relationships of Data
Data integrity is the basis of any decision made using data, and one way to insure it is through a comprehensive and solid data governance strategy and policy. MarkTech Post brought this subject to our attention in their article, “What is Data Governance? Top Data Governance Tools for Data Science and Machine Learning Research in…
Read MoreManaging Risks with AI
It is understood that artificial intelligence (AI) models that are built on consumer data must also be built with data privacy in mind. Some users are hesitant of automated systems that collect and use their data, so to remain viable, AI models must incorporate privacy protection into their design. This interesting information came to us…
Read MoreContaining the Data
Data fragmentation refers to the dispersion of an organization’s data assets. The more data you have from different sources and stored in different spaces, the more likely it is to be scattered. This interesting information came to us from Blocks and Files in their article, “Data fragmentation needs a data intelligence fix.” Data governance means knowing…
Read MoreRegulating Data
Data integrity is a broad discipline that informs how data is collected, stored, accessed, and used. The idea of integrity is a central element of many regulatory compliance frameworks, such as the General Data Protection Regulation (GDPR). It is the assurance that digital information is uncorrupted and can only be accessed or modified by those authorized to…
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