Data Driven Integrity

Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, it is critical to establish…

Read More

Can You See the Data?

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 visibility means knowing what data you have and where it came from, and…

Read More

Governing Healthcare Data

Data governance in healthcare is essential for upholding patient privacy, ensuring data integrity, supporting clinical decision-making, facilitating research, and maintaining regulatory compliance. All these measures ultimately contribute to better patient care and overall healthcare system efficiency. This interesting information came to us from Health Leaders in their article, “Why Data Governance in Healthcare is Essential…

Read More

Building Trust

Trust is a rare commodity in the digital age and in any industry. Between artificial intelligence (AI)-created content and questionable standards of ethics, it has never been harder to trust data. Data is nevertheless essential for making informed decisions and avoiding costly mistakes. This interesting topic came to us from Information Week in their article,…

Read More

Data and Findability

Data governance is often overlooked and needs to be understood within enterprise IT. Info World brought this interesting topic to our attention in their article, “Data should be a first-class citizen in the cloud.” Data is often tied to specific cloud platforms or services or is otherwise coupled in a proprietary way. This makes migrating to…

Read More

Driving Technology with Data

Data quality is of utmost importance in today’s data-driven world. High-quality data serves as the foundation for making informed decisions, deriving accurate insights, and developing effective strategies. MarTech brought this interesting information to our attention in their article, “6 marketing automation use cases where AI can help with data quality.” Data quality directly impacts the…

Read More

Data Integrity’s Impact

Data is swiftly overtaking physical assets in terms of value to organizations. Keeping data safe, private, consistent, and of high quality is as important to enterprises today as maintaining factory machinery was in the industrial age. Tech Target brought this interesting topic to our attention in their article. “Enhance data governance with distributed data stewardship.”…

Read More

Improving Data Governance with Automation

Automation can play a significant role in improving data governance by enhancing data quality, security, and compliance. CIO brought this interesting topic to us in their article, “How automation enables better data governance.“ Every day people create an estimated 2.5 quintillion bytes of new data. More than 60% of corporate data is unstructured and a…

Read More

Integrity is Important

Data integrity is of paramount importance in business decision-making. Improving data integrity involves implementing measures to ensure the accuracy, consistency, and reliability of data throughout its lifecycle. CMS Wire brought this interesting topic to us in their article, “Maximizing AI and Machine Learning with Quality Data.” In conjunction with data integrity, establishing robust data governance practices…

Read More