Understanding Data
Organizations committed to data driven decision making often share common concerns about privacy, data integrity, and a lack of sufficient data. Synthetic data allows companies to share data and create algorithms more easily. This interesting information came to us from MIT’s Sloan School of Management in their article, “What is synthetic data — and how…
Read MoreCyber Science and Business
Using the scientific method is a common-sense approach to cybersecurity. While most publications in the field emphasize that scientific principles are necessary, however, few guides seem helpful for cybersecurity. This interesting news came to us from ISACA in their article, “The Science of Cybersecurity and its Future Challenges.” As cyberthreats evolve and grow at an…
Read MoreTaxonomies and Customer Management
Applying a well-planned, custom taxonomy to your content can transform how you communicate with your customers. It organizes your information and provides immense return on investment through improved content discovery. It makes your online marketing and customer self-service more agile. It also makes your business more self-aware and able to find new value opportunities. Solutions…
Read MoreThe Importance of Data
Data has never been more powerful, useful, and insightful. This is true for healthcare data, business data, and data collected by Human Resources departments. Human Resource Executive brought this interesting information to our attention in their article, “Your HR data is extremely valuable—how to do more with it.” Too often in Human Resources, we think…
Read MoreMoving Science and Technology Along
People are impatient. Nothing is ever fast enough. This easily applies to science and discoveries. Never enough and never fast enough. This interesting topic came to us from The Scholarly Kitchen in their article, “Guest Post — Is Science Too Slow to Change the World?“ Critics of scientific reform say that transparency comes at the…
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 MoreFighting Fraud
Internet fraud continues to be a menace in society, especially in healthcare and financial institutions. Many fintech companies have been victims of fraud. Detection of these attacks comes via two paths: through inconsistent traditional methods or using ever-growing artificial intelligence (AI) mechanisms. Entrepreneur brought this interesting information to us in their article, “How AI and Machine Learning…
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 MoreData Management and Business Intelligence
As many data preparation and -management tasks get automated, insight generation and action are the next likely targets for automation. Tech Target brought this topic to us in their article, “Automation, more security and governance next big BI trends.” Business intelligence (BI) is about taking proactive decisions to pull together information that answers questions about…
Read MoreThe Digital Taxonomist
A clear taxonomy keeps your content organized and allows your audience to easily find your content through either the navigation structure on your website or through search. Both digital taxonomists with metadata and cataloging librarians employ knowledge management and organization based on the same information science theories, but the applications and environments in which they…
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