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 significant amount of this unstructured data is in the form of non-traditional records, like text and social media messages, audio files, video, and images. Automation can streamline data lifecycle management by automating workflows and ensuring data is appropriately handled at each stage, minimizing the chance of data mishandling or retention beyond its expiration.
Automated data integration processes can help consolidate and synchronize data from various sources, ensuring that data is up-to-date and accurate across all systems. This improves data consistency and reduces the likelihood of data silos.
Overall, automation in data governance enables organizations to manage data more efficiently, maintain data integrity, comply with regulations, and ensure data security, leading to better decision-making and increased trust from customers and stakeholders.
Search has become more intelligent, personalized, and diverse, by leveraging technologies to deliver faster and more accurate results across a wide range of platforms and devices. Making the content findable is important to knowledge management.
Metadata makes digital content findable. Findability, however, works only when a proper taxonomy is in place. Proper indexing against a strong standards-based taxonomy increases the findability of data. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies.
Melody K. Smith
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