A data strategy is a long-term plan that defines the technology, processes, people, and rules required to manage an organization’s information assets. All types of businesses collect large amounts of raw data today. They need a well-thought-out data management and analysis plan, however, if they want to use this information to make informed decisions. CMS Wire brought this interesting topic to us in their article, “Creating a Clearly Articulated Data Strategy.”

How important is a data strategy to the future of an organization? It creates a foundation of business-based knowledge Рbusiness intelligence Рfor important business decisions. To ensure employees have the right data for decision-making, companies must invest in data management solutions that improve visibility, reliability, security, and scalability.

A well-thought-out data strategy will help you organize your data in a way that yields useful insights for making data-driven business decisions. Your team will be able to quickly access refined data and make informed decisions for boosting performance and revenue.

Making data accessible is key. Whatever the search, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.