With the proliferation of consumer data comes the opportunity for better understanding and targeting of prospects and customers. If businesses want to take advantage of this data, they must think strategically. This interesting information came to us from Eye on Annapolis in their article, “Data Analytics in Machine Learning.”
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. However, they need a well-thought-out data management and analysis plan if they want to use this information to make informed decisions. A data strategy outlines an organization’s long-term vision for collecting, storing, sharing, and using of its data.
The possession alone of the data is insufficient for interpreting and understanding it. One cannot determine which data is relevant to a particular set of audiences without contextualizing it. The data must be capable of instilling in employees a culture of data discovery, as well.
At the end of the day, content needs to be findable and, that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
