Many corporations are integrating data capture and analysis into their decision-making processes. In fact, many business executives are enhancing their skills to allow them to integrate analytical tools into their business decision-making practices. This interesting topic came to us from InfoWorld in their article, “3 data quality metrics dataops should prioritize.”
Data-driven decisions require data that is trustworthy, available and timely. We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy.
Data is the most important asset in the organization. Data teams are tasked with delivering a high quality data asset to their internal customers, at scale. This is easier said than done. Aside from the technical obstacles, there are huge human challenges in terms of communication, collaboration and internal alignment. To overcome these, we need a new way of working with data.
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 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
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
