Everyone wants to predict the future. Forecasting market developments and customer needs is as close as we might get. It is also an essential component of corporate strategy and planning. To meet this challenge, strategic planners, financial controllers, and business intelligence experts seek out the best tools, techniques, and solutions to give them a competitive edge in business forecasting. Investopedia brought this interesting topic to us in their article, “Forecasting: What It Is, How It’s Used in Business and Investing.”
Forecasting can help guide a company in growing more profitably and responding quickly to changes. The identification and processing of relevant data is key to viewing the future with as little bias as possible. Also, it’s helpful to know the general principles of forecasting, what it can and cannot do, and the appropriate techniques suited to the needs of the moment.
At the end of the day, that data 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
| 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.
