question archive As your going through your observation, look for oddities, things that don't belong together and provide contrasts with one another

As your going through your observation, look for oddities, things that don't belong together and provide contrasts with one another

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As your going through your observation, look for oddities, things that don't belong together and provide contrasts with one another. These can be opposites, asymmetricalities, or just plain, everyday strangeness. In other words, look for the things that don't belong. For example, the big round bumpers at the front of a Target store always seem so out of place amidst the angular look of the building and the parking lot. As always 5 paragraphs and 500 words.

 

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Visual Business

Many businesses have identified the need for data and its value in making decisions. Optics usually take the form of displays, whether in physical arrangement or statistical methods. Statistical analyses have allowed many investors to predict lucrative businesses in which they can invent. Graphical presentations are the easiest visual business analyses since they offer instant studies of the current business scenario. Investors have the advantage of making quick decisions by monitoring the trends and can determine several other factors that may include inventory levels and past records. There is also the advantage of easy interfacing, where graphs and figures can be produced on screens and other output devices. Finding and interpreting the results may be one of the most manageable tasks. For instance, the stock market has become one of the most illustrative applications for visual business.

The physical arrangement emphasizes attractive stocks organized in displays. Fast-moving consumer goods utilize multi-color presentations that are appealing to the eyes. However, their mixture may be confusing hence impairing decision making. It may also be challenging to differentiate competing products simply by looking at them.

Statistical presentations have made stock values as predictable as possible, thus making it easier for speculative investors to tell beforehand which stocks are likely to increase their value and the expected margins (Täuscher, & Abdelkafi, 2017). It could be easier to integrate predictive programs that could foretell the outcomes several years ahead. However, the predictions are based on the extrapolation of the existing data. They may ignore several external features and the internal dynamics that may hinder or support the progression of the figures. Therefore, the unknown future may not be reduced to a standard mathematical formula or algorithm and require frequent adjustments.

Another application is sports gambling, where gamblers can visualize the odds hence make quick decisions. Odds are represented by figures, unlike stocks which take a graphical format. Odds are visualized on the most expected outcomes; thus, the business is driven by visualization. Besides, the optics take the form of the teams’ reputation, but not on their recent form on the pitch. One symmetry is that the participants are less likely to rationalize the figures behind the visualizations, thus generalizing the outcomes. Despite statistics being predictive, the statistical data is short-term oriented (Figl, 2017). Therefore, the lasting effects of stock or odd may not be easily determined. For instance, stocks on major vaccine manufacturers predicted a bleak future for those organizations two years ago. However, the businesses have transformed into major forces on NASDAQ and appear lucrative. However, it may be challenging to expect similar outcomes in the foreseeable future since the pandemic dynamics may not be the same as the optics are.

Visual businesses have increased recently due to the convincing nature of optics. Consumers are less willing to look at the dynamics behind the figures and the colors, while rush decisions also drive up sales. The businesses also meet their objectives quickly since they eliminate the need for clarifications. Investors like deals that appear promising. Many buyers are unlikely to ascertain the quality of their investments if their presentation is colorful.

Visual Business

Many businesses have identified the need for data and its value in making decisions. Statistical analyses have allowed many investors to predict lucrative businesses which they can invents in. For instance, the stock market has become one of the most illustrative applications for visual business. Statistical presentations have made stock values to be as predictable as possible, thus making it easier for speculative investors to tell beforehand which stocks are likely to increase their value and the expected margins. Another application is the sports gambling where gamblers can visualize the odds hence make quick decisions. Odds are visualized on the most expected outcomes, thus the business is driven by visualization. Besides, the optics take the form of the teams’ reputation, but not on their recent form on the pitch. One symmetry is that the participants are less likely to rationalize the figures behind the visualizations, thus generalizing the outcomes. Despite statistics being predictive, the statistical data is short-term oriented. Therefore, the lasting effects of a stck or odd may not be easily determined. For instance, stocks on major vaccine manufacturers were predicting a bleak future for those organizations two years ago. However, the businesses have transformed into major forces on NASDAQ and appear lucrative. However, it may be difficult to expect similar outcomes in the foreseeable future since the pandemic dynamics may not be the same as the optics are.