Leadership, Real Estate and Disruptive Technology
Technological Situational Happenstances
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This revised edition explains various archetypes of deft leaderships. Deft leaders were collaborating seamlessly and synergistically with the data analysts (DA), data scientists (DS) and information analysts (IA) in maximizing organizational profit. Examined at the background was the germinal convoluted and obscured meaning of the various leadership styles. Catechized and introduced was the internet of things (IoT) and industrial internet of things (IIoT). Analyzed and presented were the epochs of the real estate trends from the 1800s to the 21st century. Holistically explored was why the Unit...
This revised edition explains various archetypes of deft leaderships. Deft leaders were collaborating seamlessly and synergistically with the data analysts (DA), data scientists (DS) and information analysts (IA) in maximizing organizational profit. Examined at the background was the germinal convoluted and obscured meaning of the various leadership styles. Catechized and introduced was the internet of things (IoT) and industrial internet of things (IIoT). Analyzed and presented were the epochs of the real estate trends from the 1800s to the 21st century. Holistically explored was why the United States economic cyclical peaks and troughs have occurred more than ten times since the last black Friday of the 1929. Despite the sophisticated Wall Street¿s financial experts and wizardry, these cyclical circles would continue particularly in the United States and within the global macro-economics in general. Examples were expounded from the prism of scholastic contra-suppositions in this opus that supported these accessions. Most significantly, innovative leaders used analytics from insights important data extracted from big datasets via TSHs to change, gauge and predict technological pathways or trends. By so doing, these innovators disrupt the existing systems. As a result, the marketplace tectonically shifts globally in their favor. Within this stratum, big data was categorized and introduced. APPLE Corporation¿s used of important data gleaned from large datasets was narratively presented as a case study. Case studies of AOL Time Warner, Hewlett-Packard, UPS, reasons why Microsoft acquired Nokia and Yahoo Corporation were used to illustrate this phenomenon.
