Answer:
A disruptive technology sweeps away the systems or habits it replaces because it has attributes that are recognizably superior. Recent disruptive technology examples include e-commerce, online news sites, ride-sharing apps, and GPS systems.
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def dx(fn, x, delta=0.001):
return (fn(x+delta) - fn(x))/delta
def solve(fn, value, x=0.5, maxtries=1000, maxerr=0.00001):
for tries in xrange(maxtries):
err = fn(x) - value
if abs(err) < maxerr:
return x
slope = dx(fn, x)
x -= err/slope
raise ValueError('no solution found')
Answer:
1. The data will not be tallying up - there will great variations and deviance.
2. There will be not enough data points
Explanation:
The management style, though it uses one manager, is not devoid of problems in the system. For example, there will be great difficulty in the collection of accurate data to properly define the system. This presents a great misinformation on the outcome of the data process. This is likely to be caused by the first factor that is the data having a lot of discrepancies. The discrepancy causes the data to be meaningless in terms of the trends displayed. In addition, the lack of enough points posses a challenge to the data collection and processing procedure. The data base management system can be used to concentrate data on a central point of reference.
The characteristic of the WAN hub and spoke topology is that
it is considered to be a branch site or composed of the branch site in which
they are likely to be connected to a site that is central and that is through
the point to point links.