Question

Compare and contrast Gartner's Hype Cycle with the technology S-Curve, explain, from your own opinion:

- What are their similarities?

- How do they differ?

- Which one is better or more suitable for your use? Why?

Answer 1

Meaning of Gartner's Hype Cycle: Its a graphical representation of the technology which helps the business to take technology decisions with their comfort and risk. In other words it can say that its a graphical representation of the life cycle which shows the adoption,maturity and the application of the technologies.

Meaning of S- Curve: S- Curve stands for Sigmoid function. It is a graph which shows the company's sales within a period of time. In other words it can say that S- curve shows the cumulative costs,labour,sales within a set limit of time.

Similarities: Gartner's Hype cycle and S- Curve has the main similarity is that they both shows in a graphical representation and they mainly use for the business purposes. They both shows the trends and growth of the business.

Difference: Gartner's Hype cycle shows the life cycle of the technology which helps in taking the technology decisions whereas the S- Curve shows the costs,labour,sales within a period of time. S- Curve graph also helps in taking the technology decisions but Gartner's hype cycle does not show the costs,labour etc.

Best Method: S- Curve graph is better than Gartner's Hype cycle because S- Curve shows everything like - technology , costs,labour,sales etc. But in Gartner's Hype cycle only shows the trends of technology and it helps in taking the technology decisions but it doesn't show the costs,labour etc.

Summary: There are many graphical representation which shows the technology trends,labour,costs etc. So S- Curve and Gartner's Hype cycle both shows the graphical representation. But they have the differences in between. Gartner's Hype cycle shows only the technology but S- Curve shows the technology trends,costs,labour,time etc. So, S- Curve is the best method to use for the business purpose as it shows everything.