Magic Quadrant

Magic Quadrant

Magic Quadrant!

You will find the Gartner Magic Quadrants very useful in comparing the major players in the Technology space. If you are not familiar with the Magic Quadrant methodology, here is a brief summary:

Market players are Evaluated by 2 Major Criteria:
(1) Completeness of Vision, and
(2) The Ability to Execute

The Higher – the Better

Quadrant is a 2×2 matrix, thus there are 4 classes:
(1) Niche Players – Lower on both Completeness of Vision and Ability to Execute
(2) Challengers    – Higher Ability to Execute, Lower Completeness of Vision
(3) Visionaries     – Lower Ability to Execute, Higher Completeness of Vision
(4) Leaders             – Higher on both Completeness of Vision and Ability to Execute

Thus, the Magic Quadrant is an X-Y graph where various IT vendors in a market are plotted relative to one another. Investors use this tool to determine what kind of technologies to invest in, or which companies to partner with for possible ventures.   Business development uses this information to identify corporate prospects, etc, and of course you may use this information to target which company to work for.

Examples of this Useful Tool:

Magic Quadrant 2


Gartner Magic Quadrant for Cloud Infrastructure as a Service:

Magic Quadrant 5 - Cloud Infrastructure as a Service


Gartner Magic Quadrant for Business Intelligence and Analytics Platform:

Magic Quadrant 4 - Business Intelligence and Analytics Platforms


Gartner Magic Quadrant for Enterprise Backup Software and Integrated Appliances:Magic Quadrant 6 - Enterprise Backup Software and Integrated Appliances


Original Source: Gartner is a leading research company that publishes the Gartner Magic Quadrants.

Miss QT started her career with Credit Suisse Investment Bank issuing Structured Products to Private Banks, and later joined UBS Private Bank where she spent the bulk of her career. She works at a Technology Hedge Fund that specializes in global technology investments. A graduate of Duke University, she holds two degrees from the School of Engineering, and double majored in Computer Science and Mathematics. She trades the Global Equities Market and conducts proprietary reesearch on Algorithmic Investing (from Quandl with over 10 million datasets to Multicharts) to improve investment decisions. During her free time, Miss QT plays Golf.