Last Updated on April 8, 2021 by Shaun Snapp
- These are the references that were used for our Gartner articles.
Learn why so few entities in the IT space include references in their work.
This is the reference list for the Gartner articles, as well as interesting quotes from these references at Brightwork Research & Analysis.
You can select the article title to be taken to the article.
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One of the benefits of writing this article was finding this video, which is more critique of Chevrolet’s deceptive commercials.
Another quote on the JD Power survey.
This is true its a scam and it means nothing. I bought a new GMC truck in 2015 and two weeks after I had it I got this paper from JD power and it had a survey in there asking me all these questions that you shouldn’t answer until you have owned the vehicle for a few years. How can you tell someone that this vehicle is reliable and the quality is 100% when that vehicle is brand new? Well, I never filled it out and I’ve had nothing but problems with my $50,000 truck. GM has no customer service when it comes to their junk and that all it is, is junk. I had to get a lawyer and sue them. Now I’m trading the truck in just to get rid of it. Total lemon!! I’ll never buy another GM or American vehicle again! Total waste of money! – I Am Incorrect
This quote asked the question of whether JD Power rigs its surveys. (this quote is for a survey outside of automobiles, JD Power has grown to perform surveys of many products and services)
I was once called for my opinions on a company with which I was doing investments. It became clear that the person from JD Powers was not liking my answers regarding my dissatisfaction. She tried to end the conversation quickly at that point. From then on, I never trusted JD Powers. – I Am Incorrect
Taking survey questions up until a certain point?
I am a Jet Blue member. At times I am asked to answer questions for points to my account, for various companies such as J D Powers. Specifically, and only J D Powers, Fiver – ten minutes into the survey after I have answered many many questions, across the screen flashes something to the effect, “Sorry you are not qualified to continue with this survey”.
Really when initially I am asked to answer specific questions to qualify me to take a specific survey. I believe this is how J D Powers operates so that they do not have to pay for the survey, yet use the answers. THE PERSONIFICATION OF A PROFESSIONAL SCAMMER COMPANY. – I Am Incorrect
One way to rig a survey is to disqualify the respondents if they answer the questions in a way that the survey would not want their input.
This is what a very experienced mechanic thinks of JD Power. He has a popular YouTube channel and provides very accurate advice about cars, and knows how the auto-promotion system works.
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As Equinix presents itself.
This is from 2016, Equinix no longer is part of OCP.
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https://www.gartner.com/en/research/methodologies/magic-quadrants-research, Gartner Inc., “Gartner Magic Quadrant,” 2019.
https://towardsdatascience.com/spectral-clustering-aba2640c0d5b, Medium: Towards Data Science, “Spectral Clustering,” William Fleshman, Feb 20, 2019
http://albertocairo.com/, Alberto Cairo, “How Charts Lie,” 2019.
https://www.theguardian.com/film/2017/feb/27/pricewaterhousecoopers-issues-sincere-apology-for-oscars-blunder, The Guardian, “PwC issues an apology after Oscars best picture mistake,” 2017.
https://www.adma.com.au/compliance/what-you-need-to-know-about-running-a-competition, ADMA, “What you need to know about running a competition,” 2017.
https://www.courtlistener.com/opinion/2540667/zl-technologies-inc-v-gartner-inc/, Court Listener, “ZL Technologies, Inc. v Gartner, Inc.,” District Court, N.D. California, 2010.
https://www.amazon.com/False-Positive-Omission-Political-Correctness/dp/1641770465/, Theodore Dalrymple, ” False Positive: A Year of Error, Omission, and Political Correctness in the New England Journal of Medicine,” 2019.
https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1, Towards Data Science, Dr. Michael J Garbade, “Understanding K-Means Clustering in Machine Learning,” 2018.
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Forrester is similar. This video seems like it is completely divorced from reality.
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 The initial idea behind ERP systems was that it would combine many different applications into a single system, thus reducing application integration issues. However, after the major ERP vendors sold the ERP product into companies, they began to develop specialized products for things like supply chain planning, business intelligence, customer relationship management, etc. This was done for several reasons. First, there was simply no way that an ERP system with its elementary approach to all functionality (with the possible exception of finance and accounting) could meet all the needs of companies. Secondly, once ERP companies had sold their ERP applications, they needed to develop more applications to grow their sales. Once they had the ERP system implemented, they had the network effect on their side as the ERP system is the “mother ship application”—the application or set of applications to which all other applications must integrate. Thus they were in a competitive position to sell more software into these accounts. These applications all have their platforms and have adapters to one another. Still, each is a separate application, with a different database and sitting on different hardware, meaning that companies are essentially back where they started before the move to ERP systems. Except, they now rely more on external application development through commercial software rather than internal application development. All of these factors undercut one of the primary arguments that were often used to sell ERP systems: that they would reduce costs. More on this topic can be read at this link.
 SAP is a very powerful influence in IT and has many people that make a very good living from working in SAP. Unless my research results are heavily skewed in favor of SAP, I can expect negative feedback on my articles.
 Anyone who reads Consumer Reports will know that luxury cars are in their category.
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 I cover this in detail in the book Enterprise Software Selection.
 All that is known is what the large companies are reputed to spend, in addition to statements from different heads of marketing at vendors as to what they spent previously. I found from one source that IBM pays $5 million to Gartner, but I have no way of corroborating the source. It is generally estimated that the major vendors are all in the multi-million dollar range.
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One reason that this is the case is that Gartner is not generally recognized as a social networking company. This is a textbook case of accepting what a company says it is rather than analyzing what it is.
While I believe a positive relationship must exist between Gartner’s ratings and investment returns, I was unable to find any research to this effect. However, I am confident that an investment bank (or multiple investment banks) has performed such a study. Although there would be no advantage to publishing such a study as it would make more sense to use the study results to make investment decisions.
Gartner follows an “old school” approach to broadcasting. Since the development of blogging and commenting software, the predominant method of articles has been to allow commenting, which adds significant value in many cases because readers can have perspectives and information that adds value to other readers. However, Gartner’s publications are downloadable articles, with no ability to add or read subscriber comments. This is referred to as social media. Curiously, a company that specializes in technology research should employ such an old design for distributing information. Much more of Gartner’s broadcasting could be moved towards a more modern information-sharing model; however, Gartner has shown no interest in adjusting their broadcasting/publishing approach.
Software selection is the most important part of any software implementation because it is the best opportunity to match the software with business requirements. Doing so goes a long way towards determining the probability of success of the software’s future implementation. Once the software selection is made, several avenues will be cut off to the company in that the opportunity to change direction or choose different software becomes difficult, if not impossible.
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“McNamara holds the same point of view that I expressed last month: ZL doesnt have a leg to stand on because Gartners research reports are covered by First Amendment protections. Yes, we all know that Gartner has virtual monopoly power these days in the IT research area, but the fact remains that what they publish are subjective views on market segments and the vendors that serve them.”
This statement does not understand the nature of the ZL Technologies complaint. The complaint is that Gartner poses as a research entity when it does not publish the math of the criteria that it uses. ZL Technologies complained that the ombudsman, often touted by Gartner as providing objectivity, does nothing of the sort. The complaint against Gartner was that it is posing as objective when it is not. This view presented does not seem to know that the First Amendment does or should not protect entities that publish information that they know to be false. Wall Street firms used the same argument to protect themselves in situations where it was proven that they lied to customers they sold financial products to customers that they knew would fall apart.
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