References for Brightwork Gartner Articles

Executive Summary

• 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. 

Introduction

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.

Reference #1: Article Titled:

How Gartner is a Fake Research Entity Like JD Power and Associates

https://www.vox.com/the-goods/2018/11/27/18105479/jd-power-car-commercials

*https://iamcorrect.wordpress.com/2016/12/14/jd-powers-is-a-scam/

*https://www.extremetech.com/extreme/272595-which-jd-power-study-should-you-trust-the-most

*https://www.reddit.com/r/cars/comments/6j2v6h/are_jd_power_awards_mostly_bullshit/

https://www.ipsos.com/en

https://www.consumerreports.org/consumerist/can-you-trust-those-awards-you-see-in-auto-ads/

*https://www.truthinadvertising.org/chevrolets-j-d-power-dependability-awards/

https://www.sfgate.com/business/article/J-D-Power-cozy-with-winners-2620609.php

One of the benefits of writing this article was finding this video, which is more critique of Chevrolet’s deceptive commercials.

*https://www.youtube.com/watch?v=15iLHlJPp_0

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.

*https://youtu.be/zKN5Wl4uTyY

Reference #2: Article Titled:

How Gartner and IDC Help Vendors Co-Opt Things They Are Unrelated To

https://en.wikipedia.org/wiki/Equinix

https://equinix.app.box.com/embed/s/mkymarl5w700xm5rncoha3czg4lyv1

As Equinix presents itself.

*https://www.youtube.com/watch?v=HUELJ6AQbTc&feature=youtu.be

This is from 2016, Equinix no longer is part of OCP.

https://www.datacenterknowledge.com/equinix/equinix-gets-board-seat-open-source-edge-computing-foundation-lf-edge

https://www.datacenterknowledge.com/equinix/equinix-s-335m-packet-acquisition-closed-here-s-what-s-next

*https://www.opennetworking.org/cord/

https://data-economy.com/equinix-appoints-former-uber-head-of-global-network-justin-dustzadeh-as-new-cto/

Reference #3: Article Titled:

Why Open Source Does Not Fight Back Against Gartner and Other IT Analysts

*https://blogs.gartner.com/andrea_dimaio/2009/04/08/open-source-in-government-is-irrelevant/

https://opensource.com/tags/government

https://www.gnu.org/licenses/gpl-3.0.en.html

Reference #4: Article Titled:

A Machine Learning Study of Gartner’s Magic Quadrant Bias

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.

https://www.informationweek.com/credibility-of-analysts/d/d-id/1040282?page_number=2

https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1

Reference #5: Article Titled:

How to View Gartner’s Financial Bias in Favor of Large Vendors

https://www.informationweek.com/credibility-of-analysts/d/d-id/1040282?page_number=2

https://en.wikipedia.org/wiki/Argumentum_ad_populum

Reference #6: Article Titled:

Why is Brightwork Better than Gartner or Forrester?

*https://www.youtube.com/watch?v=pNYbVvm0Us0

Forrester is similar. This video seems like it is completely divorced from reality. 

Reference #7: Article Titled:

How to Understand Gartner and the Patent Software Vendor System

*https://www.amazon.com/Software-Wasteland-Application-Centric-Hobbling-Enterprises/dp/1634623169

Reference #8: Article Titled:

How to Understand If According to Gartner S/4HANA is for SMB?

https://www.gartner.com/doc/reprints?id=1-43I9UCB&ct=170619&st=sb

Reference #9: Article Titled:

Is Gartner Correct That They Are Unbiased?

https://www.informationweek.com/credibility-of-analysts/d/d-id/1040282?page_number=2

https://en.wikipedia.org/wiki/Argumentum_ad_populum

[1] 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.

[2] 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.

[3] Anyone who reads Consumer Reports will know that luxury cars are in their category.

Reference #10: Article Titled:

How to Understand Whether Gartner is Worth the Investment

[1] I cover this in detail in the book Enterprise Software Selection.

[2] 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.

Reference #11: Article Titled:

The Problem with How Gartner Makes its Money

*https://www.amazon.com/SAP-Nation-2-0-empire-disarray-ebook/dp/B013F5BKJQ

Reference #12: Article Titled:

How to Best Understand Gartner’s Business Model

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.

Reference #13: Article Titled:

How to Understand Gartner’s Control Over Vendors

*https://www.scribd.com/document/236036326/NetScout-Systems-vs-Gartner-Inc

Reference #14: Article Titled:

How to Understand Gartner’s Similarity to the Devil Wears Prada

https://www.computerworld.com/article/2467990/social-business/gartner-sued-by-zl-re–magic-quadrant–huge-damages-claim.html

“McNamara holds the same point of view that I expressed last month: ZL doesn’t have a leg to stand on because Gartner’s 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.

Reference #15: Article Titled:

How Gartner Distributes Press Releases On HANA

https://www.gartner.com/technology/reprints.do?id=1-17OKEN0&ct=111014&st=sb

https://www.informationweek.com/news/225000150

https://www.pcworld.com/article/212083/sap_launches_hana_for_inmemory_analytics.html

Reference #16: Article Titled:

How IBM and Gartner Primed The 2017 Blockchain Hype Bubble

https://www.gartner.com/en/newsroom/press-releases/2019-07-03-gartner-predicts-90–of-current-enterprise-blockchain

https://www.gartner.com/smarterwithgartner/the-reality-of-blockchain/

https://www.gartner.com/en/information-technology/insights/blockchain

https://docs.openchain.org/en/latest/general/configuration.html

https://jis-eurasipjournals.springeropen.com/articles/10.1186/s13635-019-0085-3

https://apnews.com/press-release/pr-newswire/technology-greater-china-computer-and-data-security-blockchain-asia-57bc6e475b6a334230e450e349330a06

https://www.wired.co.uk/article/blockchain-ibm-hyperledger-business

Reference #17: Article Titled:

Why Not Publishing Data Sets is a Problem for Gartner and Real Research

*https://www.amazon.com/New-Great-Depression-Winners-Post-Pandemic/dp/0593330277

*https://www.thebalance.com/national-debt-by-year-compared-to-gdp-and-major-events-3306287

*https://en.wikipedia.org/wiki/List_of_countries_by_public_debt

*https://theconversation.com/the-reinhart-rogoff-error-or-how-not-to-excel-at-economics-13646

*https://cepr.net/the-debt-whiners-fools-or-liars/

*https://www.nber.org/system/files/working_papers/w15639/w15639.pdf

*http://www.peri.umass.edu/fileadmin/pdf/working_papers/working_papers_301-350/WP322.pdf

*http://experimentalmath.info/blog/2013/01/set-the-default-to-open-reproducible-science-in-the-computer-age/

*https://cepr.net/debt-and-deficits-yet-again/

Reference #18: Article Titled:

How to Understand Gartner’s Disastrous Advice on Mainframes

*https://www.datacenterknowledge.com/cloud/aws-out-kill-mainframes

Reference #18: Article Titled:

Can Anyone Make Sense of the DMSA and ODMS Magic Quadrants?

*https://www.odbms.org/free-downloads-and-links/in-memory-databases/

https://en.wikipedia.org/wiki/Snowflake_Computing