Data mining is a questionable activity when databases are filled with crap

I need to replace an old toilet and had to order one at Lowe’s. It seems they only stock the “tall” version of toilets now days, rather than old fashioned regular height toilets.

We go to a Point of Sale system where a staff member logs in to place the order. It looks like its running a VT100 emulator – like 1970s or 1980s technology. It’s apparently old Unix but looks like DOS, if you get the picture (yeah, its ancient technology).

They enter my phone number to look me up in their database – and it returns someone with my name in a city and state I have never been in.

We are told how wonderful information systems are to improving efficiencies and effectiveness in organizations, and in presenting new marketing opportunities.

But bad data and bad data mining occur everywhere and render such ideas moot.

Last week, we received a sample products package for Mom’s who’ve recently given birth, for a family member who has never lived in this house and who is not pregnant nor recently given birth, and which was addressed to her pre-married name. A bit of looking online finds others have received these sample products.  One recipient called the company and found they buy customer lists from many stores like Toys R Us, and what not, and run data mining software to discern facts about people. And then promptly mail them a sample products package as part of their marketing efforts. Garbage in –> Garbage out.

Meanwhile, my GMail account became so overwhelmed with email for other people that I had to trash it. Except I can’t – the apps I have on my phone are under my email address. I have, however, moved all of my email correspondence to a different email provider. However, my GMail account receives billing statements for other people with the same name who likely entered an incorrect email address for our similar names.

We know that GMail runs artificial intelligence analysis on our email to build up a marketing profile. It is not scanning for keywords – it is literally the equivalent of someone reading all of your email and taking notes (another reason to leave GMail). GMail is taking notes on other people’s correspondence but attributing those emails to me. Google is building a dossier on me, for marketing purposes, based upon analyzing emails that have nothing to do with me – in other words, Google’s dossier on me is full of crap.

Most of the email I receive on that account is to other people who entered the wrong email address. Consequently, I receive monthly billing statements from businesses I’ve never done business with, in cities and state’s I have never lived in. I receive reminders to take my BMW, Mercedes, Audi and Volkswagen vehicles in for maintenance (I own none of those). I also receive notices of bills not paid (apparently I am a dead beat BMW owner except none of these are mine). I receive all kinds of emails for products and services I have never used, from vendors I do not know. The email account is completely wrecked. Yet Google continues to analyze email in that account without recognizing its all garbage.

One time when we pulled a credit report on ourselves, we found data records saying we had lived in places we had never lived, and employment history showing us working at places we had never been to (we requested the records be corrected).

All of these grand databases that are being data mined to improve marketing are full of crap. No amount of artificial intelligence, data science or data mining can fix that these databases are full of crap information.

Majority of Americans may not be able to use VR headsets

Most (nearly all?) virtual reality viewers available online can not be used by those who need to wear eyeglasses, which is a majority of Americans.

The Problem

  • VR viewers lack space on the face side to accommodate the wearing of eye glasses.
  • VR viewers lack diopter adjustments.
  • VR viewers lack inter pupil distance (IPD) adjustments.

Who Does This Impact?

75% of Americans use some form of corrective eye lenses, split as 64% wear glasses and 11% wear contact lenses (Source: Corrective Lenses Statistics – Statistic Brain).

Nearly 100% of those over the age of 45 require reading glasses for close in viewing – or using most any virtual reality viewer. Almost all viewers lack sufficient space to wear reading glasses when the viewer is on the face. Attempting to wear reading glasses with a VR viewer is extremely uncomfortable as the viewer pushes the glasses into their face.

Unlike camera viewfinders that include a diopter adjustment, VR viewers are almost all fixed focal lengths or have limited adjustments (possibly only for myopia but not presbyopia).

Most VR viewers (but not all) have a fixed inter pupil distance (the distance between the eyes is fixed even though people have different distances – think of how binoculars work to address that!).

Consequently, VR viewing is – for a majority of Americans – either impossible or painful.

A few of the higher end viewers have – during the past year – begun to address this problem either by enabling the wearing of glasses while using the viewer, or by adding a focus adjustment.

The focus adjustment, however, is not sufficient. Of the 75% who need vision correction, some have significantly different corrections between the left and right eye. All VR focus adjustments make the same adjustment for both eyes – meaning such individuals can only get a good focus in one eye.

Again, think of binoculars. Binoculars solved this problem decades ago by having a master focus ring that adjust both eye views simultaneously, plus a single diopter adjustment for one eye. The inter pupil distance is adjusted in binoculars by positioning each lens further apart. Through these adjustments, binoculars long ago provided solutions to the majority that need vision correction.

A reasonable guess is that the VR industry views its customers as young gamers and hired young people with excellent vision to design their products, but who are oblivious to real world customers.

If the VR industry does not address these design defects urgently, the future of VR is itself in doubt.

When a majority of potential customers are likely to have unsatisfactory experiences, they will not purchase VR products and content. They will not post positive comments in reviews and online forums.

Media pundits said 3D failed because people had to wear “3D goggles” (their term for 3D glasses). In reality, the problem was a lack of compelling 3D content for consumers to watch at home.

VR, which really does use “3D Goggles” (and helmets too), is headed down the same path to oblivion if it does not deliver VR viewers that can be worn and used by a majority of the population. This is a significant VR industry marketing failure.

How to Use Contests and Giveaways to Get User-Generated Content

Good ideas! How to Use Contests and Giveaways to Get User-Generated Content.

User generated content contests – and voting polls – encourage users to pass a link on Facebook and Twitter, helping to market the content – for free.

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