A Quote by Katrina Lake
'Personalization' is a popular word in retail, and people often misuse it to describe simple marketing tactics, like segmenting emails or using big data to identify the likely gender of a visitor to their websites.
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I know people want me to sort of defend myself, to sit here and be like, 'I'm a boy, but I wear makeup sometimes.' But, you know, to me, it doesn't really matter. I don't really have that sort of strong gender identity-I identify as what I am. The fact that people are using it for creative or marketing purposes, it's just kind of like having a skill and using it to earn money.
Big Data is neither color-blind nor gender-blind. We can see how it is used in marketing to segment people.
We get more data about people than any other data company gets about people, about anything - and it's not even close. We're looking at what you know, what you don't know, how you learn best. The big difference between us and other big data companies is that we're not ever marketing your data to a third party for any reason.
I've been on, like, the forefront of social media. I run all my own pages, and this is back to MySpace and answering my own emails in, like, 2006. Even before that, I always had websites with emails that dropped directly to me.
Let's look at lending, where they're using big data for the credit side. And it's just credit data enhanced, by the way, which we do, too. It's nothing mystical. But they're very good at reducing the pain points. They can underwrite it quicker using - I'm just going to call it big data, for lack of a better term: "Why does it take two weeks? Why can't you do it in 15 minutes?"
Companies have long gathered data to break down their customer base into specific segments. Now political parties have become adept at micro-targeting, too, using data on shopping habits, leisure activities, voting histories, charity donations, and so on, in order to pinpoint likely supporters and the type of appeal most likely to win them over.
While many big-data providers do their best to de-identify individuals from human-subject data sets, the risk of re-identification is very real.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
Love is just a word that we've chosen to use to describe something that we can't fully explain. I mean, it's like, as a culture, we've just all agreed on using the term, but I think people get so caught up in the word that they don't allow themselves the privilege to live out what it actually might be.
The word God has become empty of meaning through thousands of years of misuse... By misuse, I mean that people who have never glimpsed the realm of the sacred, the infinite vastness behind that word, use it with great conviction, as if they knew what they are talking about. Or they argue against it, as if they knew what it is they are denying. This misuse gives rise to absurd beliefs, assertions, and egoic delusions, such as "My or our God is the only true God, and your God is false," or Nietzsche's famous statmeent "God is dead.
I have been villainized because of my identity - I've received nasty blog comments and emails just based on my willingness to identify with feminism by people who clearly don't understand what I value and why I identify as a feminist. Ultimately, I'm less concerned with whether or not people identify as feminist and am more concerned with whether or not people understand what feminism is. If they don't want to identify as a feminist that's fine. I respect people's decision to identify any way they want and expect that same respect in return, although I don't always get it.
I want my writing to reach people. I don't write for a market. I write from my heart, something that appeals to me. The marketing, segmenting etc., can be done by your publisher, not you.
I am accused of using hard language. I admit the charge. I have not been able to find a soft word to describe villainy or to identify the perpetrator of it. The man who makes a chattel of his brother - what is he? The man who keeps back the hire of his laborers by fraud - what is he?
MapReduce has become the assembly language for big data processing, and SnapReduce employs sophisticated techniques to compile SnapLogic data integration pipelines into this new big data target language. Applying everything we know about the two worlds of integration and Hadoop, we built our technology to directly fit MapReduce, making the process of connectivity and large scale data integration seamless and simple.
One of the most frustrating words in the human language, as far as I could tell, was love. So much meaning attached to this one little word. People bandied it about freely, using it to describe their attachments to possessions, pets, vacation destinations, and favorite foods. In the same breath they then applied this word to the person they considered most important in their lives. Wasn’t that insulting? Shouldn’t there be some other term to describe deeper emotion?
Guerrilla marketing requires you to comprehend every facet of marketing, experiment with many of them, winnow out the losers, double up on the winners, and then use the marketing tactics that prove themselves to you in the battleground of real life.
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