A Quote by Geoffrey Moore
Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.
Related Quotes
Without big data, you are blind and deaf and in the middle of a freeway.
We have a long way to go to understand that web analytics is a thinking man's tool, not a solution unto itself. On the bright side, 73% of those surveyed might still figure out that web analytics can help them drive actionable insights one day.
Quantcast combines powerful web analytics with easy-to-read charts and data.
There is more interest in what is occurring in technology companies that impact news. Such companies don't have the same sense of transparency about what they do. They have a tradition of secrecy about products, mores and decision-making that goes along with Silicon Valley and intellectual property and technology. You cannot step onto the grounds of Google without signing a Non-Disclosure Agreement. That industrial secrecy mentality exists along with a theoretical sensibility about transparency on the Web, which is different than transparency inside companies that profit from the Web.
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
My mission is to bring the power of big data insights and analytics to every company.
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.
Go out and collect data and, instead of having the answer, just look at the data and see if the data tells you anything. When we're allowed to do this with companies, it's almost magical.
Even smaller companies are putting resources behind their analytics teams in the same way they put resources behind engineering and product teams. There are some great tools out there that allow even tiny businesses to use data effectively.
I was interested in data mining, which means analyzing large amounts of data, discovering patterns and trends. At the same time, Larry started downloading the Web, which turns out to be the most interesting data you can possibly mine.
Small businesses no longer need to feel like a deer in the headlights when considering constructing or updating their Web sites. With ClickThings what you see is what you get, unlike some other competitive Web-based Website building tools.
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.
You could take Vicodin, step out of the house, onto a freeway, have a truck hit you, and you'd say "My Bad!".
People of relatively low intelligence can be morally wonderful if they desire the right and the good (not necessarily under the description "right" or "good"). Their low intelligence sometimes results in their accidentally doing something wrong, but doing something wrong out of low intelligence alone is like stepping on a person's foot because you are (literally) blind or missing a cry for help because you are (literally) deaf. We do not judge the blind or deaf person as morally bad.
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