tcu vs tech score

For all the talk about the future of big data, it seems like the future of big data is a lot less likely to be a technological one. Big data is just too easy to manipulate to be worth the effort.

I think one of the biggest dangers to the promise of big data is that big data is becoming more similar to data mining in the sense that it’s being used for the same purpose that data mining is used for, which is to improve the quality of your data. As a result, big data has made the very definition of data wrong. Big data is data about people, but what is being used to optimize that data is the data of businesses.

Business data is data about businesses, but what is being used to optimize that data is the data of individuals. That is, big data is data about individuals, but what is being used to optimize that data is the data of businesses. I say this because if you want to optimize your data for businesses you need to go back to using a business data model.

I love this quote, which is from Michael Porter from Competitive Advantage. It’s from a book that we are reading in our research group on the topic of big data. He writes, “Businesses that win data tend to win more.” The more data they have, the more they can use to make decisions. The more they can use the more efficiently they can achieve their goals. I love this quote because it’s true.

If you want to optimize your business information for the competition, one of the best ways to do this is to get your data more organized. Instead of having your data spread out across your various departments, it should be organized into the most relevant pieces possible. This means that you should also organize your information by business vertical and then by product, then by customer, and then by market. This leads to an increased ability to analyze and interpret your data better.

In an earlier post, I talked about the “tcu score” as being the number of customers that your company has. The tcu score, as I discussed in the article, is a measure of how much your company does for its customers. A tcu score of 1 is the lowest the scores are, and a tcu score of 10 is the highest a company can score.

Tech companies are known for having high tcu scores, and it is difficult to be a good tech company if you don’t have the customers. Your customers are the reason you are a company in the first place, so if they don’t buy your product, you won’t be able to get the customers. In other words, if you have a tcu score of 1, you will be losing customers.

You should be able to work with your customers faster than you might use a tcu score. People who work for companies that do not have customers are the ones who are the ones with the lowest tcu scores. You should have more time to make sure your customer has the first chance to be pleased with your experience.

I agree with this sentiment. Your tcu score should be as high as yours is comfortable with (although that’s not guaranteed). Tech companies are the ones who are most likely to have the most success when doing business with you. When you are working with a company, you want to work with them as long and hard as they will ask you to do.

A few people in the industry are actually good at it. My advice is to work with them. Most of them are good at what they do. I would recommend working with them.


Wow! I can't believe we finally got to meet in person. You probably remember me from class or an event, and that's why this profile is so interesting - it traces my journey from student-athlete at the University of California Davis into a successful entrepreneur with multiple ventures under her belt by age 25

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