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Kevin Lee
  • New York, NY
  • United States
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Kevin Lee's Page

Profile Information

Short Bio:
I work with data.
Field of Expertise:
Business Analytics, Data Mining, Marketing Databases, Web Analytics, Vizualization, Statistical Consulting
Years of Experience in Analytical Role:
13
Professional Status:
Technical, Consultant
Interests:
Finding a New Position, Networking, New Venture, Other
What is your Favorite Data Mining or Analytical Website?
http://www.kdnuggets.com/websites/blogs.html
What Other Analytical Website do you Recommend?
http://www.cptech.com/
Your Job Title:
Data Tech
How did you find out about AnalyticBridge?
Google Search

Kevin Lee's Blog

Three SaaS Metrics Important for Measuring Success

Posted on April 23, 2016 at 10:00am 0 Comments

The SaaS, or software as a service, model has become the go to standards for enterprise and consumer software recently.  Subscriptions for SaaS have taken over as the number one-way people are measuring their success.  These products are continuously growing in demand, and will probably continue to do so for quite a while.  Typically, it is a bit cheaper for a company to utilize a SaaS startup for their business and is easier to get started than other types of companies, but SaaS does have…

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Custom Analytics Applications Are Good For Business

Posted on January 12, 2016 at 6:00am 0 Comments

Analysis has been with us since the dawn of human consciousness. When early man tried to understand why an animal drops when you hit it with a rock, he made the first analysis.

 

Analysis means nothing more than breaking down an action or event into its individual parts in order to understand it better.

 

Today's world is to a great extent run by computers. With it, analysis morphed into a complex and sophisticated discipline that looks at data and data streams to…

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The Way To A Successful Business With Data Integration And Management

Posted on November 2, 2015 at 8:31am 0 Comments

In order for a business to be successful in today’s highly competitive world, it is necessary that to go above and beyond to prove themselves loyal and worthy of a customer’s relationship. There are many ways this is done, but it starts with the collection and analysis of various pieces of data. The data can provide an array of information that can be used to enhance the overall customer experience. However, it isn’t only the customer that benefits with the use of special data analysis…

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