article thumbnail

3 Data Mining Tips for Companies Trying to Understand their Customers

Smart Data Collective

Modern businesses that neglect to invest in big data are at a tremendous disadvantage in an evolving global economy. Smart companies realize that data mining serves many important purposes that cannot be overlooked. One of the most important benefits of data mining is gaining knowledge about customers.

article thumbnail

Shocking Ways Big Data Changed the Nature of Business Lending

Smart Data Collective

Lenders are tightening their actuarial criteria and employing data driven decision making capabilities. If a company is looking to borrow money, they need to understand how big data has changed the process. They need to adapt their borrowing strategy to the new big data algorithms to improve their changes of securing a loan.

Big Data 100
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. More efficient, more scalable systems are going to be able to handle more data.

article thumbnail

Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

article thumbnail

Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Surely you are not surprised that digital finally beats TV.

Metrics 141