Data+Analysis_Data+Analytics

Data analysis is the process of examining the raw data with the purpose of drowing conclusions about this information.
Data analytics is the science that studies the data analysis process.

Description
====Data analysis is as the process of examining the raw data, is used in many fields like industries, companies and organizations with the purpose of making better business decisions. Data analytics should be clearly distinguished from data miners with the purpose, scope and focus, moreover they focuse on interference, the process of deriving a conclusion based solely on what is already known by the researcher. (Rouse, M.) ==== = = =Video support materials= = =

Big Data Analytics is more than technology. It's a new way of thinking. Here's proof as to why we need Big Data Analytics: In 2012, the world's information totaled over 2 zetabyes. That's 2 trillion gigabytes. By 2020, that number will be 35 trillion. 80% of this new data is unstructured. ||
 * Video with useful information || Description ||
 * media type="youtube" key="1RYKgj-QK4I" width="603" height="343" || Fortunately,banks asking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience. ||
 * media type="youtube" key="LrNlZ7-SMPk" width="606" height="332" || Big Data Analytics is not just hype.

=LInks to the related articles:= "It doesn't matter if you are part of a loyalty scheme, pay by card or even cash, 'Big Brother' supermarkets know your every move" [] 3. //** Data Analytics in Supermarkets **// //** [] **//
 * 1) **Supermarket Tesco pioneers Big Data "**Turning Customer Loyalty into Royalties" //**[]**//
 * 2) ** //How supermarkets get your data – and what they do with it// **

Specific examples
Example 1. A clinical dietician wants to compare two different diets, A and B, for diabetic patients. She hypothesizes that diet A (Group 1) will be better than diet B (Group 2), in terms of lower blood glucose. She plans to get a random sample of diabetic patients and randomly assign them to one of the two diets. At the end of the experiment, which lasts 6 weeks, a fasting blood glucose test will be conducted on each patient. She also expects that the average difference in blood glucose measure between the two group will be about 10 mg/dl. Furthermore, she also assumes the standard deviation of blood glucose distribution for diet A to be 15 and the standard deviation for diet B to be 17. The dietician wants to know the number of subjects needed in each group assuming equal sized groups. Example 2. An audiologist wanted to study the effect of gender on the response time to a certain sound frequency. He suspected that men were better at detecting this type of sound then were women. He took a random sample of 20 male and 20 female subjects for this experiment. Each subject was be given a button to press when he/she heard the sound. The audiologist then measured the response time - the time between the sound was emitted and the time the button was pressed. Now, he wants to know what the statistical power is based on his total of 40 subjects to detect the gender difference.

Contributor: Ermek
====Big data analytics, even though a process which requires hard work, can be very benefitial to the business. If the big company can support creating a special group of data scientists, who can properly analyze big data required for the company, the company's market share is most likely to rise. One more advantage of said processing is that it allows for better work in the behavioral analytics field, because of the fact that processed information can be used to predict customers' purchasing habits.====

Resources

 * Rouse, M. (n.d.). Data analytics (DA). Retrieved December 8, 2014, from http://searchdatamanagement.techtarget.com/definition/data-analytics
 * Bruin, J. (2006, January 1). Welcome to the Institute for Digital Research and Education. Retrieved December 11, 2014, from http://www.ats.ucla.edu/stat/gpower/indepsamps.htm