Big data is us for tasks within advanc analytics, including artificial intelligence . There are four main methods of Big Data analysis [4] : 1. Descriptive analytics is the most common. It answers the question “What happen?”, analyzes real-time data and historical data. And patterns of success or failure in a particular area in order to use this data for the most effective models. For descriptive analytics, basic mathematical functions are us. A typical example is sociological research or web statistics data that a company receives through Google Analytics. Anton Mironenkov, Managing Director of X5 Technologies.
The main goal is to find out the causes
There are two broad classes of models for making pricing Greece Phone Number List decisions. The first is bas on market prices for a particular product. Data on price tags in other stores is collect, analyz, and bas on them, according to certain rules, own prices are set. with building a demand curve, which reflects the volume of sales depending on the price. This is a more analytical story. Online, this mechanism is us very widely, and we are transferring this technology from online to offline.” 2. Prictive or prictive analytics (prictive analytics) – helps to prict the most likely development of events bas on the available data.
It is possible to identify problem
To do this use ready-made templates bas on any objects or BT Lists phenomena with a similar set of characteristics. With the help of prictive (or prictive, prictive) analytics, you can, for example, calculate a collapse or price change in the stock market . Or assess the potential borrower’s ability to repay a loan. 3. Prescriptive analytics is the next level up from prictive. With the help of Big Data and modern technologies, points in a business or any other activity and calculate under what scenario they can be avoid in the future. Aurora Health Care saves $6 million annually through prescriptive analytics by rucing readmissions by 10% [5] . 4. Diagnostic analytics (diagnostic analytics.
