Master Sheet

Created by Webspasm

App Analytics, Dashboards, Internet, Social Analytics, Web Analytics, Websites

General Information
Analytics involves both discovering and communicating the significance of patterns found within data. Analytics is greatly important in terms of recorded information that is plentiful and in need of synthesizing. Analytics involves the statistical, operational researching, and computer programming, in order to measure the performance of the data supplied. Data visualization is the favored method used within analytics to correspond insight.

Analytics employs statistical and mathematical practices to quantify the data, as well as the usage of explanatory techniques and prediction models that help to obtain the significance from out of the data. Analytics is more concerned with implementing the entire methodology of the practice.

Analytic Uses
Analytics is often utilized by businesses to quantify their data in order to depict, predict, and improve the performance of a business. Analytics use big data, such as algorithms and computer software programs to harness the most up to date methods of data analysis in terms of computer science, mathematics, and statistics.

Areas of Analytics
The areas of analytics include:
  • Predictive analytics
  • Retail analytics
  • Enterprise decision management
  • Store assortment/stock-keeping 
  • Marketing/Promotions models
  • Predictive science
  • Fraud analytics
  • Credit risks analysis 
Types of Analytics
The types of analytics include:
  • Marketing- Analytics are used by marketing organizations to predict the success of campaigns to help determine future decisions, targeting, and investments. 
  • Analysis of Portfolios- The process in which a bank has multiple accounts that are at differing values and risks, where they must balance between the return of the loan along with the jeopardy of default from the loan. Analytics helps to determine how to assess the portfolio 
  • Analytics of Risk- The banking industry has developed models of prediction to help determine potential risk for their clients, known as a credit score. They are used to determine a customer’s worthiness when submitting an application for credit.
Revised March 11th, 2016 Submit a Website

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