Free Business Intelligence Practice Tests - Data Analytics Test
Data-Analytics is the technique of exploring raw data to conclude some information which is useful for an organization. Data-analytics are widely used in many industries to make better Business Decision. Not just in the field of business, but also in the field science, archaeology, research etc Data Analytics is used to improve, verify or disprove existing theories and to invent new theories and models. The Data Analytics are way different from Data Mining, as data miners go through a wide data warehouse to discover hidden relationship and pattern using software tools whereas data analytics discover conclusion from the data what is already known to researcher.
The concept of data analysis is to extract the data to drawn some conclusion. Through the data mining process one can find out undiscovered data or relationship but might not be able to conclude something. To conclude some useful decision for an organization from data you need a Data-Analytics. The data analytics are of two types. One is numeric (usually deals with science) and another one is non-numeric (its deal with the social activities). The numeric data-analytics are divided into two parts one is “Confirmatory Data Analytics” and another one is “Exploratory Data Analytics”. The non-numeric data-analytics are “Qualitative Data Analytics”. Let’s discuss about these three types of data analytics in details.
