Data Analytics
Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, and reporting tools, data mining program.
Data Analytics
Data analytics is the process of examining data sets in order to find trends and draw conclusions about the information they contain. Increasingly, data analytics is done with the aid of specialized systems and software.
Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, and reporting tools, data mining programs, or open-source languages for the greatest data manipulation.
Data Analytics Predominantly Refers to An Assortment of Applications
Reporting And Online Analytical Processing
Descriptive analytics
This describes what has happened over a given period of time. Have the number of views gone up? Are sales stronger this month than last?
Diagnostic analytics
This focuses more on why something happened. This involves more diverse data inputs and a bit of hypothesizing. Did the weather affect beer sales? Did that latest marketing campaign impact sales?
Predictive analytics
This moves to what is likely going to happen in the near term. What happened to sales the last time we had a hot summer? How many weather models predict a hot summer this year?
Big Data Analytics
Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Data Analytic Process
The data analytics process has some components that can help a variety of initiatives. By combining these components, a successful data analytics initiative will provide a clear picture of where you are, where you have been and where you should go.
