What is data analytics?
** Data Analytics ** The process of exposing, conclusion and supporting decision making is the process of checking, cleaning, conversion and interpreting data. ### Major components of data analytics:
1. ** data repository ** Collect raw data from various sources such as databases, sensors, survey, website, or software systems.
2. ** data cleansing ** To remove or correct errors, duplicate, or discrepancies to ensure data quality.
3. ** Data change ** Converting data into an usable format - it may include collecting, normalizing, or encoding data.
4. ** Analysis ** Using statistical methods, algorithms or machine learning to identify patterns, trends or relationships in data.
5. ** Explanation and Reporting ** Changing the insight into the visualization (chart, graph, dashboard) or report to inform the decisions. ,
### Types of data analytics:
1. ** Descriptive Analysis ** * What happened?* - The previous data (eg, sales summarizes the previous quarter).
2. ** Diagnostic Analytics ** * Why this happened?* - He examines the causes of trends or discrepancies.
3. ** Predictive Analytics ** * What can happen?* - Uses historical data to forecast future results.
4. ** Prescriptive Analytics ** * What should be done?* - Suggestions on actions based on predictions and results. ,
### Examples of real world: ** Business: ** Understanding customer behavior to improve marketing. ** Healthcare: ** To predict the outbreak of the disease or the results of treatment. ** Finance: ** Finding fraud transactions. ** Games: ** Player Performance and Analysis of Sports Strategies.