What's the meaning of Data Analytics?

Information or data is stored in raw format. The increasing the size of information has resulted in an increase in the need for conducting inspection, data cleansing and transformation, as well data modeling in order to get insights from the data to make better decision-making processes.

It is an favored method of data analysis that focuses on data modeling and knowledge discovery that is designed towards the purpose of predictive. Business Intelligence functions provide a range of analytics capabilities that depend on data aggregation aswell and focusing on the domain expertise of companies. In statistical Applications, Business Analytics could be classified in Exploratory Data Analysis (EDA) and Confirmatory Data Analysis (CDA). Explore and learn more about  Statistics, Data Analytics with R and Tableau. This Data Analyst course was designed by a Top Industry.

EDA is focused on identifying new patterns in data and CDA concentrates on verifying or refuting existing theories. Predictive Analytics is a method of forecasting or classification using structural or statistical models. in text analytics statistical, linguistic and structural techniques are employed to separate and classify data from texts, which is a type that is unstructured. These are all types of data analysis.

The data revolution has improved the overall functionality in a variety of ways. There are a variety of new needs for applying sophisticated analytical methods for this Big Data spectrum. Experts can now take more accurate and efficient choices.

Data Analysis vs Data Reporting

Analyzing is an interactive procedure of an individual confronting a challenge, gathering the information needed to find an answer, and then analyzing that data, and then interpreting the results to recommend an actions.

A business intelligence environment often referred to as a report environment, can also include calling and report execution. The outputs are delivered in the form desired. Reporting is the method of organizing and presenting data in a simple to read format that communicates essential information. Reports assist businesses in monitoring different aspects of performance as well as enhancing satisfaction with customers. You can also think about the transformation of data from raw to useful data as a component of reporting. However it is also used for analysis that transforms data into useful information.

Differentialities Between Analysis and Data Analysis and Reporting

  • A report can show the user what has been done in the past in order to avoid inferences , and also help to gain a better understanding of the information while an analysis will provide solutions to any question or concern. Analyzing a situation will take any steps required to obtain the answers to these questions.
  • Reporting is merely the information asked for while analysis offers information or answers which is actually needed.
  • We conduct the reporting in a standard manner however we can also alter the way we conduct the report. Standard formats are established to report, while we conduct analyses according to need; we modify the analysis as needed.
  • Reporting can be done with a tool, and generally doesn't require any personnel to participate involved in the analysis. However, a person is responsible for conducting analysis and overseeing the entire analysis.
  • The reporting process is rigid while the analysis can be flexible. Reporting gives no or only a only a limited understanding about what's happening within the data, making it unchangeable while analysis highlights important data points distinctive, unique, or exceptional and explains the reasons why they are crucial for the business.


div singh

3 Blog posts