A Gateway To Knowledge

Data Analytics Team includes Data Scientist, Data Analysts and Data Engineers who are involved in one or more Steps of the whole Data Analytics process. The Data Analytics Process is divided into following Steps:- Collection of Data Integration of Data Preparation of Data Analytical Model Development Analytical Model Testing Analytical Model Revision Data Reporting / Visualization Data Collection Data Scientists identify the information they need for a particular analytics application and then work on their own or with data engineers and IT staffers to assemble it for use. Data Integration Data from different source systems may need to be combined via data integration routines, transformed into a common format and loaded into an analytics system such as Hadoop cluster, NoSQL database or data warehouse. Data Preparation Once the data that is needed is in place, the next step is to find and fix data quality problems that could affect the accuracy of ana...

Data Analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to make more informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses. Data Analytics refers to an assortment of applications from basic business intelligence (BI), reporting and online analytical processing (OLAP) to various forms of advanced analytics. In that sense, it is similar to business analytics, another umbrella term for approaches to analyzing data - with the difference that the latter is oriented to business uses, while data analytics has a broader focus. Advantages of Data Analytics The advantages of Data Analytics are in boosting business performance by:- Increasing Business Revenues Improve Operational Efficiency Optimize Marketing...