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Data analytics is the art of analyzing raw data to extract information & draw a conclusion from the clean data that is processed. Several procedures & methods of data analytics have been integrated with algorithms, machine learning, and artificial intelligence to create data fit for helping human insights and decision making.
Data has become the new gold and has become responsible for churning yet wheels of trade across the globe. With more and more firms switching to the digitization of records
Data visualization tools have made the interpretation and study of large amounts of datasets extremely convenient and it has ended the worries of being able to manipulate and handle data.
Microsoft SQL Server is a grade level computer RDBMS (Relational Database Management Systems) that is configured to run on SQL language and supports a wide variety of applications incorporate & IT environments which are mainly used for data management.
Google Docs is a complimentary internet based application in which documents and spreadsheets can be created, edited and stored on the Google drive which is a cloud server featured by Google.
Data Analysis and Data Presentation have a practical implementation in every possible field. It can range from academic studies, commercial, industrial and marketing activities to professional practices.
Although the term Data Analyst vs Data Scientist is used by many people and they use those terms interchangeably, data science and data analytics are unique fields, with the major difference being in the scope and advantages.
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Company data is an important part of a company’s growth in numbers in different fields.
If the business intelligence industry, then Tableau is the most powerful and fastest-growing data visualisation tool is used. Since every organisation has an ample amount of data which was supposed to be simplified for better understanding.
Management Information System (MIS) is a computer system consisting of hardware and software that serve as the backbone of these operations. The major function of MIS is to gather information from multiple systems, soon after gathering the information, then it analyses the information and reports the data which eventually assist in decision making.
Data management is an important tool as it is associated with the growth of organizations. Apart from basic elements, data management plays a vital role in almost every aspect. Unlike other sectors, the corporate world has an ample amount of data that needs to be allocated and managed for reference.
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