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The business analyst role is an overlap of these two professions, and therefore the business analyst plays an essential role in communication and understanding between these two groups. [ 14 ] [ 15 ] Requirements elicitation - this refers to "analyzing and gathering the needs of both computer-based systems as well as the business". [ 14 ]
For example, a data analyst might analyze sales data to identify trends in customer behavior and make recommendations for marketing strategies. [37] Data science, on the other hand, is a more complex and iterative process that involves working with larger, more complex datasets that often require advanced computational
Analysts may apply a variety of techniques, referred to as exploratory data analysis, to begin understanding the messages contained within the obtained data. [30] The process of data exploration may result in additional data cleaning or additional requests for data; thus, the initialization of the iterative phases mentioned in the lead ...
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
The difficulty in ensuring data quality is integrating and reconciling data across different systems, and then deciding what subsets of data to make available. [ 3 ] Previously, analytics was considered a type of after-the-fact method of forecasting consumer behavior by examining the number of units sold in the last quarter or the last year.
Chief analytics officer (CAO) is a job title for the senior manager responsible for the analysis of data within an organization, such as a listed company or an educational institution. The CAO often reports to the chief executive officer .
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