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2. Data steward - Wikipedia

   en.wikipedia.org/wiki/Data_steward

   A data steward is an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets.

3. Chief analytics officer - Wikipedia

   en.wikipedia.org/wiki/Chief_analytics_officer

   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 .

4. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. [2] In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. [3]

5. Business analyst - Wikipedia

   en.wikipedia.org/wiki/Business_analyst

   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 ]

6. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   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.

7. Business intelligence - Wikipedia

   en.wikipedia.org/wiki/Business_intelligence

   Business intelligence (BI) consists of strategies, methodologies, and technologies used by enterprises for data analysis and management of business information. [1] Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text ...