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2. Leaders for Global Operations - Wikipedia

   en.wikipedia.org/wiki/Leaders_for_Global_Operations

   Every LGO student conducts a six-month industry-based research project. The projects focus on unique research in operations, data analytics, product development, manufacturing, and other high tech problems across many different industries. LGO internships provide an industrial “laboratory” for research on operations management and engineering.

3. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   Data science process flowchart from Doing Data Science, by Schutt & O'Neil (2013) Analysis refers to dividing a whole into its separate components for individual examination. [10] Data analysis is a process for obtaining raw data, and subsequently converting it into information useful for decision-making by users. [1]

4. SAS Institute - Wikipedia

   en.wikipedia.org/wiki/SAS_Institute

   SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is ...

5. DataOps - Wikipedia

   en.wikipedia.org/wiki/Dataops

   DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

6. Joyce Hunter - Wikipedia

   en.wikipedia.org/wiki/Joyce_Hunter

   She did a data analytics internship at Hallmark Cards. After that, she got into the IT sales training program at Digital Equipment Corporation.. In 2009 she became the CEO of Vulcan Enterprises, after working as a Major Account Executive and Global Account Manager for ten years at Lotus Development Corporation in the 1990s.

7. Data science - Wikipedia

   en.wikipedia.org/wiki/Data_science

   Data analysis focuses on extracting insights and drawing conclusions from structured data, while data science involves a more comprehensive approach that combines statistical analysis, computational methods, and machine learning to extract insights, build predictive models, and drive data-driven decision-making. Both fields use data to ...