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5.0
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1,000
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Search Results
| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BUAN 6386 Naser Islam | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
BUAN 6386 Naser Islam | |||||
Naser Islam
[email protected]Grades: 3,643
Median GPA: A-
Mean GPA: 3.444
2.5
Professor rating
3.1
Difficulty
71
Ratings given
19%
Would take again
SAP Cloud Analytics
BUAN 6386
Naveen Jindal School of Management
The course allows students to learn about the capabilities of SAP Analytics Cloud that combines business intelligence, planning, predictive, and augmented analytics capabilities into one cloud environment to support business processes. Students also learn about SAP AI technologies and an in-memory database, which are part of the SAP Analytics Cloud. Students will also learn about Augmented Analytics which helps users ask questions in a conversational manner and get instant results explained in natural language, detect drivers of a KPI and take the best action using automated machine learning that discovers unknown relationships in data and predict outcomes, generate forecasts and automate predictive planning. Students also learn about the modeling environment to create planning models and import data, as well as the standard planning features available in the story. Advanced planning capabilities like value-driver trees, data actions, advanced formulas, and allocations, combined with Smart Predict, an environment to create and train predictive models. 3 credit hours.
Offering Frequency: Each semester
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Grades: 0
Median GPA: None
Mean GPA: None
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Naser Islam
[email protected]Grades: 3,643
Median GPA: A-
Mean GPA: 3.444
2.5
Professor rating
3.1
Difficulty
71
Ratings given
19%
Would take again
SAP Cloud Analytics
BUAN 6386
Naveen Jindal School of Management
The course allows students to learn about the capabilities of SAP Analytics Cloud that combines business intelligence, planning, predictive, and augmented analytics capabilities into one cloud environment to support business processes. Students also learn about SAP AI technologies and an in-memory database, which are part of the SAP Analytics Cloud. Students will also learn about Augmented Analytics which helps users ask questions in a conversational manner and get instant results explained in natural language, detect drivers of a KPI and take the best action using automated machine learning that discovers unknown relationships in data and predict outcomes, generate forecasts and automate predictive planning. Students also learn about the modeling environment to create planning models and import data, as well as the standard planning features available in the story. Advanced planning capabilities like value-driver trees, data actions, advanced formulas, and allocations, combined with Smart Predict, an environment to create and train predictive models. 3 credit hours.
Offering Frequency: Each semester
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.