Descriptive analytics is used to analyze historical data to gain insights that can be used in making better business decisions in the future. In this course, students learn about and apply the principles and techniques of business data analysis using Excel and popular data analysis software. QSO-560 requires MBA-501 and MBA-504 as prerequisites, positioning it within SNHU's MBA Business Analytics concentration.
Looking backward specifically to inform forward decisions
The course's descriptive analytics focus explicitly analyzes HISTORICAL data, teaching students that understanding what already happened is the genuine foundation for making better decisions about the future, not a separate historical curiosity.
Visual presentation as part of genuine analytical competency
QSO-560's competency in presenting visual solutions treats data visualization as an integral part of descriptive analytics, not an afterthought separate from the analysis itself.
Key topics in QSO560
- Analyzing historical business data
- Descriptive analytics principles and techniques
- Excel and data analysis software
- Interpreting historical data patterns
- Presenting visual data solutions
- Data-informed future decision-making
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Worked example: historical data informing a future decision
- Forward-only approach: Making business decisions based on assumptions about the future without examining historical patterns
- QSO-560's approach: Analyzing genuine historical data patterns to inform a better-grounded future business decision
- Lesson: QSO-560 teaches that understanding historical patterns is the genuine foundation for sound forward-looking business decisions, not a separate backward-looking exercise
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Frequently asked questions
Sound predictions about future business activities genuinely depend on first understanding what has actually happened historically — the patterns, trends, and relationships within past data provide the foundation that any credible forecasting method must build upon. QSO-560 focuses on this descriptive foundation first because attempting predictive analytics without solid historical understanding would produce forecasts built on an incomplete or poorly-understood data foundation.
Descriptive analytics techniques are genuinely most useful when applied within the broader business decision-making context that MBA-501 and MBA-504 establish, ensuring students can connect historical data analysis to real strategic and operational business questions rather than treating analytics as a purely technical exercise disconnected from business context. This prerequisite structure reflects that QSO-560's analytics content is meant to serve genuine MBA-level business decision-making, not stand alone as isolated technical training.