Analysis for Management Decisions

Code

904

Start Date

2025-02-09

End Date

2025-02-13

City

Casablanca

Price

3950 $

Language

Participants

1-15

Hotel

Hotel Meeting Room

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Introduction:

Data is a powerful tool that is available to organizations at a staggering scale. When harnessed correctly, it has the potential to drive decision-making, impact strategy formulation, and improve organizational performance.

According to a report by business intelligence company MicroStrategy, 56 percent of respondents said data analytics led to “faster, more effective decision-making” at their companies. Other benefits cited include:

This Analysis for Management Decisions training course will highlight:

Guide to Data & Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics

Objectives

Identify difference between Data Science vs. Data Analytics
Apply Data Analytics In Business
Apply Descriptive Analytics
Apply Diagnostic Analytics
Apply Predictive Analytics
Apply Prescriptive Analytics

Organisational Impact

Improved efficiency and productivity
Better financial performance
Identification and creation of new product and service revenue
Improved customer acquisition and retention
Improved customer experiences
Competitive advantage

Course Outline

DAY 1 : A Beginner’s Guide to Data & Analytics
- Data science vs. Data analytics
- Data science in business
- Data analytics in business
- Data literacy
- Data ecosystem & lifecycle
- Data privacy & ethics
- Data integrity
- Building your data & analytical skill set
- 7 data & analytics skills you need
- How to improve your skills
- The data-driven decision-making framework
DAY 2 : Descriptive Analytics
- Traffic and engagement reports
- Financial statement analysis
- Demand trends
- Aggregated survey results
- Progress to goals
- Data visualization techniques
DAY 3 : Diagnostic Analytics
- Hypothesis testing
- Correlation vs. Causation
- Diagnostic regression analysis
- Examining market demand
- Explaining customer behavior
- Identifying technology issues
- Improving company culture
DAY 4 : Advanced Analytical Techniques and Predictive Modeling
- Regression analysis
- Single linear regression
- Multiple regression
- What if analysis
- Logical functions
- Data tables
- Scenarios
DAY 5 : Prescriptive Analytics
- Venture capital: Investment decisions
- Sales: Lead scoring
- Content curation: Algorithmic recommendations
- Banking: Fraud detection
- Product management: Development and improvement

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