Analysis for Management Decisions

This training course is practical with hands-on training on MS Excel & PowerBI Desktop. 20% of the training course is theory built. 80% uses MS Excel & PowerBI Desktop. Laptops will be made available duration of the training.

At the end of this Analysis for Management Decisions training course, you will learn to:

• 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

This Gulf Rowad Analysis for Management Decisions training course is suitable to a wide range of professionals but will greatly benefit:

• Marketers, who utilize customer data, industry trends, and performance data from past campaigns to plan marketing strategies
• Product managers, who analyze market, industry, and user data to improve their companies’ products
• Finance professionals, who use historical performance data and industry trends to forecast their companies’ financial trajectories
• Human resources and diversity, equity, and inclusion professionals, who gain insights into employees’ opinions, motivations, and behaviors and pair it with industry trend data to make meaningful changes within their organizations

Organisational Impact

The Organisation will have the following benefits,

• 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

Personal Impact

The participants will have the following benefits from this Analysis for Management Decisions training course,

• Learn how can you harness the power of data and experience these benefits
• Learn how to analyze data effectively can enable you to draw conclusions, predictions, and actionable insights to drive impactful decision-making
• Improve the skills for professionals in a variety of job roles
• Perform numerical or general data analysis
• Shaping and combining data for the purpose of analysis