This course equips learners with essential skills in data analysis and financial management to support effective decision-making in account management. Learners will explore techniques for managing financial data, analyzing key performance indicators, and using customer data to enhance account strategies. The course emphasizes technology-driven approaches — including Power BI, Excel, and Microsoft Copilot — to collect, process, and visualize data efficiently.
Data-Driven Decision Making in Account Management
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Data-Driven Decision Making in Account Management
This course is part of Microsoft Account Manager with Generative AI Professional Certificate
Instructor: Microsoft
Included with
Gain insight into a topic and learn the fundamentals.
Advanced level
Designed for those already in the industry
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
- Budget Management
- Data-Driven Decision-Making
- Customer Analysis
- Strategic Decision-Making
- Microsoft Copilot
- Analytics
- Data Integrity
- Performance Analysis
- Customer Insights
- Financial Data
- Data Processing
- Power BI
- Service Improvement
- Account Management
- Account Strategy
- Financial Management
- Data Management
- Data Collection
- Data Analysis
- Key Performance Indicators (KPIs)
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Microsoft Account Manager with Generative AI Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
There are 4 modules in this course
This module establishes systematic methodologies for collecting, organizing, and processing account-related data that drives informed decision-making in account management. Students will learn data quality principles, collection strategies, and techniques for ensuring data accuracy and completeness across multiple sources. The module emphasizes the importance of consistent data management practices and how proper data organization supports advanced analysis and reporting. Learners will master techniques for leveraging AI assistance to streamline data processing while maintaining data integrity and developing automated workflows for ongoing data management.
What's included
4 readings6 assignments
This module introduces financial management principles that enable account managers to make informed decisions about account profitability and resource allocation. Students will learn fundamental financial concepts, budgeting and forecasting techniques, and methods for integrating financial analysis with strategic planning. Through practical applications using Microsoft tools and Copilot assistance, learners will develop skills in financial communication, business case development, and creating systematic approaches to financial accountability in account management contexts.
What's included
3 readings7 assignments
This module focuses on developing expertise in Key Performance Indicator (KPI) development, analysis, and communication that drives performance improvement and stakeholder accountability in account management contexts. Students will learn to identify meaningful metrics, create comprehensive tracking systems, and present KPI insights that support data-driven decision making and continuous improvement across account portfolios.
What's included
3 readings7 assignments
This module examines systematic approaches to customer usage monitoring and analytics, providing insights into client engagement, satisfaction, and growth opportunities. Students will learn methodologies for usage tracking, behavioral analysis techniques, and service enhancement strategies based on analytical findings. The module emphasizes proactive monitoring, enabling early intervention and opportunity identification, while leveraging Power BI and AI assistance for comprehensive usage analytics.
What's included
3 readings8 assignments
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