Data-Driven Decisions in Business Operations
37mGeneral2024-10-05
Authors
Madecraft
Full-Service Learning Content Company
Lynette Robinson
Course details
Data is the backbone of modern business, offering insights that drive strategic decisions and operational improvements. This comprehensive course, led by business operations expert Lynette Robinson, equips you with the knowledge to navigate the complexities of data in business. From understanding different data types and navigating analytics tools to leveraging big data and predictive analytics for forecasting, you'll learn to collect, manage, and analyze business data effectively.
Learning objectives
Classify various types of business data for effective analysis.
Implement strategies for efficient data collection and management.
Utilize data analytics tools and techniques to extract actionable insights.
Apply predictive analytics for forecasting trends and operational needs.
Create strategic plans based on data insights to achieve operational excellence.
Learning objectives
Classify various types of business data for effective analysis.
Implement strategies for efficient data collection and management.
Utilize data analytics tools and techniques to extract actionable insights.
Apply predictive analytics for forecasting trends and operational needs.
Create strategic plans based on data insights to achieve operational excellence.
Skills covered
Decision-MakingOperations ManagementBusiness AnalyticsProject ManagementLimited SeriesData ScienceProfessional DevelopmentBusiness Analysis and StrategyLeadership and Management
Concepts
0. Introduction
- 01 - Investigating the use of data in business
1. Starting with Data Analytics
- 02 - Comparing business data types
- 03 - Data analytics tools and techniques
2. Data Collection and Utilization
- 04 - Collect business data effectively
- 05 - Manage and organize business data
3. Strategically Use Data for Decisions
- 06 - Analyze business operations data
- 07 - Interpret data for business decision making
- 08 - Predictive analytics for operations
4. Overcoming Challenges in Data-Driven Operations
- 09 - Address data quality issues
- 10 - Collecting data ethically
- 11 - Analyzing data ethically
- 12 - Emerging trends in data analytics
Conclusion
- 13 - Create your action plan
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