Data & Analytics Using Brightpearl: Product Management1. Introduction to Data & Analytics
- Understanding the importance of data and analytics in business decision-making
- Exploring the role of data and analytics in product management
- Overview of the Brightpearl platform and its capabilities for data analysis
2. Data Collection and Integration
- Identifying relevant data sources for product management
- Extracting data from various systems and sources
- Integrating data into the Brightpearl platform for analysis
3. Data Cleansing and Transformation
- Understanding the importance of data quality in analytics
- Techniques for cleaning and preparing data for analysis
- Transforming data into a suitable format for analysis in Brightpearl
4. Data Visualization and Reporting
- Exploring different visualization techniques for product management data
- Creating visually appealing and informative reports using Brightpearl's reporting tools
- Interpreting and presenting data insights to stakeholders effectively
5. Key Performance Indicators (KPIs) for Product Management
- Identifying relevant KPIs for product management
- Setting benchmarks and targets for KPIs
- Monitoring and analyzing KPIs using Brightpearl's analytics capabilities
6. Product Performance Analysis
- Analyzing sales data to evaluate product performance
- Identifying trends, patterns, and opportunities for improvement
- Utilizing Brightpearl's analytics features to conduct product performance analysis
7. Customer Behavior Analysis
- Analyzing customer data to gain insights into behavior and preferences
- Segmenting customers based on their purchasing patterns
- Leveraging Brightpearl's analytics tools to understand customer behavior
8. Competitive Analysis
- Analyzing market and competitor data to identify strengths and weaknesses
- Benchmarking product performance against competitors
- Using Brightpearl's analytics capabilities to conduct competitive analysis
9. Forecasting and Demand Planning
- Utilizing historical data and market trends to forecast product demand
- Creating demand plans and optimizing inventory management
- Leveraging Brightpearl's forecasting tools for accurate demand planning
10. Data-Driven Decision Making
- Applying data and analytics to drive informed product management decisions
- Using data insights to identify growth opportunities and mitigate risks
- Incorporating data-driven decision-making principles into the product management process
11. Case Studies and Hands-on Exercises
- Analyzing real-world case studies to apply data and analytics concepts
- Hands-on exercises using Brightpearl's data and analytics features
- Collaborative discussions and problem-solving activities to reinforce learning
12. Best Practices for Data & Analytics in Product Management
- Implementing data governance and data security measures
- Ensuring data integrity and accuracy throughout the analytics process
- Continuous improvement and optimization of data and analytics practices
ConclusionBy the end of this course, participants will gain a comprehensive understanding of how to leverage data and analytics using the Brightpearl platform for effective product management. They will be equipped with the knowledge and skills to collect, integrate, cleanse, analyze, and visualize data to make data-driven decisions, improve product performance, and drive business growth.
This course is helpful for the following exams: Data & Analytics