Six months master data warehouse management strategy roadmap
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Description:
The image presents a "Six Months Master Data Warehouse Management Strategy Roadmap," which outlines a strategic plan for developing a data warehousing solution over a six-month period. The roadmap is divided into monthly increments and describes key activities and milestones.
In Month 1, the focus is on creating a database warehouse for sales data inventory. As we move to Month 2, activities include extracting, transforming, and loading for a sales database warehouse, which is a process often referred to as ETL. Parallel to this, Month 2 also schedules training sessions for the team.
By Month 3, the strategy shifts to enhancing core reports and extending the ETL process to non-sales database warehouses. Subsequent training is also mentioned in this month, indicating ongoing education and professional development.
In Month 4, we see further development with other data sources and dashboard integration. This likely refers to the incorporation of diverse types of data beyond sales data into the warehouse and preparing dashboards for visualization and analysis.
Month 5 focuses on decommissioning, which is the process of safely removing legacy systems and transitioning fully to the new system. Finally, the last month, Month 6, is not explicitly detailed but could signify the completion and optimization of the data warehouse project.
Beneath the monthly timeline, there's a phase tracker indicating the completion of various stages of the project, correlated with specific types of dashboards Sales, Inventory, E-Commerce, Finance, Marketing, and HR that are being developed or rolled out as part of the data warehouse initiative.
Use Cases:
Industries where this slide can be quite pertinent include:
1. Retail:
Use: Planning and tracking the development of a retail data warehouse
Presenter: IT Project Manager or Chief Technology Officer
Audience: Retail Management Team
2. Manufacturing:
Use: Monitoring the implementation of data warehousing to improve manufacturing efficiency
Presenter: Data Systems Manager
Audience: Manufacturing Executives and Stakeholders
3. E-Commerce:
Use: Strategy briefing on data consolidation and dashboard creation for e-commerce analytics
Presenter: E-commerce Operations Director
Audience: E-Commerce Team and Data Analysts
4. Banking:
Use: Demonstrating a data warehouse strategy to manage financial data
Presenter: Chief Information Officer
Audience: Bank Executives and IT Departments
5. Healthcare:
Use: Outlining the data warehousing strategy for managing patient data and healthcare services
Presenter: Healthcare IT Manager
Audience: Healthcare Administrators and Clinical Staff
6. Marketing:
Use: Strategy planning for marketing data consolidation and reporting
Presenter: Marketing Analytics Lead
Audience: Marketing Department
7. Human Resources:
Use: Explaining the roll-out of a data warehouse for HR analytics and dashboard monitoring
Presenter: HR Director
Audience: HR Team and Executives
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