https://store-images.s-microsoft.com/image/apps.46953.898dfe17-9f1f-4e43-8eea-e99e7f588089.5e496209-14db-4bcd-af42-50a87b92e611.148d2a77-dd2d-4ef6-9be0-5dd8e358f59d
Optimize marketing decision making through a Unified Marketing Platform
Objective: Optimize marketing decision making through a Unified Marketing Platform powered by a robust marketing data lake and robust ML models
Key Challenges Addressed:
- Fragmented view of customer/marketing data across legacy systems
- Inefficient data models leading to high dependency on IT/technical team
- Lack of customer/marketing insights to drive key investment decisions
- Scope of data consumption layer is limited
How do we address your challenges:
1.The acceleration layer uses 15+ accelerators to develop one analytics workbench for customer science, insights & measurement, C-journeys etc.
2. Multiple data consumption layers available for multiple personas including built in dashboards, ad-hoc query simulator etc.
3. Customer is the center of every decision with robust AI/ML analytics and visualizations
4. Integration of Marketing, Finance and Planning to enable faster decision making
This implementation uses the following native Azure components:
- Azure Data Factory: For data extract-transform-load (ETL) to deal with data coming from disparate internal and external systems.
- Azure App Services and Power BI: For developing web apps and dashboards for users to consume insights
- Azure Databricks: For developing ML models at scale
- Azure analysis services: To develop and maintain data models
- Azure SQL Database: To store ML model output for further consumption through dashboards or simulation
At a glance
https://store-images.s-microsoft.com/image/apps.60771.898dfe17-9f1f-4e43-8eea-e99e7f588089.5e496209-14db-4bcd-af42-50a87b92e611.99528271-1a75-4dbc-a063-f6251520b213
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