GCP x CDP Customer Data Service

Google Cloud provides efficient data storage, analytics and security, while the CDP (Customer Data Platform) provides the ability to integrate and manage data from multiple sources and assist in customer segmentation, enabling enterprises to easily integrate various data sources and realize comprehensive data analysis and insights. 

At the same time, the scalability and flexibility of Google Cloud allows organizations to flexibly expand their data processing and storage capabilities based on demand. It provides enterprises with more effective data management and realization capabilities.

Data monetization challenge

Data silos

- Data from different pipelines cannot be consolidated.
- Data has different formats or structure, which require effective data extraction and transformation.

The data cannot be cleansed

The data quality across various sources may vary, requiring cleaning, validation, and transformation processes to ensure consistency and accuracy in the data

Data application obstacles

- Lack of analytical resources prevents effective categorization and transformation of the data.
- Unable to make effective predictions based on the existing data.

cacaFly Cloud AI customer data solution

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Using Google Cloud as the development platform, combining big data analytics, AI, and machine learning tools accelerates data processing and reporting. Effectively build a dedicated data analytics database for businesses.

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