Sharing data
The Data Sharing feature in CDP leverages Snowflake to provide fast and direct
access to customer data at scale.
To create meaningful and enriched user experience, organizations need more and
more data. However, with the manifold growth of data, organizations find it
difficult to transform the data to tangible insights or actions.
The Data Sharing feature allows integration of data from CDP to organizational
processes. This feature strives to provide access to clean, processed, and
current data, thereby empowering you to make data-driven decisions.
Based on Acquia’s strategic partnership with Snowflake, this feature provides
reporting and full SQL access to processed, record-level data in CDP with fast
query performance through Snowflake. Therefore, marketing, IT, and data science
teams can take advantage of large amount of omnichannel customer data. This data is
further enhanced with CDP’s online-offline identity resolution and predictive
analytics.
With this feature, data is instantly shared from CDP’s Snowflake account
(data provider) to your Snowflake account (data consumer). With secure data
sharing, data does not move. This feature eliminates cost and delays associated
with legacy data sharing methods. The shared data is immediately available for
use in your Snowflake account without any transformation, data movement,
loading, or reconstruction.
Use cases
- Use your own business intelligence and analytics platform: Your team
might already be using a BI or analytics tool. While the Metrics feature in CDP is
built on an industry-leading analytics platform, Acquia does not expect you
to retire your existing analytics tools. With this feature, you get full
JDBC and ODBC connectivity to CDP’s shared database along with a host of
other interfaces in Snowflake’s ecosystem. For more information, see
documentation
- Analyze CDP’s data with external non-CDP data: CDP might not have
all operational data such as financial forecasts, supply chain, and inventory
management. Integrating transactional data from a CDP to operational data
leads to insightful results. This is much easier when the entire data is
available in the same data warehouse. With this feature, you can join
multiple databases, including CDP’s shared database, in the same query or
report.
- Build on top of CDP’s data: CDP allows you to build your own machine
learning models. The success of any ML project depends on your access to
readily-available clean data. With this feature, you get access to enriched
data in your Snowflake account. You do not need to depend on your IT team to
manage a complex ETL process. Your team can do experiments and build models
efficiently leveraging CDP’s data. You can even feed the results of your ML
models to CDP for usage in Actions and 360 Profiles.