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The Complete Guide to Data Modeling Techniques

Every day, data analysts face the challenge of understanding and creating reports from their data warehouse. This difficulty may stem from the fact that data comes from multiple locations and often does not cohesively align. However, with a few tools at your disposal, you can efficiently create data modeling reports based on your organization's unique business needs. These techniques are some of the most effective data modeling techniques for data analytics teams everywhere.

User Profiles Are Indispensable to Great CX (and They Must Be Privacy-Compliant)

Until not very long ago, many organizations defined business strategies based on isolated figures used by isolated teams. Unfortunately for them, that approach just won’t cut it anymore. Instead, we are fastly moving to a world where data will be the critical asset for businesses, and handling it accurately will be essential to survival.

The Role of Data in Financial Service Mergers

Ned Lowe, CTO of Singlife shares how during their merger with Aviva Singapore, the need for scalability in a data platform and a single view of the one million plus customers was needed. In the process of bringing everything together, Singlife uses Snowflake to fuel future growth. Being in a regulated industry, Snowflake’s security and governance features have ensured their customer’s data is protected.

Announcing CDP Public Cloud Regional Control Plane in Australia and Europe

We’re excited to announce CDP Public Cloud Regional Control Plane in Australia and Europe. This addition will extend CDP Hybrid capabilities to customers in industries with strict data protection requirements by allowing them to govern their data entirely in-region.

The Ultimate Guide to Building a Data Pipeline

Data is the new oil. Almost every industry is becoming more and more data-driven, and this trend will only continue to grow in the coming years. With so many organizations now relying on data for decision-making, they must easily access and analyze their information through data pipelines. This article will get you started on how to build your own data pipeline.