With marketing analytics now influencing more than half (53%) of marketing decisions, there’s finally some good data around using data in marketing. In fact, Gartner found that when analytics influences less than 50% of decisions, organizations find it challenging to prove the value of their marketing.

Recently, I got my hands dirty working with Apache Flink®. The experience was a little overwhelming. I have spent years working with streaming technologies but Flink was new to me and the resources online were rarely what I needed. Thankfully, I had access to some of the best Flink experts in the business to provide me with first-class advice, but not everyone has access to an expert when they need one.

Traditional metrics like ticket resolution time or customer satisfaction scores (CSAT) are undeniably significant. However, to gain a more holistic picture, product analytics can be applied to: ‍

Semantic layers are a game changer, allowing organizations to define metrics and business logic in one, centralized location. Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Looker Modeler has become a leader among semantic layers, allowing users to seamlessly layer on top of their business data.

Automation, reliability and scale are the seeds for growing innovation.

Snowflake and Salesforce have built on our existing partnership to unify the full breadth of customer and business data and generate actionable insights for our customers. We are happy to announce the general availability of Bring Your Own Lake (BYOL) Data Sharing with the Snowflake Data Cloud from Salesforce Data Cloud. Organizations can now leverage Salesforce data directly in Snowflake via zero-ETL data sharing to accelerate decision-making and help streamline business processes.