NetSpring broadens access to all customer and business data in BigQuery for more business impactful product & behavioral analytics
NetSpring announced it has successfully achieved Google Cloud Ready – BigQuery Designation.
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NetSpring has proven its integration with BigQuery has met a core set of functional and interoperability requirements. This designation accelerates the evaluation process for customers by providing them with the confidence NetSpring works with BigQuery.
Google Cloud Ready – BigQuery is a partner integration validation program that increases customer confidence in partner integrations with BigQuery. As part of this initiative, Google engineering teams validate integrations in a three phase process:
- Run a series of data integration tests and compare results against benchmarks
- Work closely with partners to fill any gaps
- Refine documentation for our mutual customers
By earning this designation, NetSpring has proven its integration with BigQuery has met a core set of functional and interoperability requirements. This designation accelerates the evaluation process for customers by providing them with the confidence NetSpring works with BigQuery.
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“Trusted data is critical for making impactful product decisions,” said Ritika Suri, Director of Technology Partnerships at Google Cloud. “This designation indicates that customers can securely access any data in BigQuery to enrich their user behavioral data with the necessary business context to dramatically improve their product and customer experience.”
“Our joint customers are benefiting from the investments they have made in BigQuery,” said Vijay Ganesan, CEO of NetSpring. “Next-generation product analytics is warehouse-native and architected on the modern data stack to support ad hoc visual exploration of funnels and paths alongside account-level revenue, customer support, or marketing data. By avoiding any data duplication, this approach also offers benefits in terms of privacy and security, as well as total cost of ownership.”
“NetSpring is the Holy Grail of product analytics. You don’t have to move your data anywhere,” said Chang Yu, VP of Product at Ergatta. “It sits directly on BigQuery, looks across all data sets, and supports both traditional BI and modern event-centric product analytics.”
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