A new product has dropped from Snowplow with the first of its Data Product Accelerators (DPAs). This innovative new technology was designed to help accelerate the journey from ideation to outcome when designing business-critical data products.

In addition, the company has also announced preview availability of new offerings within its Behavioral Data Platform (BDP) portfolio, including BDP Cloud and BDP Enterprise.

As further background, Snowplow is known for founding the "Data Creation" category, which involves the deliberate creation of data to power AI and advanced data applications. The company hundreds of customers across a broad range of sectors and geographies, including Strava, The Economist, Sophi / Globe and Mail,  Buzzabo, Weebly, Hudl, Auto Trader, The Financial Times, Omio and Secret Escapes; as a Commercial Open-Source Software (COSS) company, Snowplow also has tens of thousands of open-source users.

Data Product Accelerators

The new DPAs lay the foundation for the fast creation of data apps, providing a step-by-step guide or referencing data architecture to effortlessly deliver high-impact use cases that solve specific business needs or problems. For example, the Composable CDP DPA will use Databricks, machine learning, and Hightouch to enable the creation of a composable CDP-which an organization could use to collect behavioral data from all customer touchpoints and build a single customer view, to better understand customer behavior and power personalization at scale. 

The DPAs will be available in an online library and soon to be released within the Snowplow platform, and will include a high-level solution overview, clear implementation process, and technical accelerators to help organizations bring their data products to market faster. There are four DPAs available at launch, including Advanced Analytics for Web (both Snowflake and Databricks), Composable CDP with Predictive ML Modeling, Advanced Analytics for Hybrid Mobile, and Advanced Analytics for Mobile.  

Snowplow President, Chief Product and Marketing Officer, Nick King explained: "These DPAs will help our customers to easily understand and experience the value of Snowplow, in a context that is highly meaningful to them."

BDP Cloud

Snowplow has also announced the preview of Snowplow BDP Cloud, a new iteration of the behavioral data platform that empowers organizations to create, evolve, and manage behavioral data at scale. Fast to implement, Snowplow BDP Cloud is targeting EU and North American markets initially-removing the burden of deploying Snowplow in your own environment, and ensuring GDPR, and other regulatory compliance. Snowplow BDP Cloud is available as a private preview and customers can sign up here to gain access. 

BDP Enterprise

Available today, BPE Enterprise customers are able to take advantage of the Tracking Catalog. This new feature provides the ability to create an organizational wide view of their tracking architecture, which allows teams to effectively discover, evolve, and manage versioning for their events and entities. Team members of all technical levels can find out about the event, entities, and properties collected by Snowplow. This is particularly helpful for Data Product Managers, a role which requires fast and effective data discovery. 

"Using the Tracking Catalog allows us to review the graph of events and entities holistically - with the goal being to review our tracking architecture and increase the quality of our event collection," said UK's AutoTrader Engineering Platform and Data Director, Darren Haken. "It can also provide a non-technical view to our Product Managers - helping them understand what events they are collecting on the product."

BDP Portfolio

The new Snowplow BDP portfolio of Cloud and Enterprise is designed to help make advanced analytics available to more businesses. 

Alex Dean, Snowplow's co-founder and CEO commented: "Already, customers like Strava, Gousto, and DPG Media are forging ahead with Data Creation using Snowplow. These new offerings will pave the way for more organizations across the globe to tap into the rich possibilities of using behavioral data to power advanced analytics and AI applications."