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."