Snowplow BDP Review

Snowplow BDP is a cloud-based online platform that enables companies to manage the quality, compliance and full observability of your data. The goal is to design a monitoring strategy and support you in managing behavioral data. Moreover, being scalable, it will evolve along with your business.
Thanks to Snowplow BDP‘s 24/7 customer support, you will always be supported by specialists who will know what to advise you to get more value from your data.

SNOWPLOW BDP – TUTORIAL

Here’s how this accurate data quality software works:

SNOWPLOW BDP – FEATURES

• Generate behavioral data: generate a high-quality behavioral data set as a source of truth for your organization, unified across all platforms and channels
• Govern behavioral data: with governance tooling built in at every stage of the solution you can control the quality and compliance of your data
• Model behavioral data: out-of-the-box, customisable incremental web and mobile models that shorten time to value
• Generate data across all platforms and channels: generate data from web, mobile, server-side tracking and almost any channel you wish using our array of trackers and webhooks
• Quality assured at every stage: data quality is designed into the platform at every stage. Define events up-front, QA using CI/CD and sandbox environments, and monitor quality during processing
• One raw data set, endless possibilities: collect a unified, high-quality raw data set that can be deployed and modeled in multiple ways to serve endless use-cases
• Data delivered where it is needed: data is delivered at low-latency to real-time streams, to your data warehouse and to your data lake
• Execute faster: your data lands in a highly-expected structure making it easy for consumers to process. Less time preparing data and more time executing
• Collaborative workflows to evolve your tracking: evolve the structure of your data, how it is enriched and how it is modeled with confidence using the structured workflows provided in Snowplow console and our APIs
• Tooling to monitor your data flows: monitor your pipeline infrastructure, data quality and data modeling. Set up alerts about potential issues so you can address them early on
• Configure your pipeline settings: view and manage exactly how your pipeline is set up for tracking including first-party tracking domains, tracking paths and cookie settings.