Data infrastructure company Segment is now offering Protocols, a data governance product that ensures first-party customer data is clean, correct and trustworthy. Protocols automatically detects and prevents data errors in real time.
Read more about Protocols in Martech Advisor:
Poor data quality costs enterprise organizations $15 million a year on average, according to a recent survey from Gartner…
[…]
With Protocols, companies can solve three of the biggest challenges contributing to data quality issues: alignment, validation, and enforcement. Enterprises are able to:
• Standardize customer data collection across an organization. Analytics teams can stop using spreadsheets and instead create a data tracking plan within Segment. This serves as the single source of truth for customer data to maintain accuracy across teams. Protocols will provide industry-specific specs and templates, including for e-commerce, mobile, B2B SaaS, and more.
• Diagnose data quality issues before they impact production. Protocols automates the complex process of detecting invalid data and other data bugs, so that teams can ensure data quality well before that data is activated in marketing campaigns, product decisions, or business strategy.
• Protect critical business tools and data warehouses from bad data.
Protocols lets teams configure settings to keep data clean, accurate, and standardized across all marketing tools and data warehouses. This prevents even a minor data issue from affecting an otherwise clean data set.
