#data-integration

Open Semantic Interchange standardizes metadata schemas across disconnected martech platforms according to [MarTech](https://martech.org/is-open-semantic-interchange-your-data-silo-cure/). The framework seeks to ensure that terms such as account, lead, or campaign metric carry identical meanings across every connected system.

Enterprise platforms currently spend millions of dollars on custom middleware to translate data definitions between systems.

Forrester projects worldwide martech spending to surpass $215 billion by 2027. Martech utilization sits around 49% industrywide according to Gartner. These figures appear in coverage at MarTech on turning marketing complexity into competitive advantage.

Customer data platforms must connect with analytics tools and commerce systems. McKinsey survey findings identify stack complexity and data integration as the most common barriers to full martech value.

The average enterprise now has every martech tool it could ask for, yet most still say stack complexity and integration are the primary blockers to realizing value, according to Demand Gen Report.

CMOs and CIOs have spent the last decade building increasingly sophisticated martech ecosystems by adding customer data platforms for personalization, journey tools for orchestration, AI for optimization, and new analytics for attribution. Most martech stacks are not the real problem.

A recent panel at the May edition of The MarTech Conference found that almost all attendees said they were not at all confident in their ability to succeed in a cookieless world, according to [MarTech](https://martech.org/how-to-activate-first-party-data-across-the-b2b-journey/).

Many first-party data conversations remain limited to risk mitigation, consent banners, and legal frameworks. Compliance is treated as a required baseline rather than a complete strategy.