# Resources for marketing data you can trust

Everything Claravine publishes to help you define, apply and govern your marketing data: guides and tools to learn from, webinars and podcasts to hear it argued, and the Academy and Knowledge Base once you're on the platform.

## Guides
- [Ebooks, playbooks and reports on building a taxonomy, governing metadata and getting data ready for AI.](/content/resources/guides/index.html)

## Tools
- [Size the problem before you buy anything: an ROI calculator and a free, read-only Data Health Check.](/content/resources/tools/index.html)

## Knowledge Base
- [Set up and get the most from the platform, article by article, in the help centre.](https://support.claravine.com/hc/en-us/)

## Claravine Academy
- [Virtual training and certification by role, for customers and partners.](/content/academy/index.html)

## Webinars
- [On-demand sessions with Claravine's team and partners, every recording playing in place.](/content/resources/webinars/index.html)

## Podcasts & Videos
- [Claravine's videos, and its leaders as guests on data and marketing podcasts.](/content/resources/podcasts/index.html)

## Events
- [Meet the Claravine team at conferences and live sessions.](/content/events/index.html)

## Guides
- [**The Ultimate Guide to Data Standards for Marketers**: The no-nonsense roadmap to marketing data harmony — why data chaos costs you, the anatomy of a solid taxonomy, the most common standardization mistakes, templates to align your team, and standards that hold up for AI and automation.](/content/resources/guides/ultimate-guide-to-data-standards/index.html)
- [**The AI-Ready Data Blueprint**: The blueprint enterprise teams use to make marketing data AI-ready before spending more on tools — why AI pilots stall, the six characteristics of AI-ready data, a four-phase roadmap with timelines, and two enterprise case studies.](/content/resources/guides/ai-ready-data/index.html)
- [**Data Governance Audit Workbook**: A free audit workbook to uncover the taxonomy chaos costing you budget, time and trust in your numbers — campaign naming, custom-field sprawl, channel tracking, DAM, privacy tagging and the integration points where data silently changes.](/content/resources/guides/data-governance-and-taxonomy-workbook/index.html)

## Webinars
- [**Streamlining your content creation process**: Claravine and IntelligenceBank on taking control of content management and compliance — categorization and standardization, workflows built into daily processes, collaboration across teams, and better measurement through content categorization.](/content/resources/webinars/streamlining-your-content-creation-webinar/index.html)
- [**Align ad campaign data for faster insights and optimization**: How managing data standards in your advertising platforms — Google Ads, Campaign Manager 360, Pinterest, Snapchat and Meta — enriches campaign data in analytics and BI, cuts manual work for ad ops, and gets you to insights in minutes.](/content/resources/webinars/the-data-standards-cloud-ad-integrations-webinar/index.html)
- [**The new era of mobile marketing requires data standards**: The biggest challenges facing mobile marketers, and how the Data Standards Cloud generates consistent links at scale for Branch, AppsFlyer, Bitly and QR Code Monkey, coordinates work across teams, and enriches links with the metadata measurement needs.](/content/resources/webinars/the-data-standards-cloud-mobile-marketing-webinar/index.html)

### **Reduce Marketing Waste: What's Actually Recoverable** 
Most marketing-waste advice targets media decisions. A large share of what gets counted as waste is untracked spend — a measurement problem, not a media one.

[Read More](/content/blog/reduce-marketing-waste/index.html)

### **CRM Data Integrity: How to Audit It, and What the CRM Cannot Fix** 
CRM data integrity means records that are complete, consistent and trustworthy. Here's how to audit it — and which problems arrive already made.

[Read More](/content/blog/crm-data-integrity/index.html)

### **Data Clean Rooms: What They Solve, and What They Assume** 
A data clean room lets two parties analyze combined data without exposing records. It also assumes both sides describe the same things the same way.

[Read More](/content/blog/data-clean-rooms/index.html)