Learn about ObservePoint's complete suite of tag governance solutions to help you validate your analytics and marketing implementation.
×
Share this Presentation
Other content in this Stream

3 Ways to Optimize Your Website with Test Automation: Data Quality, SEO, & Page Performance
Learn from Ali Shoukat, Marketing Technologist at Cisco, and Chris O'Neill, Solutions Engineer at ObservePoint, how to use test automation to improve various aspects of site performance.
Scary Analytics Data? 7 Things You Can Do About It
This eBook discusses the reality of bad data and common issues that affect your web analytics solution. Learn seven ways to fix, manage, and prevent scary data.

Webinar - Migrating from Adobe DTM to Launch: A 4-Phased Approach
Learn how to migrate your legacy Adobe Dynamic Tag Management implementation over to Adobe's new TMS, Launch by Adobe.
Migrating from DTM to Adobe Launch: A 4-Phased Approach
Learn how to migrate your Adobe Dynamic Tag Management implementation over to Adobe's new TMS: Launch by Adobe, before the DTM shutdown hits.
From UX to User Loyalty: Great Digital Experiences Start With Accurate Analytics Data
This eBook outlines 5 steps for building better online experiences, with a focus on ensuring data accuracy.

Analytics Testing with ObservePoint Is an Ongoing Practice
Discover why maintaining accurate data on an ongoing basis is critical to giving your customers amazing experiences.
How Carnival Corporation Made a Smooth Transition from DTM to Launch with ObservePoint
Learn how travel and leisure giant Carnival Corporation used ObservePoint to migrate from Adobe DTM to Launch by Adobe with 75% less resources than expected.
5 Pillars of a Successful Website Tagging Strategy
Without an effective data governance program, companies run the risk of data loss, inefficient data analysis and unauthorized data transmission.
How to Solve the 4 Most Common Challenges in Campaign Tracking
This eBook explains best practices for standardizing, generating, storing, and validating tracking links to ensure your campaigns have high-quality data that you can feel comfortable acting on.
The Tag Governance Framework: How to Govern Your Analytics and Marketing Tags
Digital analytics holds the key to understanding your users. But what's the key to good digital analytics data? Learn more.
RS Components Tests Their Analytics Data at Every Release with ObservePoint
Learn how RS Components implemented regular release validation on their website to ensure that nothing broke between website or analytics updates.

Tag Auditing for Beginners
Learn more about what tag auditing is and how it helps companies collect accurate data.
How to Catch Analytics Errors Before They Destroy Your Credibility
Take a proactive approach to governing your analytics and marketing tags so you can avoid losing face with people that need your data.
Organize For Digital Intelligence With Three Models
Learn three methods from Forrester Research for how to structure digital intelligence within your organization.

Lara Fisher - ROI vs. ROAS Understand The Value of Your Marketing Efforts
Learn how you can use digital analytics solutions to compare marketing campaigns, measure performance, and improve ROI.

Adobe Analytics Audit: 6 Tips to Review Traffic Sources and Site Activity
Are you using your enterprise-grade analytics solution with the maturity of an analytics master? Learn how to conduct an Adobe Analytics audit and find out.

Thinking about a Web Analytics Audit? Consider These 5 Questions
Explore the need to perform a web analytics audit in order to support better data quality and enable leaders to make better data-driven decisions.

Karen Bellin - Data & Analytics Ecosystem and the Marketing Cloud
Discover ways to refine and optimize existing products through data and analytics.
Analytics Monitoring: How to Ensure Your Implementation Stays Up and Running
This eBook walks through how an analytics monitoring solution can help you periodically scan the pages on your site to ensure accurate data collection and positive user experiences.

5 Key Steps of A Machine Learning Project Lifecycle