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The Data Disconnect: Restoring Common Sense and Context to Marketing Analytics
Manage episode 523285230 series 2986848
Text us your thoughts on the episode or the show!
In this episode of OpsCast, hosted by Michael Hartmann and powered by MarketingOps.com, we are joined by Nadia Davis, VP of Marketing, and Misha Salkinder, VP of Technical Delivery at CaliberMind. Together, they explore a challenge many Marketing Ops professionals face today: how to move from being data-driven to being data-informed.
Nadia and Misha share why teams often get lost in complexity, how overengineering analytics can disconnect data from business impact, and what it takes to bring context, clarity, and common sense back to measurement. The conversation dives into explainability, mentorship, and how data literacy can help rebuild trust between marketing, operations, and leadership.
In this episode, you will learn:
- Why “data-drowned” marketing ops is a growing problem
- How to connect analytics to real business outcomes
- The importance of explainability and fundamentals in data practices
- How to simplify metrics to drive alignment and action
This episode is perfect for marketing, RevOps, and analytics professionals who want to make data meaningful again and use it to guide smarter, more strategic decisions.
Episode Brought to You By MO Pros
The #1 Community for Marketing Operations Professionals
Ops Cast is brought to you in partnership with Emmie Co, an incredible group of consultants leading the top brands in all things Marketing Operations. Check the mount at Emmieco.com
Chapters
1. Setting The Stage: Data-Drowned Marketing (00:00:00)
2. The Noise Problem In Martech (00:02:33)
3. Incentives, Gaming Metrics, And Attribution (00:05:38)
4. Common Sense, Explainability, And Trust (00:11:38)
5. Simpler Models, Better Questions (00:18:40)
6. Complexity As A Badge Of Honor (00:23:30)
7. Dashboards Versus Decisions (00:28:40)
8. Data Quality, Perfection, And Progress (00:34:10)
9. Bridging MOps And Demand Gen (00:39:50)
10. Practical Takeaways And Closing (00:44:50)
229 episodes
Manage episode 523285230 series 2986848
Text us your thoughts on the episode or the show!
In this episode of OpsCast, hosted by Michael Hartmann and powered by MarketingOps.com, we are joined by Nadia Davis, VP of Marketing, and Misha Salkinder, VP of Technical Delivery at CaliberMind. Together, they explore a challenge many Marketing Ops professionals face today: how to move from being data-driven to being data-informed.
Nadia and Misha share why teams often get lost in complexity, how overengineering analytics can disconnect data from business impact, and what it takes to bring context, clarity, and common sense back to measurement. The conversation dives into explainability, mentorship, and how data literacy can help rebuild trust between marketing, operations, and leadership.
In this episode, you will learn:
- Why “data-drowned” marketing ops is a growing problem
- How to connect analytics to real business outcomes
- The importance of explainability and fundamentals in data practices
- How to simplify metrics to drive alignment and action
This episode is perfect for marketing, RevOps, and analytics professionals who want to make data meaningful again and use it to guide smarter, more strategic decisions.
Episode Brought to You By MO Pros
The #1 Community for Marketing Operations Professionals
Ops Cast is brought to you in partnership with Emmie Co, an incredible group of consultants leading the top brands in all things Marketing Operations. Check the mount at Emmieco.com
Chapters
1. Setting The Stage: Data-Drowned Marketing (00:00:00)
2. The Noise Problem In Martech (00:02:33)
3. Incentives, Gaming Metrics, And Attribution (00:05:38)
4. Common Sense, Explainability, And Trust (00:11:38)
5. Simpler Models, Better Questions (00:18:40)
6. Complexity As A Badge Of Honor (00:23:30)
7. Dashboards Versus Decisions (00:28:40)
8. Data Quality, Perfection, And Progress (00:34:10)
9. Bridging MOps And Demand Gen (00:39:50)
10. Practical Takeaways And Closing (00:44:50)
229 episodes
All episodes
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