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On this episode of Deconstructing Data, we welcome Chris Sell, Co-Founder of GrowthLoop and an expert on bringing marketing and data teams together to drive business growth.
Chris discusses the challenges of siloed data and the importance of building trust between marketing and data teams. He highlights the impact of fragmented data on marketing strategies and emphasizes the need for a unified data layer. This unified approach enables effective AI implementation and data-driven decision-making. Chris also advocates for a phased approach to building a first-party data plan. Finally, he explores the tools that can empower marketing and data teams to work more efficiently together.
Topics:
- Effective Teamwork Between Marketing and Data Teams
- What’s the True Impact of Siloed Data?
- Building Trust with Data: First-Party Data Plan
- Tech Stack
Tune in to learn the key steps your company can take to maximize revenue and accelerate growth by bringing data and marketing together.
Join us for an insightful conversation with Amanda Sherry, Director of Marketing at Western Computer.
Amanda discusses the importance of data-driven marketing, particularly in the Microsoft ecosystem. She highlights the challenges of attribution and the need for a holistic approach to marketing measurement. Amanda also shares insights on how her team at Western Computer leverages tools like Power BI, Uber Flip, and account intelligence to drive marketing success.
Topics:
1. Future Trends in Data Analytics and Marketing
2. Polarizing Beliefs in Marketing: The Power of SEO
3. Data-Driven Marketing in the Microsoft Space
4. Tech Stack
You'll come away with fresh ideas to improve your strategy, save money, and accomplish more with the data you already have.
Join us for an insightful conversation with Kamal🚀 Maheshwari , Co-Founder of Decube.
Kamal explains that data trust encompasses not just data quality, but also data discovery, governance, and observability, and he emphasizes the need for a unified platform that can address these various aspects of data trust. The conversation also touches on the challenges of data management, the rise of data marketplaces, and the importance of establishing data contracts and Kafka observability in the context of building trust in data.
Discussion Topics:
- Building Trust Through Data Quality: Modern Enterprises
- Solving Data Management Challenges: Unified Approach of Decube
- Trends in Streaming: Data Mesh, Data Contracts, and Kafka Observability
- Tech Stack
As enterprises strive to become more data-driven, trust in data quality is essential.
This week we welcome Jeremy Ryan Slate , CEO of Command Your Brand on Deconstructing Data.
If you want more listeners, less production headaches, and new revenue streams, you won't want to miss this episode!!
Jeremy covers strategies to fuel podcast growth on YouTube, the use of AI tools to streamline podcast production, and various monetization strategies for podcasts.
The key points include:
1. Focusing on YouTube as a platform for podcasts is crucial for discoverability and growth, with tips on optimizing titles, thumbnails, and viewer engagement.
2. Leveraging AI tools like Riverside FM, VidIQ, and Krisp.ai dramatically reduce podcast production time by automating editing, audio processing, and chapter creation.
3. Monetization strategies including traditional advertising (CPM model), affiliate marketing, and sponsorships, with the emphasis on building trust and providing value to the audience rather than solely focusing on revenue.
4. Jeremy also shares insights on his own experience with podcasting, book writing, and the importance of simplicity and predictability in podcast equipment and workflows.
This week we're thrilled to welcome Collin Graves, CEO of North Labs, to Deconstructing Data!
In this insightful discussion, we covered topics such as:
- The importance of having quality, trusted data as a foundation before trying to implement AI/ML tools
- Taking an incremental, value-driven approach to building a data program, starting with the biggest constraints/problems in the business
- Uniting data across silos in an organization to get a more complete picture and make better decisions
- Leveraging data and automation to drive growth and operational efficiencies
Don't miss this great conversation as Collin shares so many great analogies to help make tackling your toughest data problems make sense to everyone.
In this week's episode of Deconstructing Data, we welcome Bob Audet, Partner at Guidehouse, to discuss the rapidly evolving landscape of generative artificial intelligence in 2024.
We covered the importance of education to stay ahead of the AI curve, how AI can drive major productivity and efficiency gains, implementation challenges like ethical considerations and fast pace of change, as well as management struggles around governance to ensure AI systems are safe and aligned with regulations.
Topics:
1. Gen AI Adoption: Investment Risks Widening Disparities
2. Substantial Gains in Productivity, Automation, and Efficiency
3. Governance and Management Struggles with AI
4. Tech Stack
Join us for an eye-opening discussion on the opportunities and challenges presented by the emergence of generative AI in 2024.
On this episode of Deconstructing Data, we welcome Aaron Dix, Founder and CEO of BettrData.io.
Aaron shares his extensive experience working with marketing data and the challenges of ingesting, cleaning, and validating data from disparate sources. He explains how his company, BettrData, builds software to help streamline these processes so companies can organize and make sense of data.
We discussed the importance of data accuracy, especially when sources provide conflicting reports.
Topics: - Turning Raw Data into Valuable Insights: The Power and Practice of Data Enrichment
- Key Benefits and Real-World Applications of Data Enrichment
- Navigating the Future: Overcoming Challenges and Exploring Trends in Data Enrichment
- Tech Stack
With the right strategy and tools, raw data can be transformed into business breakthroughs.
Join us for an insightful discussion on data integrations with our special guest Taylor 🌹 Gobar, User Privacy Advocate and Mobile Marketing Growth Leader.
Taylor shared her deep expertise in mobile marketing, gained from 14 years in the industry. She provided thoughtful perspectives on dealing with reduced targeting capabilities and loss of control due to changes in mobile tracking policies. We also discussed the importance of cross-functional collaboration and comprehensive documentation when building data models to avoid issues down the road.
Topics:
- Maximizing Mobile Marketing: UA Data Potential
- Data Models: Effective Conventions and Integrations
- Data Latency Effects on CRM Campaigns
- Tech Stack
We're thrilled to welcome Paul Boynton, Co-Founder of Company Search Incorporated, to Deconstructing Data.
Paul discusses how his company provides in-depth global business intelligence from thousands of data sources. We covered topics like data enrichment, supply chain analysis, and the importance of local partnerships for gaining insights that static data lacks.
Topics:
1. Sourcing Data: Obtaining Information Categories
2. Enriching Data: Industry and Research
3. Trade Data Usage: Relevance and Compatibility
4. Tech Stack
If you want to decode the trends, challenges, and opportunities in your niche, you won't want to miss this episode.
This week we welcome Pat LaCroix, Executive Vice President at Seekr Technologies.
We discussed Seeker's approach to developing reliable and transparent AI models by training them on verified data that aligns with principles like journalistic standards.
We talked about the problem of misinformation spreading due to models being trained on inaccurate data from popular yet unreliable sources, and how Seeker's methodology can help address this issue and expand opportunities for ethical advertising and publishing.
Topics:
- Government Grade AI: Software and Technology
- Podcast Sponsorships: Brand Alignment Before Promotion
- Podcast Evaluation: Assessing Podcasts for Brand Suitability
- Tech Stack
What metrics indicate a podcast's value for potential brand partners?
Come and learn insights from this episode.
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