Some Goodness is hosted by Richard Ellis, a seasoned sales leader passionate about inviting top business minds to share their wisdom. Each episode is only 15-20 minutes, perfect for your commute or workout.
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Why Most Reporting Systems Fail, & What to Do Instead, With Ben Zittlau
MP3•Episode home
Manage episode 466243765 series 2820836
Content provided by Marcel Petitpas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marcel Petitpas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Points of Interest
- 01:00 – 01:45 – Guest Introduction: Marcel welcomes back his co-founder, Ben Zittlau, highlighting his expertise in data operations and agency growth strategies.
- 03:35 – 05:50 – Scaling Data Operations: Lessons from Jobber: Ben shares insights from his experience at Jobber, detailing the challenges of building and scaling a data operations team in a fast-growing company.
- 08:43 – 13:14 – Why Agencies Struggle to Get Insights from Their Data: Discussion on how agencies collect vast amounts of data across multiple tools but fail to derive meaningful insights due to fragmentation and inconsistency.
- 13:15 – 16:05 – The Myth of a “Single Source of Truth: Marcel and Ben challenge the common belief that pushing all data into a single platform solves reporting issues, highlighting the reality of messy operational data.
- 19:26 – 21:48 – The Limitations of All-in-One Software Solutions: Exploring why all-in-one agency management tools often fail to deliver on their promise of seamless reporting and data integration.
- 24:43 – 27:44 – The Hidden Costs of Locking into a Single Platform: Discussion on how agencies become “trapped” by software providers, making it difficult to switch tools without major operational disruptions.
- 30:29 – 35:53 – How to Integrate Data Without Sacrificing Flexibility: A deep dive into the challenges of stitching data from various tools while maintaining adaptability and historical accuracy.
- 35:54 – 41:14 – Accuracy vs. Precision: Why Clean Data is a Myth: Why agencies should focus on broader trends instead of pursuing impossible data perfection, and how to handle data inconsistencies effectively.
- 41:15 – 44:15 – A Modern Data Approach: Extract, Transform, Load (ETL): Introduction to the ETL process, which allows agencies to clean and transform data before reporting, improving reliability and flexibility.
- 50:14 – 52:00 – Lessons from Finance: What Agencies Can Learn from Accounting: Marcel compares data operations to bookkeeping, explaining how structured financial workflows can serve as a model for better agency data management.
Show Notes
- Connect with Ben via LinkedIn
- Free Toolkit
- Parakeeto Foundations Course
Love the Podcast
Leave us a review here.
178 episodes
MP3•Episode home
Manage episode 466243765 series 2820836
Content provided by Marcel Petitpas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Marcel Petitpas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Points of Interest
- 01:00 – 01:45 – Guest Introduction: Marcel welcomes back his co-founder, Ben Zittlau, highlighting his expertise in data operations and agency growth strategies.
- 03:35 – 05:50 – Scaling Data Operations: Lessons from Jobber: Ben shares insights from his experience at Jobber, detailing the challenges of building and scaling a data operations team in a fast-growing company.
- 08:43 – 13:14 – Why Agencies Struggle to Get Insights from Their Data: Discussion on how agencies collect vast amounts of data across multiple tools but fail to derive meaningful insights due to fragmentation and inconsistency.
- 13:15 – 16:05 – The Myth of a “Single Source of Truth: Marcel and Ben challenge the common belief that pushing all data into a single platform solves reporting issues, highlighting the reality of messy operational data.
- 19:26 – 21:48 – The Limitations of All-in-One Software Solutions: Exploring why all-in-one agency management tools often fail to deliver on their promise of seamless reporting and data integration.
- 24:43 – 27:44 – The Hidden Costs of Locking into a Single Platform: Discussion on how agencies become “trapped” by software providers, making it difficult to switch tools without major operational disruptions.
- 30:29 – 35:53 – How to Integrate Data Without Sacrificing Flexibility: A deep dive into the challenges of stitching data from various tools while maintaining adaptability and historical accuracy.
- 35:54 – 41:14 – Accuracy vs. Precision: Why Clean Data is a Myth: Why agencies should focus on broader trends instead of pursuing impossible data perfection, and how to handle data inconsistencies effectively.
- 41:15 – 44:15 – A Modern Data Approach: Extract, Transform, Load (ETL): Introduction to the ETL process, which allows agencies to clean and transform data before reporting, improving reliability and flexibility.
- 50:14 – 52:00 – Lessons from Finance: What Agencies Can Learn from Accounting: Marcel compares data operations to bookkeeping, explaining how structured financial workflows can serve as a model for better agency data management.
Show Notes
- Connect with Ben via LinkedIn
- Free Toolkit
- Parakeeto Foundations Course
Love the Podcast
Leave us a review here.
178 episodes
All episodes
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