33 Tangents

33 Sticks
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33 Tangents is a podcast that covers a wide range of topics from digital analytics to business and technology to remote work.

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    #304 - What Can Digital Analytics Learn From Industries That Try To Be Everything To Everyone?

    We’ve all experienced this kind of scenario.  A new company arrives on the market with a product that is highly functional and meets our needs phenomenally.  The product is well designed and is of high quality.  The care and focus of the manufacturer is obvious.  The company gains a good foothold in the market, then decides to start adding more to it’s product line, and the focus starts to get lost.  The company moves beyond it’s core business and quality drops.   What can digital analytics learn from this?  Why does is it always perceived as a negative for a company to want to focus on it’s core business?  What is the core business of digital analytics and what are some of the ways digital analytics strays from this?   On this week’s episode of the 33 Tangents podcast, Jason and Jim discuss what it means for an analytics team to have a clearly defined purpose and how easily they can be distracted with less valuable items without one.  They also talk about the key things internal customers what from an analytics team and what distracts those internal customers from getting value.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٢٧ من الدقائق

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    #303 - What Role Does The Concept Of Sustainable Analytics Have In Making Digital Analytics Indispensable To A Business?

    We talk regularly, both internally and externally, about the concept of Sustainable Analytics.  This is the practice of running your digital analytics program so that it focuses on providing value and support the key areas of the business while ensuring it is maintainable and accurate.   When looking at Sustainable Analytics, how can it help a digital analytics program be indispensable to a business?  Wouldn’t doing less, not tracking everything for example, make a digital analytics program less valuable to a business?   On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why having too many choices makes most organizations today are data rich and insight poor.  They also detail the typical things analytics practices do that diminish the value of what they provide to an organization rather than increase it.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٣١ من الدقائق

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    #302 - What Is Preventing Digital Analytics From Becoming Indispensable?

    On last week’s episode we talked about the concept of businesses that can be seen as boring, but are very profitable.  One of the key things with those businesses is that they are indispensable to their customers.   Over the years we’ve talked about the struggles with digital analytics, and while there has been progress, it’s still not seen as indispensable to a business.  Why is that?  What does it mean for something to be indispensable?  What does a digital analytics team need to do to be indispensable to a business?   On this week’s episode of the 33 Tangents podcast, Jim and Jason continue their conversation with the theme of “boring yet profitable” businesses focusing on being integral to customer’s lives and digital analytics practices.  They discuss behaviors within analytics practices that often prevent those teams from being seen critical to the success of the business and how to remedy that.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٣٦ من الدقائق

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    #301 - What Does It Mean To Be Boring Yet Profitable?

    What comes to mind when the term “boring yet profitable business” is used?  Often times these are businesses that have developed & refined offerings that are integral and indispensable to their customers.  They can often be derided for not being flashy or trendy, but that treatment fair?   What goes into reaching that kind of status?  Are businesses actively thinking about reaching that point?  What can prevent a business from reaching that?   On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why the term “boring yet profitable business” is often not a compliment and why it’s used.  They also talk about the characteristics common across these types of businesses and drives a business to reach this state.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٣٢ من الدقائق

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    #300 - Developing A Testing Roadmap

    We’re currently doing a series of episodes looking at the concepts of getting back to basics and simplicity.  We’re looking at the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.   When working with a testing tool, it’s easy to get lost in the excitement of all of the possibilities.  Those possibilities though may never materialize if proper planning doesn’t happen.   Looking through the lens of getting back to basics and simplicity, why is a testing roadmap critical to the success of a testing and optimization program?  What are the key inputs for a testing roadmap?  What happens if this key component is ignored?   On this week’s episode of the 33 Tangents podcast, Jason and Jim welcome Jason Boal, 33 Sticks’ Optimization Strategist to talk about one of the key foundational concepts for a successful optimization program.  This discuss what goes into developing a testing roadmap, how to include business objectives, and what happens when a testing roadmap becomes neglected.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٣٩ من الدقائق

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    #299 - The Core Analysis Your Analytics Practice Must Be Doing

    In recent episodes we’ve looked at the concept of getting back to basics and simplicity.  We’ve discussed the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.   When a large amount of data is collected, it is easy to get lost in all of the possible analysis that can be done.  While it can be fun to search out insights, are there certain analyses that are core to a successful analytics program?  Are there ones that should not be overlooked even though they may not be as appealing?   On this week’s episode of the 33 Tangents podcast, Jim and Jason discuss why it is critical to remember that you need “crawl before you walk and run” and how to address outside pressure to move faster than the practice is able to handle.  They also discuss the influences that can cause an organization to forget the basics.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٣٠ من الدقائق

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    #298 - Tag Management Methodologies

    We’ve started a series of episodes about getting back to basics and the value of simplicity.  We’re looking at the benefits of refocusing attention on the key concepts and practices that can get overlooked or forgotten as analytics and testing programs age.     What are the best practices when it comes to designing a tag management architecture?  What needs to be considered when deciding on a TMS approach?  Is there a TMS methodology that provides the best approach?    On this week’s episode of the 33 Tangents podcast Jason and Jim are once again joined by Jenn Kunz to continue the conversation around the draw of over-engineering data collection solutions, this time with a focus on tag managers.    THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

    ٤٠ من الدقائق

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    #297 - The Draw Of Over-Engineering Analytics Data Collection Solutions

    A new implementation can be exciting!  It’s a fresh canvas to work with.  A new client can present opportunities to try out ideas you’ve only thought of.  These are just two of the scenarios that analytics implementation engineers are presented with that create the pull to collect all of the data.     While this can be fun, exciting, and provide unique sets of data, there are problems that can result from an over-engineered analytics data collection solution.  Problems such as: Many times the solution designer has ideas for novel data that the analytics team doesn’t find useful so there is data going unused.   Development time that could have been spent on other more useful work has been wasted.   The team now has a complex solution that requires more maintenance than it should.   How can engineers and architects resist the urge to “tag everything”?  What are steps that analytics teams can put in place to ensure the implementation work is focused on what is truly needed and valuable?   On this week’s episode of the 33 Tangents podcast, Jim and Jenn discuss their history with implementing analytics solutions and how they’ve fallen into this trap before.  They talk through their thoughts on a less is more approach and how that applies to the current state of the digital analytics & martech space.   THANK YOU We know your time is limited, so it means a lot to us that you would spend some of your time with us. If you have found this episode to be valuable, we would appreciate if you would share it.   And if we are getting you hooked, don’t forget to subscribe, like, and recommend on your favorite podcast platform.   WHERE TO LISTEN The 33 Tangents video simulcast is now available on YouTube Subscribe on Apple Podcasts Subscribe on Google Podcasts Listen on TuneIn Listen on Amazon Music   WHERE TO FIND US Website: www.33sticks.com Email: Podcast@33sticks.com Twitter: https://twitter.com/33Sticks Facebook: https://www.facebook.com/33sticks/ YouTube: https://www.youtube.com/channel/UC8KUpp_LygXotCrKgR9ZoBg

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33 Tangents is a podcast that covers a wide range of topics from digital analytics to business and technology to remote work.

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