Uploaded March 2025 | Updated September 2026, 5 days ago
For decades, data teams have been chasing multiple ever-elusive Holy Grails. These end goals get talked about heavily, but it feels as if very few data teams have indeed seen them.
And if they have, it was always at some other job.
The data world has many of them. Some are real, some aren't, and many are used by marketing and sales teams to sell the dream. In fact, when I first came into the data world, Tableau was selling self-service analytics hard. Of course, being new to the world, it makes sense; if end-users can access their data, they'll ask you fewer questions, right?
Well…sort of.
But let's not get too deep into the actual meat of this article before barely even starting. In this article, I outline some of the key holy grails we are constantly chasing in the data world, what's often held them back, how some companies have succeeded, and where AI will likely play a role in some of these as well.
You can read the full article here
seattledataguy.substack.com/p/holy-grails-of-data-self-service
If you enjoyed this video, check out some of my other top videos.
What Is Snowflake - Breaking Down What Snowflake Is, How Snowflake Credits Work And More
youtu.be/GuM6dQGRFyQ
Building A Real Life Data Engineering Project With Healthcare Data - The Million Dollar Data Product
youtu.be/J7USfXwjOU0
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
seattledataguy.substack.com/
Or check out my blog
theseattledataguy.com
And if you want to support the channel, then you can become a paid member of my newsletter
seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
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Subscribe: youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1
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About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.
For decades, data teams have been chasing multiple ever-elusive Holy Grails. These end goals get talked about heavily, but it feels as if very few data teams have indeed seen them.
And if they have, it was always at some other job.
The data world has many of them. Some are real, some aren't, and many are used by marketing and sales teams to sell the dream. In fact, when I first came into the data world, Tableau was selling self-service analytics hard. Of course, being new to the world, it makes sense; if end-users can access their data, they'll ask you fewer questions, right?
Well…sort of.
But let's not get too deep into the actual meat of this article before barely even starting. In this article, I outline some of the key holy grails we are constantly chasing in the data world, what's often held them back, how some companies have succeeded, and where AI will likely play a role in some of these as well.
You can read the full article here
seattledataguy.substack.com/p/holy-grails-of-data-self-service
If you enjoyed this video, check out some of my other top videos.
What Is Snowflake - Breaking Down What Snowflake Is, How Snowflake Credits Work And More
youtu.be/GuM6dQGRFyQ
Building A Real Life Data Engineering Project With Healthcare Data - The Million Dollar Data Product
youtu.be/J7USfXwjOU0
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
seattledataguy.substack.com/
Or check out my blog
theseattledataguy.com
And if you want to support the channel, then you can become a paid member of my newsletter
seattledataguy.substack.com/subscribe
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
Subscribe: youtube.com/channel/UCmLGJ3VYBcfRaWbP6JLJcpA?sub_confirmation=1
_____________________________________________________________
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.
