The Data Journey Manifesto – Read The 22 Principles
After working for years with many data analytic teams using different technologies, we’ve come to believe that reducing errors and defects in the insight production process is the key to success. We’ve been shamed and blamed by our customers for problems with the data we did not cause, trapped with existing data processes we don’t understand, and sat in dread every morning, waiting for something to break in our data, reports, models, or other customer deliverables. We are tired of the stress and wasted productivity needed to find problems deep within the system. We want a method that enables us to observe our data’s complicated paths to avoid problems and errors, and customer frustration. Define and Know What Should Be: At any time, in data analytic systems, know what should be, what is, and the exact difference between the two. Make Hope Infrequent: Hoping your data systems work in production is not a strategy. It’s a recipe for failure. Customers Finding Problems Is Not OK: Cust
The Data Journey Manifesto — 22 Principles — The Data Journey Manifesto After working for years with many data analytic teams using different technologies, we’ve come to believe that reducing errors and defects in the insight production process is the key to success. We’ve been shamed and blamed by our customers for problems with the data we did not cause, trapped with existing data processes we don’t understand, and sat in dread every morning, waiting for something to break in our data, reports, models, or other customer deliverables. We are tired of the stress and wasted productivity needed
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