When Building Pipelines What Should You Consider

Tools and technology are just that.

🛠️ Tools.

They won’t actually drive any form of impact on their own.

They won’t develop processes that are connected to dashboards that in turn drive actions without people. Nor are the numbers they are creating going to magically jump off the screen and fix a business.

So before building any data pipeline it’s important to consider a few things.


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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.

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