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Family Man First

If you're interested in my work history, check out my Resume or my Projects pages. About me though: I'm a family man.  I have two wonderful kids, and an Amazing wife.  I work and live for them.

My story with data

I'm a data professional because I enjoy the field.  From a young age my hobbies had me organizing data, and my earliest jobs I always found ways to provide value to my employer with the organization and analysis of information. My first 'database' was in Cardfile, organizing my dad's record collection. Professionally I and teams I have led have developed data collection and deep analysis tools and systems for clients such as the Department of Water Resources, Pacific Gas & Electric, and the United States Department of Defence.

The Process of your Data Transformation

Your organization has likely evolved into having a whole lot of data, and no real good way to gain insights from it.  We've gained much in our ability to store data, and we have tons of it.  You may even have been sold into the 'data lake' concept... and not found any benefit.

Your data probably needs organization and cleaning.  You might have a data swamp.

Step One

Inventory

An inventory of your data should also identify processes that are creating data gaps.  These should be fixed in concurrence, and all opportunities to fill those gaps implemented.

Step Two

Extract, Transform, Load

Extract data from any source in your company, transform it to fit in a structured and normalized data warehouse, and load it to the warehouse.
Now our ETL process can include a preliminary step: Clean

Step Three

Analyze

From simple summaries to machine learning, your data holds insights to your business that will either catch you up to your competitors, or provide you with a competitive edge. Either way, you need it.