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The Analytics Revolution Justin Beck CEO PerBlue
Metrics of Success
What is a Business Metric?
Metric = Measurement
“What get measured gets managed.”-Peter Drucker
“What is managed becomes successful.”-Justin Beck
Talent Specialization Context of the World
First commerce (shops/trading)
Industrial Age (factories)
Marketing and mass communication
Large companies and managed processes
2007 2000 1986 1993 2007 Information Transformation
What’s next: The Analytics Revolution
So how do you do this?
You have to start with questions.
How many of my customers actually buy something?  How much do they buy?  How often do they return? What are the demographics of my customers? What are my highest margin products? What are my highest revenue products?
The Young Budding CEO
Step 1. Collect the Data Do it as early as you can Have a process to collect the data systematically (Autonomous) Focus on knowing how accurate the data is Volume and consistency count Collect whatever you can think of and more Get it into SQL Back it up. Don’t lose it. (it will be your greatest asset)
WTF is SQL??? Select * from Users where gender =‘male’ SQL is the language of analytics!
Step 2. Release the Data! Prioritize your questions Important measurements should be first. 2)  	Grab the raw data Using SQL! Transform the data Do as much as you can with SQL, then do the rest with Excel. 4)	Summarize the data in a report 5)	 Annotate the report to give it meaning      Highlight important results, write notes to make sure you remember how to read it.
What you will learn?
Find the really important metrics
PerBlue’s analytics infrastructure has grown
Setup dashboards with fancy tools, graphs, and maps
… and eventually get a sweet looking command center.
Well, we’re getting there.
It starts with questions.
If you want to succeed Measure
justin@perblue.com www.perblue.com     @PerBlue
Core Business Metrics Total Revenue per year, month, day Number of full time employees?   Burn rate per month? Total number of customers?   Daily, weekly, monthly active customers? New customers per day?   Percent of customers that pay?   Average purchase amount?  Average retention of customers? (1 visit, 3 visits) Average Life Time Value of a customer?

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