Forward Tech Conference: The Analytics Revolution

• 1. The Analytics Revolution
  Justin Beck
  CEO PerBlue
  

2. 3. 4. Metrics of Success
5. What is a Business Metric?
6. Metric = Measurement
7. What get measured gets managed.-Peter Drucker
8. What is managed becomes successful.-Justin Beck
9. Talent Specialization
Context of the World
10. First commerce (shops/trading)
11. Industrial Age (factories)
12. Marketing and mass communication
13. Large companies and managed processes
14. 2007
2000
1986
1993
2007
Information Transformation
15. Whats next: The Analytics Revolution
16. So how do you do this?
17. You have to start with questions.
18. 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?
19. The Young Budding CEO
20. 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. Dont lose it. (it will be your greatest asset)
21. WTF is SQL???
Select * from Users where gender =male
SQL is the language of analytics!
22. 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 meaningHighlight important results, write notes to make sure you remember how to read it.
23. What you will learn?
24. Find the really important metrics
25. PerBlues analytics infrastructure has grown
26. Setup dashboards with fancy tools, graphs, and maps
27. and eventually get a sweet looking command center.
28. Well, were getting there.
29. It starts with questions.
30. If you want to succeed
Measure
31. [email protected]
www.perblue.com
@PerBlue
32. 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?