Domo, Inc. · NASDAQ:DOMO
Domo — Domopalooza 2020
21 slides from Domo's conference presentation, May 2020
Slide 1: Domopalooza Live and On-Demand
Slide 2: Welcome
WELCOME
Slide 3: Who Are We?
WHO ARE WE? David Brader Noah Erickson Director, Process Improvement Data Scientist Titan America LLC Titan America LLC 3
Slide 4: What We Learned…
WHAT WE LEARNED… Highway To The Danger Zone -the key to staying out of it… Mediators, Moderators and M2’s Oh My -when variables model differently than in the process world Making Data Science Meaningful In Real-Time 4
Slide 5: Ever Notice Everyone Is a Data Scientist?
EVER NOTICE EVERYONE IS A DATA SCIENTIST? And they almost invariably have the wrong perspective? - Like this one, the typical Senior Manager And Above: 5
Slide 6: CEO & E-Suite Perspective
CEO & E-SUITE PERSPECTIVE Data Science 6
Slide 7: Simple Right? …Just Get the Data…
SIMPLE RIGHT? …JUST GET THE DATA… 7
Slide 8: Still Getting the Data…
STILL GETTING THE DATA... Two words as in “very good?” ™ 5 Moetendimtertien Dave Well you'll have to fix it if it doesn’t work for you....| don’t have time...! have a department to run Bryan Dave
Slide 9: No Such Thing as Bad Data
NO SUCH THING AS BAD DATA, JUST OPPORTUNITIES FOR A LOT OF DATA CLEANING 9
Slide 10: Data Science – The Real Pyramid
DATA SCIENCE – THE REAL PYRAMID 10
Slide 11: Why Domo and Domo Data Science?
WHY DOMO AND DOMO DATA SCIENCE? Standard Playbook Each Step Is Somewhat Automated Within It’s Function But Often Manually Transported Through To The Next Stage Data Analytics Visualize Preparation (ML) But Being Forward Looking, and In Order To Ensure Proper Human Capital Consumption (i.e. lazy) Our
Slide 12: Data Science Consumption as a Continuous Operating Process
DATA SCIENCE CONSUMPTION AS A CONTINUOUS OPERATING PROCESS Near Real Data Time Process Acquisition Parameter and At Present Within DOMO: Manipulation Preparation Ø >100 Data Sources Every Step Happens Ø 20,300 Unique Columns Automatically VISUALIZATION As New Data Is Ø >381 M Rows High Level Low Lev
Slide 13: We Wanted to Be Able to Rapidly Deploy That Model
WE WANTED TO BE ABLE TO RAPIDLY DEPLOY THAT MODEL So We Teamed Up With DOMO Data Science – We just needed them to show us how to use the R and Python Tiles in DOMO… But They Made Us Do All This Other Work – Data Glossary and Definition Sheets – Give Them Process Flow Charts (Actual Process Not Data
Slide 14: …Then, a Weekend Gets Ruined…
…THEN, A WEEKEND GETS RUINED… 14
Slide 15: Show Me… the Fundamental Theoretical Relationship
SHOW ME…. Turns Out They Really Read That 300+ Page Dissertation I Sent Them! – We Were Here THE FUNDAMENTAL THEORETICAL RELATIONSHIP BETWEEN THE PRIMARY PREDICTIVE FEATURE AND THE VALUE WE WERE TRYING TO PREDICT WAS NOT PRESENT IN OUR DATA!?! 15
Slide 16: Noah (& Tony) Got Back to Work…
NOAH (& TONY) GOT BACK TO WORK…. Expanded Dataset To Encompass More Variation And Proper Relationships And…. Last Version Of Modeling Gave Us A 33% Improvement In The Baseline R2 From Historical Modeling In The Literature! 16
Slide 17: Success!....?
SUCCESS!....? But, we had an inline model that outperforms those in the literature, why maybe? Remember we wanted something that would be inline and near real time, turns out the DOMO Datascience Process showed us something very different… 17
Slide 18: We Weren't Ready for the Real World…
WE WEREN’T READY FOR THE REAL WORLD… The bulk of the features that were significant in predicting the target value, are ones that we currently ONLY GET AT THE SAME TIME as the value we wanted to predict, which is 2 days after the actual processing WE NEED NEW MEANS BY WHICH TO GET THE NECESSARY DATA
Slide 19: Now for a Look Under the Hood…
NOW FOR A LOOK UNDER THE HOOD…. 19
Slide 20: Lessons Learned
LESSONS LEARNED The Process Will Set You Free – Or At Least Keep You Out Of Trouble Be Prepared For Features & Variables That Will Behave Far Differently In A Real World Operating Process Than They Do In Controlled Situations Institutionalizing Your Solutions Requires Them To Operate At The Same Fre
Slide 21: Thank You
THANK YOU