Silly Bandz, Jibbitz, & Copernicus: Driving Innovation Through Analytics Bill Franks, Chief Analytics Officer, Global SAS Program, Teradata Kyle Cheek, Vice President, Emdeon April 2011
Aug 25, 2020
Silly Bandz, Jibbitz, & Copernicus:
Driving Innovation Through Analytics
Bill Franks, Chief Analytics Officer, Global SAS Program, Teradata Kyle Cheek, Vice President, Emdeon April 2011
2 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Silly Bandz, Jibbitz, & Copernicus
Copernicus
Jibbitz
Silly Bandz
3 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Rise Of Crocs & Jibbitz…
Crocs
Holes
Jibbitz
$20MM!!!!!
4 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Do You Have A Culture Of Innovation & Discovery?
5 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Three Key Principles
On your journey to a culture of innovation and discovery you must:
1) Break Out Of Your Box
2) Ride The Ripple Effects
3) Align All Eyes On The Target
6 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Let’s Talk About Fleas…
7 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Principal #1: Break Out Of Your Box
8 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Copernicus…
Geocentric Heliocentric
9 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
What Is The Center Of Your Solar System?
Tool Centric People Centric
10 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
0``0``
Break Out Of Your Box With In-Database Analytics!
0
10
20
30
40
50
Time
Elapsed
In Database Out Of Database
40X, 50X, 100X Faster!!
11 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Break Out Of Your Box With In-Database Analytics!
Do You Want Your Team Driving This??? Or This???
12 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Principal #2: Ride The Ripple Effects
Innovation To The Power Of 2!
13 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Telephones & Phone Lines…
14 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Internet Led To Ripple Effects…
“Now that I do know what Facebook is, I have to say it sounds like a HUGE waste of time!”
- Betty White on Saturday Night Live 2010
Social Networking
E-Commerce
15 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Internet Led To Ripple Effects…
Geo-Spatial Capabilities
Massive Multi-Player
Games
What’s Next?????
16 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Ride Ripple Effects Of In-Database Analytics!
17 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Innovation: Making Sense of the Data Deluge
Web 2.0, healthcare, telco, other “digital” industries are driving an explosion in volumes of data
In recent memory, information scarcity posed the biggest challenge to decision-making
Today, optimal decision paths are a “needle in a haystack” problem as data volumes outpace the growth of analytic capacity
18 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Data Proliferation Over Time
0 C.E.
2003
40,000 BCE cave paintings
bone tools 3500 writing
paper 105 1450
printing 1870
electricity, telephone transistor 1947 computing 1950
1993 The Web
Digital Cardiology
Electronic Medical Record
E-Health Initiatives/Linkages
Digital Radiology
1999
Late 1960s Internet
P e
t a b
y t e
s
More Data Over the Last
3 Years Than Previous
40,000 years Combined
Digital Pathology
Genomics
Source: UC Berkeley, School of Information Management and Systems.
19 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
How Much Digital Data Exists?
20 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Is There Such a Thing as Too Much Data?
Barriers to Innovation Posed by Massive Data Volumes
> Vertically massive data
Storage – Current data volumes outpace storage capacity
Can we analyze what we can’t store?
> Horizontally massive data (“Curse of Dimensionality”)
Horizontal data growth presents unique inference problems
What inputs are really related to which outputs?
21 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Healthcare Data Conundrum
We have exponentially more data than ever before about medical experience, outcomes, gaps in care, and reimbursement
> But we are more susceptible than ever to lapses in care coordination, health care fraud, etc ..
This is true across all aspects of healthcare
> The clinical space and the revenue cycle space are equally impacted
> Many inefficiencies in healthcare are due to disintegrated data and its barrier to innovation
22 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Healthcare Data Conundrum
Why Does Healthcare Data Pose a Barrier to Innovation?
> Massive volumes
> Not structured (most new medical data is unstructured)
> Not conformed
> Not consistent
= Not Very Easy to Exploit for improved Outcomes/Effectiveness/Efficiencies!!
23 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
23
Summary of Current State
24 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
There Are Paths Through the Data Deluge!
Data Warehousing
Cloud Computing
Advanced Analytics
In-Database Execution of Analytics
25 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Just What Are In-Database Analytics?
An analytics lexicon:
>Two main categories of “analysis”
Rational – what we can understand through reason alone
Empirical – what we an understand through observation
26 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Areas of Focus for In-Database Analytics
Database-driven analysis (empirical)
Heuristic
– Apply intuition to data
– Reports, OLAP cubes, etc
– Already pretty well established
27 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Areas of Focus for In-Database Analytics
Database-driven analysis (empirical)
Complex
– Adhere to a more rigid criteria for inference
– Traditional statistics, machine learning, etc
– *This* is the area of greatest innovative potential
» Deeper analysis
» More quickly and effectively deployed
28 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
28
Why Bother?
29 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Principal #3: Align All Eyes On The Target
Set a common vision
Establish clear priorities
Tie to incentives
30 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Define A Common Vision…
Making A Wall? Or Building A House?
31 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Your Team Needs The Full Picture…
Looks Like We’ve Got A Cowboy! Or Do We???
32 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Your Choice Of Priorities Changes Your Outcome…
Highest Revenue
Highest Margins
Most Customers
Most Loyal Customers
Your Choice?
33 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Restaurant…
Free
Time ----->
Lo
yal
Cu
sto
mer
Co
un
t
34 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Compensation Impacts Action…
35 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Align All Eyes On The Target Of In-Database Analytics
Establish clear priorities for
how to get there
Set a common vision around making in-database analytics
happen
Tie pay to making it happen
36 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Review Of The Three Key Principles
On your journey to a culture of innovation and discovery you must:
1) Break Out Of Your Box
3) Align All Eyes On The Target
2) Ride The Ripple Effects
37 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Netflix…
38 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
The Netflix Prize…
39 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Take Action!
What can you each do to create a culture of innovation and discovery within your organization?
40 Copyright 2011. Proprietary and Confidential to Teradata. Do not distribute without permission.
Thank You
Silly Bandz, Jibbitz, & Copernicus:
Driving Innovation Through Analytics
Bill Franks Kyle Cheek [email protected] [email protected]