prescriptive analytics - sas · specific big data analytics challenges •model scoring takes...
TRANSCRIPT
![Page 1: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/1.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Prescriptive Analytics
Prescribing Faster and More Accurate Decisions
![Page 2: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/2.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Agenda
• Value of prescriptive analytics
• Building prescriptive analytics• The business of business rules
• Analytic inventories
• In database performance gains
• Deployment and operationalization
• Prescriptive analytics for the Internet of Things (IoT)
![Page 3: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/3.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Why do analytics?
“takes data not guesswork”
James Taylor, IIA presentation, June 23rd, 2016
IIA poll, June 23rd, 2016
![Page 4: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/4.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Intent without execution
James Taylor, IIA presentation, June 23rd, 2016
![Page 5: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/5.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Prescriptive analytics drive value that is…
• Consistent – explicit, traceable• Accurate – valid, flexible• Relevant – managed, timely• Scalable – independent, portable
![Page 6: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/6.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Specific Big Data Analytics Challenges
• Model Scoring takes significantly too long
• We spend too much time doing data prep
• Data discover is taking too long because of the volume of data
• Prioritizing which groups to support
![Page 7: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/7.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Value of Prescriptive Analytics
![Page 8: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/8.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Decision Agility
![Page 9: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/9.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Building Prescriptive Analytics
![Page 10: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/10.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Business Rules
Relationships• Simple Rule Flow
• Construct Rules as Rule Sets
• Rule Sets Ordered in Rule Flows
• Rule Flows Published and Managed
Rule 2Rule 3…
Rule Set A
Rule 1Rule 2
Rule 3…
Rule Set B
Rule Flow
Rule 1Rule 2
Rule 3…
Rule Set C…
Vocabulary(Entities,Terms)
A Rule Flow is a
collection of Rule Sets. Execution is defined by
order of Rule Sets.
Rule Set action values are available in
subsequent Rule Sets in the same Rule Flow.
Rule 1
Rule 1Rule 2
Rule 3…
Rule Set B
![Page 11: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/11.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
SAS® Business Rules Manager• Support across lifecycle
• Rule Authoring/Discovery
• Rule Testing• Design, Test, Design some more..
• Rule Publishing• Teradata, Hadoop, …
• Services
Vocabulary
Rule
Management
Business
Rules Repository
Rule Flow
Publishing
In Database + Hadoop
Rule Author
Rule
Flow Testing
![Page 12: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/12.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Why formally manage business rules?
Formalize business processes
Rapid development & deployment
Governance & compliance
Reuse assets & deploy anywhere
Capture in-depth testing
Increase business agility
Secure authorization
![Page 13: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/13.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Analytic Inventories: SAS® Model Manager
![Page 14: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/14.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
!!!???!!!
The ‘IT’ folks The ‘Analytics’ folks
I just built 850 new models. When can you
put them into production?
![Page 15: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/15.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Building Prescriptive Analytics
Decisions for:- Batch processes- Web services
![Page 16: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/16.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Results from Prescriptive Analytics
• Consistent to scenarios
• Analytically sound
• Traceable
• Designed for automation
Streamline deployment
Increase productivity
Increase Confidence
Value and efficiency for the organization
![Page 17: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/17.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Additional Reading
![Page 18: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/18.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
• Internet of People is mainstream
• In < 20 years, we’ll each communicate with 5,000 ‘things’1
• B2B uses could generate up to 70% of potential value enabled by IoT2
• More than 5.5 million new things are connected every day
1 As projected by Dr. John Barrett, Head of Academic Studies, Cork Institute of Technology, Oct. 20122 M. Mendoza, $11 Trillion: Potential Economic Impact Of Internet Of Things By 2025, TechTimes, July, 2015
The IoT
![Page 19: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/19.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Prescriptive Analytics for the IoT
AnalyticsDATAB I G
IOT High Velocity
Complex
Large
New Business Models
Quality of Life
Early Warnings
Efficiencies
New
Value
Act
Understand ActSense
![Page 20: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/20.jpg)
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Questions?
![Page 21: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/21.jpg)
#analyticsx
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
Conclusions• Be more responsive, proactive and reliant on data-
driven operational decisions for new opportunities.
• Improve performance and minimize time previously spent moving or duplicating data and code between systems.
• Increase security and compliance of data in one integrated, highly governed environment.
• Be consistent & automate
![Page 22: Prescriptive Analytics - SAS · Specific Big Data Analytics Challenges •Model Scoring takes significantly too long •We spend too much time doing data prep •Data discover is](https://reader033.vdocument.in/reader033/viewer/2022060213/5f0562247e708231d412b086/html5/thumbnails/22.jpg)
C o p y r ig ht © 201 6, SAS In st i tute In c. A l l r ig hts r ese rve d.
#analyticsx