An Enchanted World: SAS in an Open Ecosystem

Transcription

1 An Enchanted World: SAS in an Open Ecosystem Tuba Islam SAS Global Technology Practice C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

2 Diversity can bring power if there is collaboration C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

3 Wizard Programmer (noun.) A machine that turns coffee into code. C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

4 Motives for an individual vs Value for the organisation? Do not disturb! I am developing the most accurate model ever.. C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

5 Why we need a Collaborative Environment for Analytics? Open discussions Do you have enough wizards to solve all your problems? How do you manage the diversity of skills in your organisation? What do you need for actionable analytics? C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

6 Agenda SAS as an open platform How we bring different worlds together Use cases of open source and SAS integration Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

7 Agenda SAS as an open platform How we bring different worlds together Use cases of open source and SAS integration Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

8 WE ARE LIVING IN A DIFFERENT ERA PRODUCTS PRODUCTS + SERVICES CUSTOMER CENTRIC RELATIONSHIP CENTRIC 1970s 1990s 2000s Today

9 IN THE LAST 15 YEARS, 52% OF THE FORTUNE 500 HAVE GONE

10 HOW DID SAS REMAIN RELEVANT FOR THE LAST 40 YEARS?

11 EVOLUTION OF ANALYTICS MARKET AND SAS OPEN TIMELINE Big Data Economics Relational Databases / ERPs Data Warehouse Appliances Hadoop / Open Ecosystem C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

12 BEING MORE OPEN: SAS Communities, SAS on GitHub Share of Knowledge and Instant Access to Information Free access to SAS Software for Students, for Enthusiastic Learners SAS On Demand for Academics C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

13 Increasing the OPENNESS of the SAS PLATFORM : SAS Viya Visual Interfaces Programming Interfaces Future Plans: API Interfaces C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

14 SAS as an open platform How we bring different worlds together Use cases of open source and SAS integration Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

15 SAS as an Integrated Open Platform Interoperability Scalability Flexibility Discovery Data Deployment C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

16 SAS as an Integrated Open Platform How to bring different worlds together: DATA For a data scientist Hadoop is just another database Joint development and deep integration Cloudera and Hortonworks R&D SAS R&D No learning curve for end users Validated and tested C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

17 An Integrated Open Platform How to bring different worlds together: DISCOVERY Utilise all resources available Access to reusable and advanced SAS data preparation tasks Prototype rapidly and experiment new open source methods for benchmarking Compare all models and chose the champion automatically Generate the score code for production Use the language of choice via Open APIs C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

18 SAS as an Integrated Open Platform How to bring different worlds together: DEPLOYMENT Speed in time-to-intelligence Build, manage, monitor, retrain and deploy hundreds or even thousands of analytical models including open source One platform for all models and business rules for governance and lineage Execute operational decisions in batch, real time or in-database with no recoding C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

19 Copyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d. SAS as an open platform How we bring different worlds together Use cases of open source and SAS integration

20 Scenario 1 Operationalising R Models C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

21 THE ANALYTICS LIFECYCLE A Best Practice Open Journey Discovery Deployment Deployment SAS Data Transformation in Hadoop Build model in SAS and Open Source and select the champion Monitor model performance of SAS and Open Source Data Providing a unique platform supporting the entire analytical life cycle and operationalising open source Access the insight from analytics easily and quickly and take decisions at scale Transform and Deploy Open Source code instantly for indatabase or real time scoring C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

22 Performance Tracking and Automated Retraining Track models over time Automated retraining Sending automated alerts C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

23 Publishing Open Source Models in Database Publishing open source models to a database for in-database scoring Fully automated and parametrised process to run scores with no data movement and no dependency on IT resources for re-execution in SECONDS instead of HOURS. C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.

24 Scenario 2 Image Processing Using SAS and Python in Jupyter Notebook C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

25 Python is an interpreted, object-oriented, high-level programming language with modular libraries that support data extraction and processing. The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. The notebook has support for over 40 languages including SAS and Python. C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

26 SAS on SAS kernel for Jupyter Notebook: SAS Cell Magic for Python: SAS Viya Open API for Python: C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

27 A Potential Business Application for Image Processing Severity analysis of car damage Biggest challenge for image processing : Quality of the data (as always) - Condition of the day (dark, bright) - Resolution of the image (blurred, zoomed in, out) - Angle of the capture (alignment, referencing) C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

28 Calling SAS Viya image processing actions from python C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

29 Customer Success Stories MUNICH RE INSURANCE A MAJOR INTERNATIONAL BANK NORTH AMERICAN TELCO SERVICE PROVIDER With these new technologies (Hadoop and SAS Text Analytics), we are considerably enhancing our global ability to combine our customers data with our own findings and expert knowledge. Chief Executive Officer SAS has outpaced any vendor in its speed and breadth in moving with us to open source, they have turned on a dime on delivering for us. SAS is data-agnostic, making analyzing data coming in from anywhere easy. Management can now visualize the results of analytics on our customer data in seconds. Chief Data Officer The proven capability, security and the continuity of SAS is its strength within our organization. Open source has its place, and will continue to work in tandem with our SAS implementation. Principal Analyst, Business Systems C o p y r i g h t , S A S I n s t i t u t e I n c. A l l r i g h t s r e s e r v e d.

30 An Enchanted World: SAS in an Open Ecosystem Quick Access to Wisdom Enabling more users Operationalising analytics Improved Productivity Freedom of choice of language Utilising all resources Collaborative environment Governance and Lineage Managing an enterprise ecosystem C o p y right , S A S I n s t it u t e I n c. A ll rights res erv ed.

31 Thank you for listening! Tuba Islam Global Technology Practice C opyr i g ht 2016, SAS Ins titut e Inc. All rights res er ve d.