Changing The Business landscape SAS and Open Source, Better Together. Dr Mark Chia, Head of Advanced Analytics, SAS

Transcription

1 Changing The Business landscape SAS and Open Source, Better Together Dr Mark Chia, Head of Advanced Analytics, SAS

2 Agenda Introduction SAS Initiative for Open Source Demo Q & A

3 Introduction

4 The analytics economy

5 Enterprise platforms Operational Platform Analytics Platform Productivity Platform F i n a n c e M R P E R P S u p p l y C h a i n CRM HR

6 Consistent quality SLAs Model inventory & management Asset governance Open Source Communities Teaching Right-time Analytics deployment Content silos Scaling up Collaboration Automation

7 SAS Initiative for Open Source When

8 Open ecosystem When do you need an open ecosystem? Want to access and analyze massive amounts of unstructured data (audio, text, video etc) to detect the unknown fraudulent behaviour? Need to build and manage a lightweight and fast environment to enable many users in the organization easily and efficiently? Have a team of people with diverse skillsets and want to provide them the right environment to work collaboratively?

9 Open Software platform strategy Creates new markets and is innovative Service based approach Encourages interoperability Embraces standards Considered the next wave of software adoption The Market Open vs open source Open Source Collaborative software development No initial cost All projects published and shared in open communities Over 14 million users of GitHub, the open source projects repository

10 Evolution of the analytics market Big Data Economics Relational Databases / ERPs Data Warehouse Appliances Hadoop / Open Ecosystem

11 SAS Initiative for Open Source What

12 We Embrace and Extend Supporting and Open Ecosystem SAS EMBRACE open source by making it a part of our own software and application development EXTEND open source by improving its interoperability and utility for the enterprise

13 The SAS Platform Engineered to maximize impact from your data 1 Supports Diversity 2 Enables Scale 3 Empowers Trust

14 The SAS Platform

15 DEPLOY & MONITOR ENABLING THE ENTIRE ANALYTICS LIFECYCLE AROUND OPEN SOURCE MANAGE DATA TEXT EXPLORE DATA Deep integration with Hadoop Extending open source analytics with Python, R and Java integration and also Lua Extending Spark with data quality functions run inmemory Supporting open source infrastructures: Container, CloudFoundry, OpenStack DEVELOP MODELS

16 SAS Initiative for Open Source How

17 Coexist for an Open Ecosystem Do you need to enable more users? SAS enables a wide spectrum of users with different profiles to run analytics- from business analysts to data scientists. SAS provides a self-serving in-memory environment to find the insight in big data instantly. SAS enables business users to access Hadoop and execute analysis in Hadoop easily. With the strong integration, Hadoop becomes just another database for business users.

18 Coexist for an open ecosystem Do you need to Operationalise your open source analytics? 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 SAS is uniquely positioned with its integrated platform, supporting the entire analytical life cycle Access the insight from analytics easily and quickly and take decisions at scale Transform and Deploy Open Source code instantly for indatabase scoring * Supported R Models are automatically transformed into PMML (Predictive Modelling Mark-up Language)

19 Coexist for an open ecosystem Do you need the flexibility to build a new open ecosystem in a container? Running SAS inside Hadoop against all your data

20 SAS Initiative for Open Source Why

21 Munich Re Insurance A wide range of Munich Re business units and specialist departments use the global big data analytics platform from SAS for text analysis, forecasts, simulations, and pattern recognition. The analyses are carried out in SAP HANA or on the open source framework Hadoop. Integrate SAS, Hadoop and HANA sources with SAS Data Management. SAS Solution for Hadoop mitigates the Hadoop skills gap and moves data onto Hadoop for unstructured text analysis with SAS Text Analytics solution. More accurate pricing and loss reserving. Deployment of over 200 models across 80 countries worldwide. Ease of use and deployment With these new technologies, we are considerably enhancing our global ability to combine our customers data with our own findings and expert knowledge. CEO Munich Re

22 North American Telco Service Provider This US-based organization uses SAS and open source for analysis based upon the skill set of the personnel, as well as the business need and the resources available. SAS has the proven scalability, reliability and performance that are required for analysing high volume data. Open source is generally used for data sets not controlled by the corporate data security rules and regulations. Open source gives analysts the flexibility to do ad-hoc analysis outside of standard IT policies, while SAS provides the predictability and security that corporate governance requires. Scalability and Governance The proven capability, security and the continuity of SAS is its strength within our organization. Open source definitely has its place, and will continue to work in tandem with our SAS implementation. Principal Anlayst, Business Systems

23 A Major International Bank The customer wants to reduce costs by using Hadoop to its maximum capabilities. They want to access exceptionally large data, provide an easy user interface for all employees to utilize analytics. Saves over $125 million by consolidating the IT infrastructure to a new Hadoop environment. Provides a consistent management information interface in order to provide executives with simulated impacts and other real-time analytic insights on customer data. Provides data governance, lineage and standard IT processes for regulations. Improves efficiency of the analysts, gains by percent Speed and Breadth 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 dataagnostic, 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

24 Demo SAS and Open Source

25 Jupyter Notebook Demo

26 Q & A