Modernizing Analytics to Enhance Business

Efficiency

Sterling Green - VP Business

Intelligence Center of Excellence

Agenda

• Business Issue

• Decision to migrate

• Milestones and Challenges

• Benefits

• Lessons Learned

• What’s Next

CHANGEWhat is it good for?

Possibly most things…

Disruptive Allows the questioning of legacy beliefs and practices

Enabling Promotes new technologies and methods

Cost effective Improved ROI

Decision to Migrate

• SAS Foundation Technologies

• Enterprise Miner

• Enterprise Business Intelligence

• Enterprise Data Integration

• SAS Grid Manager

Solution

Decision to Migrate

Challenges

• Reduce Costs

• Audit / Regulatory

• Increase Flexibility

• Creation and Reuse of Analytic Datasets

• Personal Productivity

• Reliability Issues

• Increase Scalability

Hardware at Capacity

Hardware at End-of-Life

Decision to Migrate

• Scalable, Stable, Flexible, High-Available Platform

• Increased bandwidth for concurrent usage

• Reduce cycle time

• Model development to production

• Increased Productivity

• A true Analytic Center of Excellence (CoE)

Results

Roles, Services, and Functions of a CoE

The SAS CoE is dedicated to bringing the resources, capabilities, knowledge,

and technology together to enable the advancement of the enterprise use and

value of the SAS analytics capabilities.

Infrastructure

Support /

Administration

Monitoring

Technology

Roadmap

Capacity Planning

Configuration

Management

Technology

Access & Control Quality & ControlsChange

Management

Data Acquisition

Process

Backup &

Recovery

Repository

Topology

Best Practices,

Standards,

Guidelines

Metadata

Management

SAS Operating

Council

Roles &

Responsibilities

Definition

Guidance

Stewardship

Core Support

Center

Of

Excellence

Objectives of the SAS CoE

• Create a sustainable, integrated, enterprise-wide SAS

environment

• Proactively drive the access to and reuse of information,

data, and analytic results across the enterprise

• Provide a conduit for the cross-pollination of knowledge data

and information across organizational boundaries

• Cultivate best practices

Phases of Establishment

• Define support model

• Hire SAS support staff

• Define roles and responsibilities.

• Define templates, best practices and

standards

• Establish communication process

• Infrastructure management

• Establish SAS Operating Council

• Improvements in support model

• Establish technology roadmap

• Mature SAS Operating Council

• Plan for reusability of assets

• Refine best practices and

standards process

• Refine infrastructure support

• Architecture assessment &

improvement

• Better predictability in capacity

planning

• Build SAS information

asset repository

• Build data acquisition and

stewardship model

• Build metadata

management reuse model

• Develop, manage and

refresh tools and

technologies

• Metric based health

tracking mechanism

Building a Foundation for Successful Outcome

Operating Model• Business Process Integration with technology

Enterprise Architecture• Organizing Logic

Engagement Model• System of Governance

Milestones and Challenges

Architecture

• Cost effective, Scalability, High-Performance, Capacity

Hardware

• Integration with strategic enterprise architectural roadmap

Migration

• Data currency and User community

Adoption

• Weekly Status and User Training Sessions

SAS Grid Computing Environment

Grid Client

SAS® Metadata Server

SAS® Management ConsoleGrid Manager and Schedule Manager

SAS Program Platform LSF

Grid Control

Server

Base SAS SAS CONNECT®

SAS Workspace Server SAS Grid Server SAS Data Step Batch Server

Platform Process Mgr

Platform LSF

Platform Grid Management Service

Base SAS SAS CONNECT®

SAS Grid Server SAS Data Step Batch Server

Platform LSFSAS® Data

Integration StudioSAS® Enterprise

Miner

SAS® Enterprise

Guide

Other SAS

Clients

Central File Server for: Job Deployment Directories

Source and Target Data

SAS Executables

Grid Node 1…n

Benefits

Improved efficiencies• Metadata

• Shared Resources

• Compliance

• Expanded Data access

Gained Insights• Increased throughput

• Rapid time-to-decision

• Expanded Data access

Lessons Learned

• Realistic timelines

• Effective engagement model

• Sufficient UAT

• Weekly meetings and training sessions

• SME facilitated knowledge transfer sessions

• SharePoint

• How to, FAQ, Training, Documentation, Events, Issues

What’s Next?

• Homogenous Data Source

• In-Database Analytics

• Visual Analytics

• Social Media

Questions

VP, Business Intelligence Center of ExcellencePeachtree Center Ave., Suite 2400Atlanta, Georgia 30308Telephone: 404.813.3152 (STN: 340)Cell: 404.217.9791

Sterling Green

VP, Business Intelligence Center of Excellence

Mail Code: GA-MT-2415

285 Peachtree Center Ave., Suite 2400

Atlanta, Georgia 30308

Telephone: 404.813.3152 (STN: 340)

Cell: 404.217.9791