Modernizing Analytics to Enhance Business Efficiency · Grid Client SAS ® Metadata Server SAS ......
Transcript of Modernizing Analytics to Enhance Business Efficiency · Grid Client SAS ® Metadata Server SAS ......
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