Denodo DataFest 2016: Enterprise View of Data with Semantic Data Layer

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Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/kPmzWU Gaining an enterprise view of the data across different independent lines of businesses is difficult when the operations, systems, and data are inherently siloed. VSP Global is a conglomerate operating different businesses across eyewear insurance, manufacturing, and retail. They are integrating the silos using a semantic data layer. In this presentation, the Enterprise Data Architect at VSP Global, Tim Fredricks will present: • The challenges associated with data siloed across different LOBs • How to build a semantic data layer using data virtualization • Centralizing business rules in the data virtualization layer This session also includes a panel discussion with: • Tim Fredricks, Enterprise Data Architect at VSP Global • Rick Hart, Director of Global Technology Solutions at BioStorage Technologies • Jeff Veis, VP Big Data Platform Marketing at HPE • Mike Litzkow, Sales Director at Denodo (as moderator) This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6 This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6

Données & analyses

O C T O B E R 1 8 , 2 0 1 6 S A N F R A N C I S C O B A Y A R E A , C A
#DenodoDataFest
RAPID, AGILE DATA STRATEGIES
For Accelerating Analytics, Cloud, and Big Data Initiatives.

Proprietary and Confidential | 2
Tim Fredricks
Enterprise Data Architect, VSP Global
Enterprise Analytics and Information Management

Proprietary and Confidential | 3
AGENDA
About VSP Global
Problem Definition
Envisioned Solution
Business Benefits
Future Roadmap
Lessons Learned

Proprietary and Confidential | 5
PROBLEM DEFINITION
• Growth, Expansion, Acquisitions created disparate data environments
• Increased interdependence of LOBs requires new perspectives
• Direct to consumer, Omni-Channel initiatives
• Directive: Unification and Shared Consciousness
• Future: Information as a Product

Proprietary and Confidential | 6
DATA CHAOS

Proprietary and Confidential | 7
ENVISIONED SOLUTION
Data Sources
etc…
Data Integration Data Repository
Batch
Replication
Messaging
Events
Delivery, Presentation
Operational
Analytical
Predictive
Innovative
Provider
Order
Consumer
Other…
LDW
Raw, Relational
Refined, Dimensional
Data Governance – glossary, metadata, lineage, stewardship
SingleAccessPoint
DataVirtualization

Proprietary and Confidential | 8
BUSINESS BENEFITS
• Data Analysis vs Data Discovery – time and cost savings
• Consolidated Data Modeling – business view
• Improved Data Quality/Consistency – single source of truth
• Faster delivery, prototyping - define/refine requirements/deliverables
• Single Access Point – analytics and business intelligence

Proprietary and Confidential | 9
FUTURE ROADMAP
• Quick Wins for business problems – reinforce value, agility
• Enterprise Domain Models – evolving and complex
• Cross LOB Use Cases – integrated view of data across business areas
• Predictive vs Operational Views – future vs historical

Proprietary and Confidential | 10
LESSONS LEARNED
• Business Requirements and Participation are paramount
• Governance, Metadata, and Lineage are critical
• Iterative Releases increase engagement
• Enterprise Data Models are elusive
• Performance and Expectations must be managed carefully

Panel
M O D E R A T E D B Y :
Tim Fredricks
Enterprise Data Architect, VSP Global
Rick Hart
Director of Global Technology Solutions,
BioStorage Technologies
Jeff Veis
VP Big Data Platform Marketing,
Hewlett Packard Enterprise
Mike Litzkow
Sales Director, Denodo

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