Date post: | 22-Jan-2018 |
Category: |
Data & Analytics |
Upload: | corinium-coriniumglobal |
View: | 33 times |
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Peter Sprague, VP of Product Marketing, Pyramid Analytics
The Last Mile Implementing Your Data Strategy
Where others see trees, CD&AOs need to see the forest.
• Lead Data Strategy
• Organizational Change Agents
• Open Government Initiatives
Government CDO’s: Many Expectations
The last mile problem…
Legacy systems make this problem much worse.
The organization’s need for:
• Governance
• Compliance
• Transparency
Balanced with users’ needs:
• Agility
• Accessibility
• Self-Direction
All require an analytics strategy.
Build your analytics strategy
around a complete set of shared
enterprise assets. Analytics Repository
An Analytics Repository is Critical to Manage Large Deployments
• Encourage collaboration
• Encourage re-use • Leverage shared organizational logic
• Ensure transparency • Promotes both increased discovery as well as increased trust
Provide for Curated Content
• Both official and self-service content in the same context
• Allow users to understand the source of content
• Seed content for self-service systems
Example: Analytics Repository
Concordia University
Deliver analytics best
practices across the
organization as a service. Analytics-as-a-Service
Analytics-as-a-Service Can Be Transformational
• Accelerate the organization’s analytic maturity
• Make the systems scalable, reliable
• Have your BI resources, IT staff, and business users focused on what they do best
Deploy BI Solution Centers
• Centralize analytics expertise
• Decentralize content creation
• Can also improve and influence the analytics maturity of partner organizations
“Not your father’s BI Center of Excellence.”
Example: Analytics as a Service
Department of Veterans Affairs
ML is another type of
organizational logic that
needs to be integrated.
Operationalized
Machine Learning
Operationalized ML is Critical
• To be useful most algorithms need to be applied at the grain
• End users need to have access to ML algorithms
• ML algorithms need to be a first-class citizen in the analytics repository
Use ML to Realize the Value of Big Data
• ML is the secret to finding the
value in data swamps
• ML and data lake access must be
available to the person that
understands the business
problem—not just those who
understand the technology
• Use in-place analytics to avoid
the “elephant in the room”
Example: Operationalize Machine Learning
Local Paramedics Organization
Summary
Create a separate analytics strategy with:
• A well-managed repository
• Analytics-as-a-Service
• Operationalized ML
Contact Me
Exhibitor’s Table
@petesprague
Peter Sprague
VP Product Marketing Pyramid Analytics