Date post: | 21-Jan-2018 |
Category: |
Data & Analytics |
Upload: | osthus |
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Eric Little, PhD
Chief Data Officer
Innolabs Summit London 2017
Why Data Is Becoming the Most
Valuable Asset Companies Possess
Slide 2
The Current Problems Most Companies Face
Data Silos
Incompatible instruments/systems
Proprietary data formats
Legacy architectures/tools
SME knowledge resides in people’s
heads
Little common vocabulary
Data schemas are not explicitly
understood (or non-existent)
Lack of common vision between
business units and scientists
2
Slide 3
Handling Complexity
3
Scientific data is incredibly complex
Because the underlying science is incredibly complex
But do we use the right tools?
Slide 4
User experience must be highly
simplified – consumer
expectations
Underlying tech is highly
complex
Complexity Does Not Mean For the User
VS.
Slide 5
Metadata is key element for:
Data Management practices that
drive successful organizations
• Data Governance (#1 use)
• Data Stewardship
• Data Warehousing
• Master Data Management
• Enterprise Resource Management
• Customer Relationship
Management
• Business Intelligence
• Analytics
2/3 of recent survey respondents
Metadata is more important than
10 years ago
The Increasing Importance of Metadata
Source: “Emerging Trends in Metadata Management” Dataversity 2016 Report
By Donna Burbank and Charles Roe
Slide 6
Align disparate data
Human Concepts (Lenses)
Context
Search is more important than ever
The Google Effect
Machine Readability
Increasingly useful
Automation
Standards
Business Users Are Increasing
Legacy approaches are too “techie”
Why Metadata Matters So Much
Slide 7
A New Approach to Data Science
Slide 8
Data Lakes are a rising trend
Preserves raw data
Reduces ETL processing
Longer shelf life
Internet of Things (IoT)
Machine-to-Machine communication
Relies on context
Data Variety continues to grow
Descriptions are critical
Link to Data Veracity (statistics)
Metadata Matters for Big Data
Slide 9
AT OSTHUS LAB DATA SCIENCE IS CALLED
B IG ANALYS IS
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Slide 10
Why Big Data Is Moving To Big Analysis
It’s not about the IT problems anymore
IT is rapidly changing (moving beyond its traditional boundaries)
Human-centered Design is increasingly more important
Technology is dominating strategic business priorities (Deloitte “Tech Trends 2017”)
It’s about being able to use data, not simply retain it
Past RDB tech was built on storage techniques, not always retrieval
Data Warehouses – hard to repurpose the transforms
Data Lakes – often hard to do Schema-on-Read
Big Analysis combines metadata + statistics to build advanced lab informatics
Connecting data, people and organisations
Learn more by visiting BigAnalysis.com