2. Definition
A data value chain describes the evolution of data from
information to intelligence within an organization.
It encapsulates the various forms data can take as individual
departments transform it to fit their needs.
As such, its inherent value increases the more it is used.
A feedback loop is created when changes to data collection
programs are implemented due to the identification of
knowledge gaps.
Thus, supporting a virtuous cycle of continuous improvement.
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3. Links in the Chain
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• Intelligence (integrated)
• Knowledge (assimilated)
• Information (interpreted)
• Data (collected)
4. NOAAs Knowledge Powerhouse
U.S. Department of Commerce | National Oceanic and Atmospheric Administration | NOAA Fisheries | Page 4
Belter, C., S. Davis, and J. Thomas. 2014. A Bibliometric Analysis of Articles by NOAA-Affiliated Authors Published During
Fiscal Year 2013. NOAA Central and Regional Libraries.
5. Virtuous Cycle Characteristics
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• Data Entry Applications
• Web/Mobile Devices
• Electronic Reporting/Monitoring
• Remote Sensing
• Interpret and analyze
• Queries and reports
• Visualizations to discern patterns
• Statistical analyses to understand
relationships
• Prescribe and Act
• Integrated into the decision-making
process at multiple levels (strategic,
tactical, operational)
• Drives data collection improvements
• Publications
• Model development
• Institutional awareness
• Predict
Knowledge Intelligence
DataInformation
6. Virtuous Cycle Technologies
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• Programming Languages
• Web/Mobile Devices
• In-situ, Remote Sensors, AUVs
• Databases and Data Storage
• Spreadsheets and Desktop Databases
• Statistical Software Packages
• Geographic Information Systems/Data
Visualization
• Structured Query Language
• Cloud Computing
• Performance Dashboards
• Business Rule Development
• Decision-Support Systems
• Data Mining
• Predictive Analytics & Modeling
• Business Intelligence
• NoSQL Databases/Hadoop
• Big Data
Knowledge Intelligence
DataInformation
7. How it works …
U.S. Department of Commerce | National Oceanic and Atmospheric Administration | NOAA Fisheries | Page 7
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8. VIPER System
• Visualization
• Integration
• Prediction
• Extraction
• Reporting
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9. Description
VIPER brings the algorithms to the data and not the other way
around. Data mining-ready tables are transferred to the
VIPER data cluster at regular system-dependent intervals
from the existing Oracle data warehouse. VIPER will not
change the way operational data is collected or managed at
the SEFSC. VIPER will leverage the data collection, quality
control, quality assurance, and data management
enhancements by extracting only science-quality data from
each system. The data will be stored within the easily
expandable cluster to maintain high performance.
U.S. Department of Commerce | National Oceanic and Atmospheric Administration | NOAA Fisheries | Page 9
10. Capabilities
• Interactive Data Visualization
• Exploratory Data Analysis
• Predictive Analytics
• Customized Reporting
• Performance Dashboards (key performance indicators)
• Dynamic Off-Site Built-In Replication (Disaster
Recovery/COOP)
• Ability to quickly add resources as needed through cloud-
based computing
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