Data Governance and the Internet of Things

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Copyright © 2012 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
Twitter About This Webinar at #RWDG
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Real-World Data Governance
Data Governance
and the Internet of Things
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
December 17, 2015 – 2:00 p.m. EST
Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com

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• Real-World Data Governance – 2016 Schedule Announced
– January 21 – Metadata to Support Data Governance
– February 18 – Writing Data Governance Policies & Procedures
– March 17 – The Data Model as a Data Governance Artifact
– Third Thursday at 2 pm EST
– Register On-Line at TDAN.com or KIKConsulting.com
– Produced by DATAVERSITY
Data Governance and the Internet of Things
Upcoming RWDG Webinars

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• The Data Administration Newsletter (TDAN.com):
Produced by DATAVERSITY
December 2015 Issue is Available
Register to receive email newsletter
• DATAVERSITY Events
Enterprise Data Governance Online (EDGO)
January 27, 2016
edgo.dataversity.net
• Non-Invasive Data Governance:
The Path of Least Resistance and Greatest Success
Technics Publishing
Current Events

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• Several years back there were already more devices connected to the
internet than people.
• It is estimated that more than 20 billion devices will be connected by 2020
and that number will never fall.
• Connecting to the internet implies the transfer of data.
• The numbers of devices and what they transfer imply a lot of data.
Abstract

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• Several years back there were already more devices connected to the
internet than people.
• It is estimated that more than 20 billion devices will be connected by 2020
and that number will never fall.
• Connecting to the internet implies the transfer of data.
• The numbers of devices and what they transfer imply a lot of data.
• Who is governing all of this data?
Abstract

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• This webinar will focus on:
– Clear Description of IoT Focused on the Data
– Applications of IoT Data
– Addressing Data Management Concerns
– Dimensions of IoT Data Processes and Quality
– Risk Associated with Interoperability
Abstract

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• Data Governance
– Data Governance is the Execution and Enforcement of Authority
Over the Management of Data and Data-Related Resources.
• Data Stewardship
– Data Stewardship is the Formalization of Accountability
Over the Management of Data and Data-Related Resources.
Data Governance Definitions

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• Non-Invasive Data Governance™
– The practice of:
• applying formal accountability & behavior
• through non-invasive roles & responsibilities
• to existing and / or new processes
• to assure that the definition, production & usage of data
• assures regulatory compliance, security, privacy, protection & quality.
– Non-Invasive describes how governance is applied to assure
non-threatening management of valuable data assets.
– The goal is to be
• Transparent
• Supportive
• Collaborative.
Data Governance Definitions

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Internet of Things Humor

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Internet of Things Humor

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• What is the “Internet of Things”
– network of physical objects or "things“
– implanted with software, sensors, electronics
– connected to enable it to achieve value and service
– exchange data with the manufacturer, operator, devices
– uniquely identifiable through its embedded computing system
– interoperate within the existing Internet infrastructure.
Internet of Things

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• What is the “Internet of Things”
– advanced connectivity of devices, systems, and services
– beyond machine-to-machine communications (M2M)
– variety of protocols, domains, and applications
– usher in automation in nearly all fields
– enabling advanced applications
Internet of Things

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• “Things” are Exploding
– 2008 – already more "things" connected to the Internet than people.
– 2019 – companies will ship 1.9 billion connected home devices, $490 billion revenue.
– 2020 – number of Internet-connected things will reach 20 billion.
Internet of Things
THINGS

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• FTC Staff Report (Jan 2014) – Comprehensive look at the emerging IoT and
security, including secure APIs, authentication, and product updates.
• Problems inherent w/devices speaking to devices include:
1. Devices can be reprogrammed to function beyond purpose
2. Devices have limited interfaces to monitor network intrusion
3. Devices have data vulnerabilities that can often be exploited
Internet of Things

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• Applications of the Internet of Things
– Media
– Environmental Monitoring
– Infrastructure Management
– Manufacturing
– Energy Management
– Medical and Healthcare Systems
– Building and Home Automation
– Transportation
IoT Applications
• Dimensions of Governance
‒ Data Processes
‒ Data Quality
‒ Risk Management
‒ Interoperability

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– Media
• moving away from the traditional media approaches
• tap consumers w/technologies; targeted people, optimal times, locations
• aim to serve, convey message or content that is consumers mindset
• tailoring messages (advertisements) and delivery
• anytime, anyplace data delivery and capture
– What are the Data Governance considerations in this application?
• Convenience / Disturbance
• Permission / Privacy / Protection
• Accountability / Responsibility for Data
IoT Applications

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• utilize sensors to assist in environmental protection
• monitor air or water quality, atmospheric or soil conditions
• monitor the movements of wildlife and their habitats
• monitor for earthquake or tsunami early-warning systems
• emergency services to provide more effective aid
• cover large geographic area
• Quality / Accuracy
• Timing / Delivery
IoT Applications

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• monitor / control operations of urban and rural infrastructures
• monitor bridges, railway tracks, on- and offshore- wind-farms
• monitor conditions that compromise safety, increase risk
• schedule repair and maintenance activities
• control infrastructure like bridges to provide access to ships
• improve incident mgmt and emergency response coordination
• monitor quality of service, up-times
• benefit from automation and optimization
• Quality / Safety
• Timing / Delivery / Reaction
IoT Applications

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– Manufacturing
• control and manage of manufacturing equipment
• manage assets and situations
• dynamic response to product demands
• real-time optimization of manufacturing production
• network machinery, sensors and control systems together
• automate process controls, operator tools, service info systems
• optimize plant safety and security
• predict maintenance, maximize reliability
• Quality / Efficiency / Effectiveness
IoT Applications

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• optimize energy consumption
• integrate energy consuming devices (switches, outlets, bulbs)
• communicate with the utility supply company
• balance power generation and energy usage
• remote and central control their devices
• gather and act on energy and power-related information
• improve production efficiency, reliability, economics, sustainability, distribution
• collect data from end-user connections
• Quality / Metrics
IoT Applications

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• enable remote health monitoring
• enable emergency notification systems
• monitor specialized implants
• monitor the health and general well-being of senior citizens
• ensure proper treatment is being administered
• assist people to regain lost mobility via therapy
• encourage healthy living
• Quality / Metrics
• Privacy / Protection
IoT Applications

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• monitor/control the mechanical, electrical, electronic systems
• automate home systems
• control lighting, heating, ventilation, air conditioning
• control, appliances, communication systems, entertainment, home security
• improve convenience, comfort, energy efficiency, and security
• Quality / Security
• Efficiency / Effectiveness
IoT Applications

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– Transportation
• integrate communications, control, information processing
• monitor transportation systems
• monitor the vehicle, the infrastructure
• monitor vehicle user
• enables inter and intra vehicular communication
• enable traffic control, smart parking, electronic toll collection
• improve logistic and fleet management
• control vehicle safety and road assistance
• Quality / Efficiency / Effectiveness
IoT Applications

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• Dimensions of Data Processes
– Definition
– Production
– Usage
IoT Dimensions

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– Governance of Data Definition
• What data will be collected / standards
• What metadata will be collected
• What are the business rules for the data that is collected
• Define the risk management rules
– Classification rules
– Security rules
– Regulatory & Compliance rules
– Protection rules
IoT Dimensions

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– Governance of Data Production
• How the data will be collected
• The instrumentation / calibration
• How the data will be transferred
– Security rules
IoT Dimensions

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– Governance of Data Usage
• Who is permitted to use the data
• Who is permitted to share the data
• How is the data is intended to be used
– Security rules
IoT Dimensions

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• Dimensions of Data Quality
– Accessibility
– Accuracy
– Completeness
– Consistency
– Relevance
– Timeliness
– Uniqueness
IoT Dimensions

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– Accessibility Governance
• Who can access the data
• When can they access the data
• How can/must they access the data
IoT Dimensions

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– Accuracy Governance
• Valid Measures / Calibration Standards
• Accuracy of the data that is produced
• Accuracy of how the data is used
IoT Dimensions

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– Completeness Governance
• Completeness of data definition
• Completeness of data production
• Completion of data transfer / usage
IoT Dimensions

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– Consistency Governance
• Consistency of shared data definition
• Consistency of how data is produced
• Consistency of how data is used
IoT Dimensions

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– Relevance Governance
• Relevance of data
• Relevance of method how the data is produced
• Relevance of how the data is used
IoT Dimensions

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– Timeliness Governance
• Timeliness of standard data definition
• Timeliness of when data is collected and delivered
• Timeliness of when the data used
IoT Dimensions

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– Uniqueness Governance
• Uniqueness of how the data is defined
• Uniqueness of scenarios for data production
• Uniqueness of how the data is used
IoT Dimensions

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• Dimensions of Risk Management
– Security
– Privacy
– Regulatory & Compliance
– Classification
– Protection
IoT Dimensions

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– Security Governance
• Definition of security rules
• Production of security rules
• Usage of security rules
• Education of security rules
• Enforcement of security rules
IoT Dimensions

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– Privacy Governance
• Definition of privacy rules
• Production of privacy rules
• Usage of privacy rules
• Education of privacy rules
• Enforcement of privacy rules
IoT Dimensions

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– Regulatory & Compliance Governance
• Definition of R&C rules
• Production of R&C rules
• Usage of R&C rules
• Education of R&C rules
• Enforcement of R&C rules
IoT Dimensions

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– Classification Governance
• Definition of classification rules
• Production of classification rules
• Usage of classification rules
• Education of classification rules
• Enforcement of classification rules
IoT Dimensions

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– Protection
• Definition of protection rules
• Production of protection rules
• Usage of protection rules
• Education of protection rules
• Enforcement of protection rules
IoT Dimensions

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• Dimensions of Interoperability
– Syntactic – exchange of data
– Semantic – interpret the data
– Cross-domain – common interest data
IoT Dimensions

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– Syntactic – exchange of data
• communicate and exchange data,
• accept data formats, communication protocol
• enable standards among the tools
• ensure alphabetical characters are stored in an understandable format
IoT Dimensions

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– Semantic – interpret the data
• interpret the information exchanged meaningfully/accurately
• produce useful results as defined by end users of both systems
• refer to a common information exchange reference model
• monitor what is sent
• monitor that data is same as what is understood
• user-driven convergence of disparate interpretations
IoT Dimensions

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– Cross-domain – common interest data
• enhance
– social
– organizational
– political
– legal entities
• working together for a common information exchange
IoT Dimensions

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– Media
– Manufacturing
– Transportation
IoT Applications Revisited
• Dimensions of Governance
‒ Data Processes
‒ Data Quality
‒ Risk Management
‒ Interoperability

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• This webinar focused on:
– Clear Description of IoT Focused on the Data
– Applications of IoT Data
– Addressing Data Management Concerns
– Dimensions of IoT Data Processes and Quality
– Risk Associated with Interoperability
• Next Real-World Data Governance Webinar
– January 21 – Metadata to Support Data Governance
Summary

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• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
Post Office Box 112571, Upper St. Clair, Pennsylvania 15241
412.220.9643, 412.220.9644 (Fax)
rseiner@kikconsulting.com
rseiner@tdan.com
@RSeiner
Contact Information

Data Governance and the Internet of Things

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