data governance and the internet of things

1

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

1


Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting #RWDG

Real-World Data GovernanceData Governance

and the Internet of ThingsMonthly Webinar Series Hosted by DATAVERSITY

Robert S. Seiner – KIK Consulting / TDAN.comDecember 17, 2015 – 2:00 p.m. EST

Robert S. SeinerKIK Consulting & Educational Services – KIKconsulting.com

The Data Administration Newsletter – TDAN.com

22





2

• 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 ThingsUpcoming RWDG Webinars

33





3

• The Data Administration Newsletter (TDAN.com):Produced by DATAVERSITYDecember 2015 Issue is AvailableRegister to receive email newsletter

• DATAVERSITY EventsEnterprise Data Governance Online (EDGO)January 27, 2016edgo.dataversity.net

• Non-Invasive Data Governance:The Path of Least Resistance and Greatest SuccessTechnics Publishing

Data Governance and the Internet of ThingsCurrent Events

44





4

• Several years back there were already more devices connected to theinternet than people.

• It is estimated that more than 20 billion devices will be connected by 2020and 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.

Data Governance and the Internet of ThingsAbstract

55





5

• Several years back there were already more devices connected to theinternet than people.

• It is estimated that more than 20 billion devices will be connected by 2020and 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?


66





6

• 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


77





7

• 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 and the Internet of ThingsData Governance Definitions

88





8

• 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 assurenon-threatening management of valuable data assets.

– The goal is to be• Transparent• Supportive• Collaborative.

Data Governance and the Internet of ThingsData Governance Definitions

99





9

Data Governance and the Internet of ThingsInternet of Things Humor

1010





10

Data Governance and the Internet of ThingsInternet of Things Humor

1111





11

• 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.

Data Governance and the Internet of ThingsInternet of Things

1212





12

• 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


1313





13

• “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.


THINGS

1414





14

• FTC Staff Report (Jan 2014) – Comprehensive look at the emerging IoT andsecurity, including secure APIs, authentication, and product updates.

• Problems inherent w/devices speaking to devices include:1. Devices can be reprogrammed to function beyond purpose2. Devices have limited interfaces to monitor network intrusion3. Devices have data vulnerabilities that can often be exploited


1515





15

• Applications of the Internet of Things– Media– Environmental Monitoring– Infrastructure Management– Manufacturing– Energy Management– Medical and Healthcare Systems– Building and Home Automation– Transportation

Data Governance and the Internet of ThingsIoT Applications

• Dimensions of Governance‒ Data Processes‒ Data Quality‒ Risk Management‒ Interoperability

1616





16

• Applications of the Internet of Things– 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


1717





17

• Applications of the Internet of Things– Environmental Monitoring

• 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

– What are the Data Governance considerations in this application?• Quality / Accuracy• Timing / Delivery


1818





18

• Applications of the Internet of Things– Infrastructure Management

• 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

– What are the Data Governance considerations in this application?• Quality / Safety• Timing / Delivery / Reaction


1919





19

• Applications of the Internet of Things– 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

– What are the Data Governance considerations in this application?• Quality / Efficiency / Effectiveness• Timing / Delivery / Reaction


2020





20

• Applications of the Internet of Things– Energy Management

• 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

– What are the Data Governance considerations in this application?• Quality / Metrics• Timing / Delivery


2121





21

• Applications of the Internet of Things– Medical and Healthcare Systems

• 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

– What are the Data Governance considerations in this application?• Quality / Metrics• Privacy / Protection• Timing / Delivery


2222





22

• Applications of the Internet of Things– Building and Home Automation

• 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

– What are the Data Governance considerations in this application?• Quality / Security• Efficiency / Effectiveness• Timing / Delivery / Reaction


2323





23

• Applications of the Internet of Things– 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

– What are the Data Governance considerations in this application?• Quality / Efficiency / Effectiveness• Timing / Delivery / Reaction


2424





24

• Dimensions of Data Processes– Definition– Production– Usage

Data Governance and the Internet of ThingsIoT Dimensions

2525





25

• Dimensions of Data Processes– 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


2626





26

• Dimensions of Data Processes– Governance of Data Production

• How the data will be collected• The instrumentation / calibration• How the data will be transferred• Define the risk management rules



2727





27

• Dimensions of Data Processes– 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• Define the risk management rules



2828





28

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


2929





29

• Dimensions of Data Quality– Accessibility Governance

• Who can access the data• When can they access the data• How can/must they access the data


3030





30

• Dimensions of Data Quality– Accuracy Governance

• Valid Measures / Calibration Standards• Accuracy of the data that is produced• Accuracy of how the data is used


3131





31

• Dimensions of Data Quality– Completeness Governance

• Completeness of data definition• Completeness of data production• Completion of data transfer / usage


3232





32

• Dimensions of Data Quality– Consistency Governance

• Consistency of shared data definition• Consistency of how data is produced• Consistency of how data is used


3333





33

• Dimensions of Data Quality– Relevance Governance

• Relevance of data• Relevance of method how the data is produced• Relevance of how the data is used


3434





34

• Dimensions of Data Quality– Timeliness Governance

• Timeliness of standard data definition• Timeliness of when data is collected and delivered• Timeliness of when the data used


3535





35

• Dimensions of Data Quality– Uniqueness Governance

• Uniqueness of how the data is defined• Uniqueness of scenarios for data production• Uniqueness of how the data is used


3636





36

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


3737





37

• Dimensions of Risk Management– Security Governance

• Definition of security rules• Production of security rules• Usage of security rules• Education of security rules• Enforcement of security rules


3838





38

• Dimensions of Risk Management– Privacy Governance

• Definition of privacy rules• Production of privacy rules• Usage of privacy rules• Education of privacy rules• Enforcement of privacy rules


3939





39

• Dimensions of Risk Management– 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


4040





40

• Dimensions of Risk Management– Classification Governance

• Definition of classification rules• Production of classification rules• Usage of classification rules• Education of classification rules• Enforcement of classification rules


4141





41

• Dimensions of Risk Management– Protection

• Definition of protection rules• Production of protection rules• Usage of protection rules• Education of protection rules• Enforcement of protection rules


4242





42

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


4343





43

• Dimensions of Interoperability– 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


4444





44

• Dimensions of Interoperability– 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


4545





45

• Dimensions of Interoperability– Cross-domain – common interest data

• enhance– social– organizational– political– legal entities

• working together for a common information exchange


4646





46

• Applications of the Internet of Things– Media– Environmental Monitoring– Infrastructure Management– Manufacturing– Energy Management– Medical and Healthcare Systems– Building and Home Automation– Transportation

Data Governance and the Internet of ThingsIoT Applications Revisited

• Dimensions of Governance‒ Data Processes‒ Data Quality‒ Risk Management‒ Interoperability

4747





47

• 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

Data Governance and the Internet of ThingsSummary

4848





48

• Robert S. SeinerKIK Consulting & Educational Services – KIKconsulting.comThe Data Administration Newsletter – TDAN.comPost Office Box 112571, Upper St. Clair, Pennsylvania 15241412.220.9643, 412.220.9644 (Fax)[email protected]@tdan.com

@RSeiner

Data Governance and the Internet of ThingsContact Information

data governance and the internet of things

Business