RWDG Slides: The Future of Data Governance – IoT, AI, IG, and Cloud

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Copyright © 2020 Robert S. Seiner – KIK Consulting & Educational Services / TDAN.com
Non-Invasive Data Governance™ is a trademark of Robert S. Seiner & KIK Consulting
#RWDG @RSeiner
Real-World Data Governance
The Future of Data Governance –
IoT, AI, IG, and the Cloud
Monthly Webinar Series Hosted by DATAVERSITY
Robert S. Seiner – KIK Consulting / TDAN.com
December 17, 2020 – 11:00 a.m. PT / 2:00 p.m. ET

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#RWDG @RSeiner
The Future of Data Governance
Introduction
Real-World Data Governance – Monthly Webinar Series
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#RWDG @RSeiner
• In the webinar I will share:
– Advancements in Information Technology
– The Impact of the Advances on Data Governance
– The Impact of Data Governance on the Advances
– What the Future of Data Governance Looks Like
– How to Sell Data Governance’s Role Moving Forward
Abstract

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#RWDG @RSeiner
• Technologies Change
– Internet of Things (IoT)
– Artificial Intelligence (AI)
– Information Governance (IG)
– The Cloud
Advancements in Information Technology

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#RWDG @RSeiner
• Technologies Change – Internet of Things (IoT)

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#RWDG @RSeiner
– Internet of Things (IoT) – D2D exchange of data
• real-time analytics, machine learning, commodity sensors, and
embedded systems
• wireless sensor networks, control systems, automation (including
home, building, manufacturing automation)

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#RWDG @RSeiner
– Internet of Things (IoT) – D2D exchange of data
• "smart homes“ – including devices and appliances (such as lighting
fixtures, thermostats, home security systems and cameras, and
other home appliances) within a single ecosystem
• controlled via devices associated with that ecosystem, such as
smartphones and smart speakers
• healthcare and monitoring applications

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• Technologies Change – Artificial Intelligence (AI)

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– Artificial Intelligence (AI) – enables computers and machines to mimic
the perception, learning, problem-solving, and decision-making
capabilities of the human mind
– machines (or computers) that mimic "cognitive" functions that
humans associate with the human mind, such as "learning" and
"problem solving“
– optical character recognition was an early form of AI
– understanding human speech, competing at the highest level in
strategic game systems, autonomously operating cars, intelligent
routing in content delivery networks, and military simulations

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• Technologies Change – Information Governance (IG)

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– Information Governance (IG) – unstructured data governance, records
– balances risk that information presents with the value provided
– legal compliance, operational transparency, and reducing
expenditures associated with legal discovery
– a consistent and logical framework for employees to handle data
through policies and procedures
– guide proper behavior regarding how organizations and their
employees handle electronically stored information

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• Technologies Change – Cloud Computing

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– Cloud Computing – on-demand availability of computer system
resources, data storage and computing power, without direct active
management by the user
– data centers available to many users over the Internet
– often have functions distributed over multiple locations from central
servers.
– may be limited to a single organization (enterprise clouds) or be
available to multiple organizations (public cloud)
– sharing of resources to achieve coherence and economies of scale

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#RWDG @RSeiner
– Internet of Things (IoT) – device to device exchange of data
– Artificial Intelligence (AI) – enables computers and machines to mimic
the perception, learning, problem-solving, and decision-making
capabilities of the human mind
– Information Governance – unstructured data governance, records
– Cloud – on-demand availability of computer system resources, data
storage and computing power, w/o direct active mgmt. by the user
What impact are these
having on data?
What impact are these having on
governing that data?

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• Impact on Roles
• Impact on Skills
• Impact on Return on Investment
• Impact on Your Data Governance Program
The Impact of the Advances on Data Governance

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• Impact on Roles
– There are still data definers, producers and users.
– These people must be held formally accountable for the data.
– We must still execute and enforce authority through people.
– Roles are harder to define in association with the technologies.
– More difficult to recognize people into role assoc with technologies.
– Still need to address all levels of the organization:
• Executive
• Strategic
• Tactical
• Operational
• Support
• Administrative

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• Impact on Skills
– Requires people skilled in data and technology.
– Business must recognize that data from technologies be governed.
– Technology moving faster than the governing of that data.
– People must be educated in both data and the technologies.
– Will potentially require new people with new skills.
– The future is with the next generation of “data governors”.

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• Impact on Return on Investment
– Technologies come with a price.
– Adoption also comes with a price.
– Must be able to demonstrate the value of adopting new technologies.
– Also need to demonstrate value of governing this data.
– In the future demonstrating ROI from DG will be more difficult.
– Best practice for standing up programs will remain the same.

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– The framework I share will still apply.
– Components are data, roles, processes, communications, metrics, tools.
– Must effectively manage roles and skills.
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Copyright © 2019 – Robert S. Seiner and KIK Consulting & Educational Services, LLC
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA GOVERNANCE FRAMEWORK
DATA
LEVELS
EXECUTIVE – SENIOR LEADERSHIP TEAM
STRATEGIC – BUSINESS & TECHNOLOGY MGMT
TACTICAL – SUBJECT MATTER EXPERTISE
OPERATIONAL – DAILY JOB FUNCTION
SUPPORT – FUNCTIONAL MANAGEMENT
COMPONENTS
DATA – ASSETS BEING GOVERNED
ROLES – FORMAL ACCOUNTABILITY
PROCESSES – APPLICATION / ENFORCEMENT
COMMUNICATIONS – EDUC, TRN, AWARENESS
METRICS – MEASUREMENTS and KPIs
TOOLS – ARTIFACTS PURCHASED / DEVELOPED

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– Must formalize accountability for the governance of data.
– Must execute and enforce authority over the data.
– These last two bullets will not be easy.

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• Ability to Improve Data Definition
• Ability to Improve Data Production
• Ability to Improve Data Usage
• Ability to Improve Data Stewardship
The Impact of Data Governance on the Advances

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#RWDG @RSeiner
Data and metadata will
not govern themselves.
Everybody is a data steward
now more than ever.

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#RWDG @RSeiner
– Resolute effort must be made to govern data in these technologies.
– Formal business definition must be provided for the data.
– Formal definition leads to improved data production and usage.
– Definition of standards, regulatory and risk rules to be emphasized.
– Additional scrutiny and auditability will move to the forefront.

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#RWDG @RSeiner
– Knowledge of where data was produced will increase in importance
– Improvements of accountability for data production will be scrutinized
– Auditability of data production, especially IoT data, will increase
– Production of data for AI, IG and in the Cloud will remain constant
– Legal consequences of the new technologies will likely grow

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#RWDG @RSeiner
– IoT – legalities of D2D data usage is still being defined and debated
– AI – data usage will require accountability as data is produced using AI
– IG – usage of unstructured data will be as hot as structured data
– Cloud – usage of data stored in the cloud will stay consistent
– Regulatory/privacy rules will increasingly become governance’s focus

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– Stewardship will continue to be the driver of data governance
– Governance will continue to focus on the formalized accountability
– Everybody is a data steward --- will be in jeopardy
– Everything is a data steward --- may play a bigger role in the future
– “Everything” will require formalized accountability

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• More Internet of Things
• More Artificial Intelligence
• More Information Governance
• More Data in the Cloud
• More and More Technologies
What the Future of Data Governance Looks Like

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• More Internet of Things
– There will be more occurrences of device-to-device data movement.
– Attention will be paid to clearer definition of the data to be collected.
– More device-to-device data movement will need greater security.
– Organizations will be held more formally accountable for D2D data.
– Rules will become stricter as to how D2D data can/cannot be used.

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• More Artificial Intelligence
– There will be more occurrences of organizations using AI.
– Attention will be paid to accountability for decisions made by AI.
– More AI will require scrutiny of the decisions being made by AI.
– Organizations will be held more formally accountable for use of AI.
– Rules will become stricter as to how AI can/cannot be used.

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• More Information Governance
– There will be more occurrences of governance of unstructured data.
– Attention will be paid to clearer definition of unstructured data.
– Unstructured data will continue to grow unprecedented rates.
– People will be held more accountable for unstructured data.
– Examiners stricter as to how unstructured data must be governed.

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• More Data in the Cloud
– More and more data will be managed in the cloud.
– More and more metadata will be stored in the cloud.
– Organizations will continue to be required to govern cloud storage.
– Organizations will continue to be required to secure cloud storage.
– Combinations of IoT, AI and IG will require more governance.

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– Wearable technologies – fashion, smartwear, tech togs, skin electronics
– Virtual technologies – impression of physically inside a simulated space
– Nanotech – reduction to atomic, molecular and supramolecular scale
– Hologram technologies – real world recording of interference pattern
– Robotic technology – interface of computer science and engineering

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• Stay Non-Invasive in Your Approach
• Gain More ROI from Technologies
• Gain More ROI from Integration Efforts
• Gain More ROI from Digital Transformation
• Improve Efficiency and Effectiveness through Formality
How to Sell Data Governance’s Role Moving Forward

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#RWDG @RSeiner
• Stay Non-Invasive in Your Approach
– Start with premise that governance is already taking place
– Recognize people into roles rather than assigning people into roles
– Execute and enforce authority
– Formalize accountability
– Take the path of least resistance and greatest success

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• Gain More ROI from Technologies
– ROI from Data Governance comes from ROI from tech investments
– ROI from technologies come from value of the data per investment
– Immediate value will be from improved efficiency and effectiveness
– Long term value will come from sustained use of technologies
– Ultra long-term value will come from replacing humans w/machines

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• Gain More ROI from Integration Efforts
– Reduction of systems and data to maintain
– Reduction of people required to maintain technology
– Reduction of data errors requires improvement in governance
– People will look to automate governance in the future
– Governance will always be about people’s behavior

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• Gain More ROI from Digital Transformation
– adopt digital technology to transform services or businesses
– replace non-digital or manual processes with digital processes/tech
– enable innovation/creativity rather than supporting manual methods
– enable concept of going paperless/new level of business maturity
– governance will be required to become digital and data centric

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#RWDG @RSeiner
• Improve Efficiency and Effectiveness through Formality
– formal data
– formal roles
– formal processes
– formal communications
– formal metrics
– formal tool
EXECUTIVE
STRATEGIC
TACTICAL
OPERATIONAL
SUPPORT
Copyright © 2019 – Robert S. Seiner and KIK Consulting & Educational Services, LLC
Levels
Components
ROLES
COMMUNICATIONS
TOOLS
METRICS
PROCESSES
DATA GOVERNANCE FRAMEWORK
DATA
LEVELS
EXECUTIVE – SENIOR LEADERSHIP TEAM
STRATEGIC – BUSINESS & TECHNOLOGY MGMT
TACTICAL – SUBJECT MATTER EXPERTISE
OPERATIONAL – DAILY JOB FUNCTION
SUPPORT – FUNCTIONAL MANAGEMENT
COMPONENTS
DATA – ASSETS BEING GOVERNED
ROLES – FORMAL ACCOUNTABILITY
PROCESSES – APPLICATION / ENFORCEMENT
COMMUNICATIONS – EDUC, TRN, AWARENESS
METRICS – MEASUREMENTS and KPIs
TOOLS – ARTIFACTS PURCHASED / DEVELOPED

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#RWDG @RSeiner
• In the webinar I shared:
– Advancements in Information Technology
– The Impact of the Advances on Data Governance
– The Impact of Data Governance on the Advances
– What the Future of Data Governance Looks Like
– How to Sell Data Governance’s Role Moving Forward
Summary

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#RWDG @RSeiner
Questions and Answers

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#RWDG @RSeiner
• Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
412.220.9643 rseiner@tdan.com @RSeiner
Contact Information

RWDG Slides: The Future of Data Governance – IoT, AI, IG, and Cloud

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