RWDG Webinar: A Data Governance Framework for Smart Data

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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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Robert S. Seiner
KIK Consulting & Educational Services – KIKconsulting.com
The Data Administration Newsletter – TDAN.com
Real-World Data Governance
A Data Governance Framework
for Smart Data
with Special Guest – Tony Sarris, N2Semantics
Monthly Webinar Series Hosted by Dataversity
May 19, 2016 – 2:00 p.m. EST

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• Real-World Data Governance – Monthly Webinar Series
– Third Thursday of Each Month – 2pm EST
– June 16, 2016 – DIY and Purchased Data Governance Tools
– Register On-Line at TDAN.com, KIKConsulting.com and DATAVERSITY.net
Upcoming Webinars

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• Non-Invasive Data Governance:
The Path of Least Resistance and Greatest Success
ISBN 9781935504856 / Technics Publishing / Amazon.com
• KIKConsulting.com
Home of Non-Invasive Data Governance™
• DATAVERSITY Events (with DEBTech International)
– Data Governance & Information Quality (DGIQ) Conference
June 27 – July 1, 2016 – San Diego, CA
Assess Your Existing DG Program – Tutorial
Data Governance, Privacy and Internet of Things – Session
Publish & Present

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• The Data Administration Newsletter
• (TDAN.com)
– Monthly Publication
– May Issue Available
– Articles, Columns, Features, Blogs
– Published by Bob Seiner
– Produced by DATAVERSITY
– Subscribe On-Line for Updates
– Article from Tony Sarris
Bots in a Smart Data World
Publish & Present

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Data Governance Framework for Smart Data
Introduction
• Does your organization have smart data?
• How does your company define smart data?
• Smart data is data that is used in non-traditional ways such as through
machine learning, through the semantic web and by taking advantage of
new data opportunities such as the Internet of Things.
• Businesses have embraced and established governance for Big Data.
Businesses are being asked to extend that to encompass Smart Data.
• Now we are being asked to embrace and govern Smart Data.

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Introduction
• Bob and Tony will cover:
– An easy to understand definition of Smart Data
– Why you should provide a framework to govern Smart Data
– How Smart Data Governance sources differs from traditional Data Governance
– How Smart Data can and will be used in the present and future
– What it means to provide a Framework to govern Smart Data

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• Tony Sarris
– Founder and principal of N2Semantics, a consultancy based in Orange County,
California, specializing in semantic technologies, AI and cognitive computing.
Special Guest

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Definitions
• 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.
• Non-Invasive Data Governance™
– Describes how governance is applied to assure
non-threatening management of data assets.
– The goal is to be
• Transparent
• Supportive
• Collaborative.
•

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• What Is Smart Data? 1 of 2
– Smart Data does not equal Big Data
• Big data is smart data in raw form
– Self-Describing thru Metadata
• Some metadata is administrative; other provides meaning
– Gets Meaning from Context
• Source, user, location, time, history, behavior, apps that create and use the
data, explicit data relationships, etc.
Definitions

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• What Is Smart Data? 2 of 2
– Additional Meaning from Human Annotation or Patterns / Relationships
• Patterns usually identified by statistical and other processing
(data analytics / machine learning)
– May be Machine-Generated
• Through predictive analytics or cognitive computing logic plus feedback
and learning
Definitions

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• What Is Smart Data Governance?
– Big Data Governance & Smart Data Governance
– Metadata Management & Metadata Governance
– Data Definers Provided from Context
– Data Producers Provide Additional Meaning
– Data Producers Govern Machine-Generation
Definitions

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• Semantic Search and Filtering (search by concept)
• Intelligent Content Discovery (automated research, personalized news feeds)
• Q&A (customer support, health advice)
• Image / Object Identification (who, what, doing what)
• Sentiment Analysis (product and brand perceptions)
• Trend Analysis (product purchases, political issues)
• Recommendations (products, movies, jobs)
• Decision Support (loans, insurance, healthcare)
• Simulations (chat bots, NPCs in games)
• Predictions (elections, stocks, purchases)
Smart Data Applications

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• Customer Care: lots of data to search; good fit for NLP; learning is valuable
• Healthcare: even more data; analytics-oriented; personalized health is hot
• Education: personalization and learning / feedback are key features
• Retail: good start in analytics, but issues with solutions & integration on
consumer side
• Travel, Leisure & Entertainment: low hanging fruit is fun, but best is yet to come
• Intelligent Virtual Personal Assistants and Bots: led my mobile devices,
primarily smart phones, but still early
• Smart Home: at specialized sensor data level; gated by progress in IoT &
integration with other areas including retail, health & entertainment
Markets for Smart Data Applications

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• Richer user profiles
– Advanced demographic, psychometric, user behavioral and contextual data
raises even more privacy concerns
• Biases in data sets used to create / train models, in resulting models, and in
target data analyzed using models can produce misleading results
– Provenance of training sets, models and target data may not be transparent or
even known
– Biases may be hidden (but may come out in results)
• Facts vs stats & trends vs predictions
• Machine-generated data
– Traceability back to supporting data and rationale
• What data to use where / for what?
Opportunity Areas for Smart Data
How will Data Governance assist organizations to
address these opportunities?
What is the need for governance of these types of data?
What must be included in a framework?

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• A Data Governance Framework includes
– Best Practice Approach
– Formalized Accountability
– Roles & Responsibilities
– Application to Process
– Execution and Enforcement of Authority
Data Governance Framework

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Wrap Up
• This webinar covered –
– An easy to understand definition of Smart Data
– Why you should provide a framework to govern Smart Data
– How Smart Data Governance sources differs from traditional Data Governance
– How Smart Data can and will be used in the present and future
– What it means to provide a Framework to govern Smart Data
• Next Real-World Data Governance Webinar – 2pm EST
– June 16, 2016 – DIY and Purchased Data Governance Tools

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Wrap Up

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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
@TDAN_com
#RWDG
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RWDG Webinar: A Data Governance Framework for Smart Data

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