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UNLEASH THE POWER OF YOUR DATA
5/23/20191
meta• a prefix appearing in loanwords from Greek, with
the meanings “after,” “along with,” “beyond,” “among,” “above”
wright • a person who creates, builds, or repairs something
specified: a playwright ; a shipwright
5/23/20192
Brief History of “Operationalizing” Data
2019
2009
1999
1989
5/23/20193
The 4th Industrial Revolution
AUTOMATIONComputer
MECHANIZATIONSteam
MASS PRODUCTIONElectricity
CYBERPHYSICALIOT- AI-ML
5/23/20194
Digital TransformationMcKinsey Global Institute's Industry Digitization Index,
Europe is currently operating at 12% of its digital potential, while the USA is operating at 18%
https://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/digital-europe-realizing-the-continents-potential
5/23/20195
How we doin?
Qualitative vs Quantitative Analysis
“Buy Facebook Likes”
5/23/20196
DIGITAL TRANSFORMATIONTURNING BUSINESS INTO A SCIENCE
DIGITALQuantitative
ANALOGQualitative
Gartner – Strategic Technology Trends
INTELLIGENT
• Autonomous Things• Augmented Analytics
• AI-Driven Development DIGITAL
• Digital Twin• Empowered Edge• Immersive Experience MESH
• Blockchain• Smart Spaces
PRIVACY & ETHICS QUANTAM COMPUTING
5/23/20198
Autonomous Things
Single Purpose Automation
Multi-Environment
AI Driven
Multi-Device
Multi-purpose
5/23/20199
Source: Conde Nast Collection (New Yorker / Paul Noth)
5/23/201910
Augmented Analytics - Machine Learning
Points, Edges Weights, Biases
5/23/201911
Neural Network
Algorithmic Weights and Biases
Hey Alexa, Is this a Penguin?
3BLUE1BROWN SERIES
5/23/201912
Cost Effective Process Efficiency
The Humble AI Hot Dogmin$$$
While maintaining taste, color, texture and food safety
QP QB QC
Objective Function+ Constraints
5/23/201913
Citizen Data Scientist
Data Collection Data Consumption
Machine Learning Applications
• Models• Knapsack Problem • Travelling Salesman
• QA, Testing Tools• Sampling Verification
Gartner estimates that by 2020 the number of citizen data scientists will will grow 5 times faster that expert data scientists
Data Conception ?
5/23/201914
The Data Industrial Revolution
MECHANIZATIONICAM
CYBERPHYSICALAI-Driven Development
AUTOMATIONApplication – Database Generation
MASS PRODUCTIONProcess – Data Modelling
5/23/201915
Data and Process(ing)
1968 1976
ERM
Entity – Relationship Model
IDEF-0*
*ICAM Definition, Integration DEFinition
PROCESS
1992
1996
5/23/201916
Data Operations
Collection / Consumption
DATA COLLECTION - Applications
DEV OPS - is a set of software development practices that combines software development (Dev) and information technology operations (Ops) to shorten the systems development life cycle while delivering features, fixes, and updates frequently in close alignment with business objectives.
DATA CONSUMPTION - Analytics
DATA OPS – is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and reduce the cycle time
of data analytics
Wikipedia
5/23/201917
Empowered Edge - Digital Twin
Computer-Aided Design
By 2020, Gartner estimates that there will be more than 20 billion connected devices
5/23/201918
Immersive Experience
Virtual
Environment
Real
Environment
MR
Mixed
Reality
VR
Augmented
Reality
AR
5/23/201919
Immersive Senses
Proprioception
5/23/201920
Human PerceptionThe White and Gold (No, Blue and Black!)
5/23/201921
Blockchain
BROKER
• Bank• Clearinghouse• Government
“Smart Contracts”
• Reduce fees• Eliminate latency
5/23/201922
Smart Spaces
Technology that is FIT for USE
for how I want to USE IT!
DYNAMIC PERSONALIZATION
Technologies
Physical or Virtual
Information
1927
Impacts on Data Management?
ARCHITECTURE
METADATA REFERENCE FILES
STANDARDS
ARCHITECTURE
Impacts on Data Management?
ARCHITECTUREARCHITECTURE
METADATA REFERENCE FILES
STANDARDS
DATA
GOVERNANCE
DATA
OPERATIONSDATA
QUALITY
5/23/201926
Data Mapping & Traceability
HUH?Help Understanding Heuristics
Month
Season
Week
How
Reported
COUNT
$$$$$$
DirectorManager
Customer
TypeCompany
PERIOD
PRODUCT
PEOPLE
PROCESS
Product
Service
Group
PARTY
Drill Down
Assuring Sampling Method
5/23/201927
Data Quality – Machine Learning
5/23/201928
ALCHEMY vs CHEMISTRY
“To make gold, one must start with gold.”
Bernard Trevisan, 15th century alchemist
5/23/201929
Ouroboros - Data Quality
Start with Good Data !
5/23/201930
Data Interoperability - Standards
Transformation
Classification
5/23/201931
Data Manufacturing
Create, Read, Update, Delete
5/23/201933
Collecting – NOT Creating Data
QUANTITY
VALUE
TIMESTAMP
Transaction Molecule
$
42
CustomerCategory
Code
Country
The 4Cs of Master Data:
Overview
Scott Taylor 4/22/2019
https://www.dataversity.net/the-4cs-of-master-data-overview/
Calendar
5/23/201934
Generalizing the Model
PARTY PRODUCT
PROCESS
PLACE
PERIOD
5/23/201935
5/23/201936
3 Dimensional Model
CONCEIVE
CONFIGURE
COMMIT
CONSUME
5/23/201937
4 Dimensional Model - Over Time
-1 0 +1TIME
POT
PITDATA COLLETION
POINT-IN-TIME
DEVOPS
DATA CONSUMPTION
POINT-OVER-TIME
DATAOPS
5/23/201938
Business
as a
Science
Develop Hypothesis
Identify Data Sets
Develop Patterns
Test Hypothesis
DATA STRATEGY
Business Objectives
ARCHITECTURE
METADATAREFERENCE FILES
STANDARDS
DATA
GOVERNANCEDATA
OPERATIONSDATA
QUALITY
ARCHITECTURE
5/23/201941
Plus ça change…
5/23/201942
…Plus c'est la même chose
5/23/201943
C&C - Systems 88
MS PowerPoint (1989-90)
5/23/201944
Alignment
BIZ IT
5/23/201945
PRIVACY & ETHICS
GATES
GUARDS
GUNS
Data Protection vs. Data Privacy
Data Privacy
• European – General Data Protection Regulation• Explicit Consent• Right to be Forgotten• Lawful Processing• Breach Notification
• California Data Protection Act
Ethical Sharing of Data
B to CDirect Relationship
With CustomerB to B
Implied RelationshipWith Customer
CONTENT & CONTEXT
GDPR
5/23/201949
QUANTUM COMPUTING
• Binary Based Model
Architecture Models
• Neuron Based Model
• Moore's Law
5/23/201952
Program Sessions
Program Agenda
11:00 am – Paul Moxon
“Key Data Integration
Challenges with Data
Virtualization”
11:40 am – Neil Barton
“Augmented Analysis and
Automation in the Age of the
Data Scientist”ARCHITECTURE
DATA
GOVERNANCEDATA
OPERATIONS
1:20 pm – Jeff Giles
“Putting Your Metadata
to Work for You”
2:00 pm – Sean Anderson
“Deploying Data Ops for
Analytics Agility”
3:00 pm – Mark Lynch
"Accelerate Your Journey
to AI"
3:40 pm – Robert Abate
“Data Privacy & Today’s
Privacy Regulations”
5/23/201956
Great Power…
Carries with it Great Responsibility for the Conception,
Collection and Consumption of Data.
-ishVoltaire
5/23/201957
