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The Convergence of Data & Digital
Mapping Out A Cohesive Strategy
for Maximum Impact
Presented by:
Joe Caserta
President, Caserta
Massachusetts
Institute of
Technology
MIT
Boston, MA
July 18, 2018
Massachusetts
Institute of
Technology
C Data O vs C Digital O
Chief Data Officer
Evangelize a data vision for
the organization
Provide accountability for data
Innovate ways to use existing
data
Enrich and augment data
Support & enforce data
governance & security
Monitor and enforce data
quality
Set standards for analytical
reporting and generate data
insights
Chief Digital Officer
Digital strategy and
Innovation
Challenge and cannibalize
core business
Digital marketing and
customer engagement
Digital user experience
design
Customer-centric service
innovation
All mobility solutions, data
management and analytics
Sets standards, own data
and analytics platform
Massachusetts
Institute of
Technology
ETL
ETL
`
Horizontally Scalable Environment - Optimized for Analytics
Big Data Analytics
Big Data Analytics
NoSQL
Databases
Traditional BI
Distributed File System
Traditional
EDW
Business
Applications Enterprise Reports
The Evolution of Enterprise Data
Massachusetts
Institute of
Technology
Evolution of Analytics
What
happened?
Why did it
happen?
What will
happen?
How can we
make It happen?
Data Analytics Sophistication
BusinessValue
Source: Gartner. (+ Joe)
How to interact with
the customer?
Reports  Correlations  Predictions  Recommendation s  Artificial Intelligence
Most are here 
Massachusetts
Institute of
Technology
The CDO/CDO Compromise
Chief Digital
Officer
Chief Data
Officer
The CDO Compromise
Digital Focus
Time to Market
Company Relevance
Customer Advocate
Generate Revenue
Data Focus
Standards
Governance
Stability
Reusability
Generate Revenue
Massachusetts
Institute of
Technology
4 steps of the Industrial Revolution
18th Century: Introduction of Water and Steam powered mechanical
manufacturing facilities
19th Century: Introduction of electric powered mass production. First assembly
lines in 1870
1970s: Introduction of electronics and IT to advance automation of
manufacturing; for programmable controller 1969
Today: Introduction of AI based Cyber-Physical systems
Massachusetts
Institute of
Technology
Becoming Digital for the People
Massachusetts
Institute of
Technology
Becoming Digital - Driven by Data
Massachusetts
Institute of
Technology
Digital and Data In Action
Massachusetts
Institute of
Technology
Data is Food for the Future
Massachusetts
Institute of
Technology
Data Analytics is your Differentiator
Acquiring, analyzing and acting on data with a focus on speed to action
Massachusetts
Institute of
Technology
Future-Proof Data Architecture
Ingest Raw
Data
Organize, Define,
Complete
Munging, Blending
Machine Learning
Data Quality and Monitoring
Metadata, ILM , Security
Data Catalog
Data Integration
Fully Governed ( trusted)
Arbitrary/Ad-hoc Queries
and Reporting
Big
Data
Warehouse
Data Science Workspace
Data Lake – IntegratedSandbox
Landing Area – Source Data in “Full Fidelity”
Usage Pattern Data Governance
Metadata, ILM,
Security
Massachusetts
Institute of
Technology
Data Security Concerns
Operational Security
Intrusion Detection
Safe Employee Devices & Credentials
Internet Communication
DoS Protection
Storage Services
Encryption at Rest
Deletion of Data Protection
User Identity
Authentication
Login Abuse Protection
Service Deployment
Access Management of End User Data
Encryption of Inter-Service
Communication
Inter-Service Access Management
Service Identity, Integrity, Isolation
Hardware Infrastructure
Secure Boot Stack & Machine Identity
Hardware Design & Provenance
Security of Physical Premises
Massachusetts
Institute of
Technology
Moving to the Cloud
Massachusetts
Institute of
Technology
Caserta Clients
Retail/eCommerce
& Manufacturing
Finance, Healthcare,
Energy & Insurance
Digital Media/AdTech
Education & Services
Massachusetts
Institute of
Technology
Who We Are / What We Do
Transformative Strategic Consulting
Management Intelligence
Business Intelligence
Data Intelligence
Artificial Intelligence
Advanced Technical Implementation
Data Governance
Data Architecture
Data Engineering
Data Science
Effective Methods Proven Results
Award Winning Company
Foundation Built on Data
Strategists, Architects,
Engineers, Analysts, Scientists
Data Ecosystem Reengineering
Digital Readiness
Data Lake Architecture
Data Warehousing
ETL Orchestration
Massachusetts
Institute of
Technology
Forge Ahead
Life is like riding a bicycle,
to keep your balance, you
must keep moving.
- Albert Einstein
Massachusetts
Institute of
Technology
Thank You!
joe@caserta.com
@Joe_Caserta
Joe Caserta
President, Caserta

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The Convergence of Data & Digital: Mapping Out a Cohesive Strategy for Maximum Impact

Editor's Notes

  1. Source for Digital Officer https://www.cio.com/article/3085604/cio-role/warning-cdos-can-be-hazardous-to-your-cios-health.html
  2. Reports 70s – 90s = 20 years Correlations (DW) 90s- 2000 Predictions (data mining) 2005 Recommendations (ML) 2007 Artificial Intelligence - 2017
  3. Rudi Dornbush once quoted: “Things take longer to happen than you think they will, but then they happen much faster than you thought they could” The symbiotic relationship between AI and mankind is a natural progression. We approached with caution, and we’re still cautions, but the rate of adoption and AI implementation projects this year is phenomenal. 72% of business leaders in a study by PwC termed AI as a “business advantage” 61% of those who have an innovation strategy said they are using AI to identify opportunities in data that would otherwise be missed.  What AI powered solutions do you imagine having the largest impact on your business: 31% Virtual Personal Assistants 29% Automated Data Analysis By 2020, 90% of cars will be connected to the Internet. In 2012 it was 10%. 33% of drivers believe semi-autonomous driving technology is safer (automated park assist, lane-departure sensors, etc.) Pokemon Go, AR Technology hit 45 million daily active users. Source: http://www.cmo.com/features/articles/2017/8/24/15-mindblowing-stats-about-artificial-intelligence-dmexco.html#gs.fg3XEjw
  4. America spends $3.4 Trillion on Helathcare. 50% is spent on 5% of the population Highest concentration is chronic illness and end of life About one-third of Americans undergo operations in the last month of life. I wont try to solve the healthcare problem today, but I do believe AI will help optimize spending and improve lives.
  5. Virtual Assistants
  6. How do you deploy models. How do you trickle feed your models, how to you test them for accuracy. How do you detect if they’re still accurate?
  7. ILM, Metadata, Security, Quality, MDM, Organization, Business Process Integration/BPI
  8. [24]7.ai DoS: Denial of Service https://cloud.google.com/security/infrastructure/design/
  9. [24]7.ai DoS: Denial of Service https://cloud.google.com/security/infrastructure/design/
  10. All about Caserta