Welcome to Columbus · modernize State IT as the SCIO ... •Service Oriented Architectures •Data management challenges emerge •Data definitions •Meta data •Data quality •Data

Department of TechnologySam Orth, Chief Information Officer

Welcome to Columbus

Association of Technology ProfessionalsFebruary 8, 2017

Department of Technology

Agenda• A little about me• Columbus• Smart Columbus – Overview• Smart Columbus from an IT point of view• Q&A

A little about me…Pe

rson

al

• Born & raised in Columbus• Lived in 4 homes not more than 10

miles apart• Family has resided in Ohio since

1787 (prior to statehood)• 3rd generation to graduate from

Ohio State• Introduced Woody Hayes to my

Junior High School when I was 13• Started programming in Fortran on

punch cards on an IBM S32 in 1975• Had a CompuServe terminal in my

house from 1972 to 1977• Only class my Dad ever made me

take was typing – can you guess why?

• I have a 14 year old son who is a geek wanna-be

• I went all the way through public school with my wife of 31 years whom I did not meet until we were at Ohio State – we grew up ¼ mile apart

Priv

ate

Sect

or • My first job was a paper route at the age of 7 – I sold it when I was 22

• Started selling Personal Computers at Central Ohio’s 3rd

computer store in 1982• Sold first Apple Computers on an

Apple SLED contract in 1984• Worked for Apple for 4 years as a

Systems Engineer and Market Development Exec

• Did market development in the LAN/WAN space

• Owned a systems integration company focused on IT planning, voice, video and data engineering, and structured cabling

Publ

ic S

ecto

r • Sold my consulting company to lead the State’s efforts to wire every public classroom

• Placed over 700,000 personal computers in Ohio’s classrooms

• Partnered with OARNet to build and light what was then known as the Third-Frontier Network in 1999. Connected over 4,800 public school buildings statewide

• Served as the Chief Enterprise Architect for the State of Ohio

• Led efforts to design and modernize State IT as the SCIO from 2008-2011

• Served at CTO for Ohio Education Computer Network

• Served on CAB for HPE and VMW• Joined the Mayor’s cabinet as CIO

in July 2016

14 Years 21 Years

A little about Columbus…A great place to live, work and raise a family

15Silicon Valley of Midwest- More tech startups than any city outside of Silicon Valley

CitizenSuccess

• necessary to achieve highlevels of

Value

• that have synergies which generate

Teams

• to have effective

Trust

• It takes

Department of Technology

Multi-Modal Trip Planning ApplicationCommon Payment

SystemMobility Assistance for People with Cognitive

DisabilitiesSmart Mobility Hubs

Smart Street Lighting Pedestrian Collision Avoidance

Connected Electric Automated Vehicle

Delivery Zone Availability

Enhanced PermitParking

ParkingManagement

Truck Platooning

Oversize Vehicle Routing

Interstate Truck Parking Availability

USDOT program

Engaging With USDOT Partners

Local Partners

17Engaging With Partners

15 Projects

Connected Vehicle Environment

Smart Street Lighting

Transit Pedestrian Collision Avoidance System

Integrated Data Exchange (IDE)

Multi-Modal Trip Planning Application

Common Payment System

Mobility Assistance for People with Cognitive Disabilities

Smart Mobility Hubs




Event ParkingManagement

Truck Platooning



ENABLING TECHNOLOGIES

DISTRICTS

CCTN

IDE

RESIDENTIAL

COMMERCIAL

DOWNTOWN

LOGISTICS

Electrification Vulcan

Smart Columbus Electrification Plan’s (Vulcan Foundation) 5 Elements

1) Electricity supply decarbonization

2) Fleet electrification

3) Transit, autonomous vehicles, and multi-modal systems

4) Consumer adoption

5) Charging infrastructure

22

Electric Vehicle Infrastructure

Electricity SupplyDecarbonization

• 900 MW Solar/Wind StatewideOutcomes


• Fleet Electrification• 300 Public Fleet EVs • 30 Car Share/Ride Share EVs • 450 Private Fleet EVs

Outcomes

Fleet Electrification


• 6 EAVs• 50 EV Pedal Assist

Bicycles

Outcomes

Transit, Autonomous & Multi-Modal Systems


• 1.8% of new carregistrations by 2018

Outcomes

Driving Consumer Adoption


• 1,685 new charging stationsOutcomes

Charging Infrastructure

Network Data Applications

Smart Columbus: From an IT Point of View

Network


Smart Columbus: Transportation Focus• Dedicated short-range communications (DSRC)• Short to medium range one or two-way

telecommunications designed for automotive use• 75MHz of spectrum in the 5.9 GHz band dedicated by FCC

in 1999 for intelligent transportation systems vis FCC Report and Order FCC 03-324

• DSRC was developed with a primary goal of enabling technologies that support safety applications and communication between vehicle-based devices and infrastructure to reduce collisions. DSRC is the only short-range wireless alternative today that provides:

•Fast Network Acquisition•Low Latency•High Reliability when Required•Priority for Safety Applications Interoperability•Security and Privacy

Smart Cities: Infrastructure that supports a future of IoT

©2016 Silver Springs Networks, All Rights Reserved

SENSOR CONTROL FABRIC

SENSOR DATA MANAGEMENT PLATFORM

SENSOR MANAGEMENT & OPERATIONAL PLATFORM APPLICATIONS / THIRD-PARTY INTEGRATIONS

SENSOR NETWORKING PLATFORM

SENSORS & DEVICES

L7:6

L5

L4

L3:2

L1

McKinsey & Company $11.1 Trillion worldwide over the next 10 years

Smart Cities: Infrastructure that supports a Smart foundation• Sensor Gateway/Hat• Traffic, Utility, Parking Meter Sensors Ctrl.• Smart Utility or Lighting Pole• Smart LED Lighting• Safety or Traffic Cameras• Audible Detectors• Environmental Sensors (Particulate, Wind,

Precipitation)• Cellular Radios• Power• Ethernet• Fiber Connectivity

Data


Evolution of the IT Industry – Change is the only constant

1960 1970 1980 1990 2000 2010 2016

`InternetInternet

Commercially-viable corporate enterprise computing based on Mainframe computing – only affordable by largest school districts and governments

Emergence of Midrange computing platforms

Time Sharing

Personal Computing Era Begins

SpreadsheetsDatabasesWord Processing

Computing starts to migrate out of the Datacenter

Emergence of LANs and Client-server applications

Beginning of commoditization of the PC

Emergence of Internet-based client-server applications

Commoditized PCs, LANS, Servers, Storage

Emergence of smart phones, personal digital assistants

Consumer devices are ubiquitous –personal computing is finally personal

User expectations, of technology services accelerate

Systems integration is transparent to the customer in the “cloud” but more complex

The Internet of Things

The network is the application

Cloud-computingBig-dataNetwork-devicesAlways-connectedWearable-computingSmart-vehiclesCyber-Threats

User expectations at an all time high

1981: Apple goes magnetic with its 5 MB

hard drive, $3,500

1995: Seagate introduces its 1GB

drive for $849

2007: Hitachi introduces the first TB

disk for $399

$700/MB

.002¢

Evolution of the IT Industry – Change is the only constant

1960 1970 1980 1990 2000 2010 2016

`InternetInternet

Commercially-viable corporate enterprise computing based on Mainframe computing – only affordable by largest school districts and governments

Emergence of Midrange computing platforms

Time Sharing

Personal Computing Era Begins

SpreadsheetsDatabasesWord Processing

Computing starts to migrate out of the Datacenter

Emergence of LANs and Client-server applications

Beginning of commoditization of the PC

Emergence of Internet-based client-server applications

Commoditized PCs, LANS, Servers, Storage

Emergence of smart phones, personal digital assistants

Consumer devices are ubiquitous –personal computing is finally personal

User expectations, of technology services accelerate

Systems integration is transparent to the customer in the “cloud” but more complex

The Internet of Things

The network is the application

Cloud-computingBig-dataNetwork-devicesAlways-connectedWearable-computingSmart-vehiclesCyber-Threats

User expectations at an all time high

PRES

ENTA

TIO

NAP

PLIC

ATIO

NDA

TATraditional N-tier Application Architecture •N-tier applications grew from the goal of developing

applications focused on business process automation needed to run the organization

•Enterprise applications evolved for common business management needs

•General Ledger, accounts payable, accounts receivable, payroll, benefit management, invoicing, purchasing, asset management and others merged to form Enterprise Resource Planning platforms•Help desk, 311 and sales management applications morphed into service desk and customer relationship management platforms

•Niche solutions emerged for lines of business or or as operational control systems

•Traffic management•Utility billing (Water, Electricity, Gas)•Taxation collection•Building zoning and permitting•Fleet management and routing

APPL

ICAT

ION

IS T

HE D

ATA

Data Becomes Tethered To Their Applications • N-tier application growth results in federated environment of enterprise and point solutions with individual databases spread across the organization

• Attempts to solve data integration challenges have not been completely successful due to technical challenges, resource requirements, complexity and costs

•Application to application integration•Data Warehouses•Service Oriented Architectures

•Data management challenges emerge•Data definitions •Meta data•Data quality •Data ownership

•Business intelligence tools emerge to help make sense out of data (e.g. Cognos)•Enterprise consumption of data for decision support and application consumption remain challenged

Evolution of Chaos

Doc Mgt

Cloud Techs

EDI

Data Marts

Time Consuming

Costly

Complex Transformation

XML / JSON

Flat Files

Logs

Industry Standards

People & ProcessThanks to Informatica for their permission to use this slide© 2017 Informatica

INTEGRATED DATAMaster/Reference Data

(meta)Enterprise DW

Operational data stores

BUSINESS BRAINS & ANALYICS

DATA VIRTUALIZATIONQuery Engine

Semantic ModelingSecurity

APIs

ARCHIVAL

DATA LAKEStructured &

Unstructured Data

DATA

VIS

ULA

TIO

N

Untethering Data from its Database Data Management Platform: Order from Chaos

Goal: Enable data analytics and application consumption that create value for the public


(meta)Enterprise DW


BUSINESS BRAINS & ANALYTICS



APIs

ARCHIVAL


Unstructured Data

DATA

VIS

ULA

TIO

N

ENG

AGEM

ENT

LAYE

R

RESEARCH

APPLICATIONS

Example Technical Reference Architecture

Flexible

Replicable

Portable

Scalable

IDECOLS DMP

Partners

InsideCity-wide Collaboration

OutsidePublic Engagement

• Federal• State• City• NGO

Data As A Service: It’s not Open it’s not Private, it’s both

Data-As-A-Service: An Organizational Core Competency• Data is a line of business not a

place to store data• Without a focus on data

management, e.g. quality, data strategies fail

• Value from data comes from the ability to form the right context and questions around its use

• Data analytics is a core competency, not a piece of software

• A data-first strategy turns around the old n-tier data paradigm

Core IT Capabilities

1

2

3

4

5

6

7

Data Governance

Data Architecture

Data Asset Development

Data Quality

Data Context

Data Analytics

Infrastructure

Peop

le

Proc

ess

Data

Tech

nolo

gy

7

STREAMS

This is how we must think about the components of data management in the enterprise.

A Data Management Example• Delivering accurate data for business operations and public use

311

Suzizie M Long

Gramble DriveSt. Louis Park, 55416

Phone: 952-542 -025

Taxation

Suzzy M Rapp

5353 Gamble DrSaint Louis Park, MNPhone: 952-542-0257

Email: [email protected]

Suzzie M Long

Gramble DrSaint Louis Park, MN 55416

Phone: 952-542-025

Customer ID 12377

Suzzy M Rapp

5353 Gamble DrSaint Louis Park, MN 55416-1509Phone: 952-542-0257

Email: [email protected] ID722834

CleanseThanks to Informatica for their permission to use this slide© 2017 Informatica

311

Suzzie M Long


Phone: 952-542-025

Customer ID 12377

Taxation

Suzzy M Rapp


Email: [email protected] ID 722834

Cleanse Recognize

A Data Management Example

Thanks to Informatica for their permission to use this slide© 2017 Informatica

311

Suzzie M Long


Phone: 952-542-025

Customer ID 12377

Ohio Taxation

Suzzy M Rapp


Email: [email protected] ID 722834

Cleanse Recognize Resolve

Single Source Of Truth

Name: Suzzy M Rapp

Address:5353 Gamble DrSaint Louis Park, MN55416-1509USA

Phone: (952) 542-0257


Ethnicity: Caucasian

Marital Status: M

Financial: Single Family Home

Suzzy M Rapp

5353 Gamble DrSaint Louis Park, MN55416 -1509USAPhone 952-542-0257 Email: [email protected]

EDW 12377SFDC 722834ACXIOM054597455



mailto:[email protected]

Cleanse Recognize Resolve Relate

Single Source Of Truth

Name: Suzzy M Rapp

Address:5353 Gamble DrSaint Louis Park, MN55416-1509USA

Phone: (952) 542-0257


Ethnicity: Caucasian

Marital Status: M

Financial: Single Family Home

Suzzy M Rapp

5353 Gamble DrSaint Louis Park, MN55416 -1509USAPhone 952-542-0257 Email: [email protected]

311 12377Taxation 722834ACXIOM 054597455




Applications


Goal: Enable data analytics and application consumption that create value for the public


(meta)Enterprise DW


BUSINESS BRAINS & ANALYTICS



APIs

ARCHIVAL


Unstructured Data

DATA

VIS

ULA

TIO

N

ENG

AGEM

ENT

LAYE

R

RESEARCH

APPLICATIONS

15 Projects

Connected Vehicle Environment

Smart Street Lighting

Transit Pedestrian Collision Avoidance System

Integrated Data Exchange (IDE)

Multi-Modal Trip Planning Application

Common Payment System

Mobility Assistance for People with Cognitive Disabilities

Smart Mobility Hubs




Event ParkingManagement

Truck Platooning



ENABLING SYSTEMS & APPLICATIONS

DISTRICTS

CCTN

IDE

RESIDENTIAL

COMMERCIAL

DOWNTOWN

LOGISTICS

PUBLIC APPLICATIONSDATA MGT PLATFORM

CONTROL SYST & APP

Thank YouIf you want to change outcomes, you need to realize that outcomes are the result of systems. Not the computer systems, but the way people work and interact. And these systems are the product of how people think and behave. So, if you want to change outcomes, you have to change your systems, and to do that, you have to change your thinking.

John Morgan

City of ColumbusDepartment of Technology1111 East Broad StreetColumbus, Ohio 43205

Sam [email protected](614) 645-2550


Documents

Welcome to Columbus · modernize State IT as the SCIO ... •Service Oriented Architectures •Data management challenges emerge •Data definitions •Meta data •Data quality •Data