Assets in Public Transport · integration or utility. ... A four-step process designed to align the...

Data, Data EverywhereKey Steps to Integrating Systems

for Improved Decision Making

Herbert Higginbotham

Accenture Transit & Tolling Services

Los Angeles, CA

Copyright © 2014 Accenture. All rights reserved. 2

Meeting the needs of increasing

ridership

Accommodating service and

speed advancements

Improving state of good repair

(SOGR)

Increasing operating efficiencies

Addressing rising resource

costs.

Supporting sustainability

Ensuring safety and security

Transit Challenges

What do we have?

Lots of Systems & Data

But low levels of

integration or utility


IT/OT: Increased Integration of Operations and

Information Technologies

• Integration of business functions

• Integration of 3rd Party sources

• Near real time, dynamic

• Transaction detail

• Common Language – Master Data

Mobility: Mobility solutions extending to the

industrial arena

Cloud: Cloud platforms provide new ways of

delivering services

Analytics: Advanced analytics and Big Data

applications are expanding

• Role based/personalized BI & Analytics Solutions

• Exception based analysis and reporting

• Actionable alerts provided via PC, smart phone

• Structured (templates) and unstructured (ad hoc) analysis

• Use of leading indicators, predictive in nature

Data Management Today


Operations Transparency

Inventory Management

Maintenance Planning & Scheduling

Compliance & Safety

Retirement & Disposal

Incident

Management

Scheduling &

Dispatch

Demand Planning &

Forecasting

Fare & Revenue

Management

Procurement & Contracting

Customer Management

Human Resources

Finance & Budget

Data Hub/

Warehouse

Predictive

Analytics

Telematics &

Remote MonitoringCloud

Services

GIS

CAD

Service

Management

Resource

Management

Data &

Analytics

GIS &

Spatial

Mobility

& Cloud

Integrated real-time

visibility for better transit

decisions

BIM & Aerials

Dashboards &

Performance

Field

Force

Asset & Work

Management


Building a Transit Agency on Operations Transparency

A four-step process designed to align the organization’s data, technology,

processes, and people with an overall vision for seamless and transparent transit

operations.

1. Awareness of

interdependent data for

operations visibility

2. Integrated framework to

collect, manage, analyze

data

3. Standardization of

processes & controls

4. A culture change at every

level of the organization


Case StudyLarge US Passenger Rail Operator

Project Scope

• Enterprise transformation of Operations, Finance and Materials

Management components of the business

o Define standard process model

o EAM, ERP, and Business Analytics capabilities

How Accenture Helped

• Standardized business model

• Single integrated EAM tool set to provide Operations Transparency

• Integrated back office financial and materials management capabilities

o Integration to ERP and GIS

o Integration to track geometry car through Optram

• Integrated demand and supply planning processes

Benefits

• Increase fleet utilization

• Reduce maintenance backlog (through increased productivity)

• Reduce overall inventory / improve service parts positioning

• Improve on-time performance

• Increase visibility to maintenance events to make smarter decisions

• Improved labor utilization – track labor to specific work

• Achieved greater compliance to FRA inspections

• Gained $5M in reimbursable work done for others


Information

Sources

Data Integration &

Standardization & Consolidation

Information

Domains

Presentation &

Delivery

Client Reporting

Environments

Enterprise

Applications

Published Reports &

Dashboards

External

SystemsData

Extracts

StagingData

Integration

(ODS)

Data

Marts

Web

Analytic Applications

& Models

Executives

Managers &

Analysts

Statisticians

Prompted & Ad-Hoc

Reporting

3rd Party Data

Providers / Partners

•Unstructured

•Minimal

Validation

•Structured

•Standardized•Structured for

ease of use

and rqmts

Collecting and Organizing Your Data

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“Siloed”

(Multiple Data Stores)

Focused on data marts /

warehouses/reports created and supported

based on the needs of specific functions

Unique development and support

processes tailored to the needs of each

function

Unique technology environment chosen to

support only the specific needs of the

function

Project based organizations created to

develop and support the solutions

Data stores are fed by multiple source

systems

Some common development and support

processes

Limited sharing of technology environment

Project based organizations created to

develop and support the solutions

Enterprise solution focused on centralized

data warehouse created to meet all reporting

and analytic needs

Common development and support

processes

Shared technology environment chosen to

support the needs of the enterprise

Centralized organizations created to develop

and support the solutions

“Distributed”

(Source systems feed multiple

Departmental Datastores)

“Centralized”

(Enterprise Warehouse Environment)

Enterprise Data Warehouse

Enterprise

Data Warehouse

Inventory

System of

Record

Sales

Pricing

Finance

Inventory

Operations

Production

Business User

Pricing

HR

Finance

Sales

Inventory

System of

Record

Sales

Pricing

Finance

Storage

Inventory

Operations

Production

Business User

Operations

HR

Finance

Sales

Pricing

Business User

Inventory

System of

Record

Sales

Pricing

Finance

Risl

Storage

Production

Insurance

Sales

Evolving Your Data Management


Case Study:

OT Data Model for Transit


Independent Federated BalancedSelective

DistributionUnified

Functional areas operate with

complete autonomy while

maintaining global standards

to meet specific enterprise

requirements.

Functional areas control a

majority of their business

and technology operations

with limited coordination

from the enterprise.

Responsibility and

ownership are shared

equally among the

different functional areas

and the enterprise.

Data Governance provides

a point of control and

decision making but

functional areas own

selective decisions and

activities.

Data Governance provides

a single point of control

and decision making, with

functional areas having

little or no responsibility.

Functional Enterprise

DGDG DGDG

Evolving Your Data Governance

Direction around whether data governance will have a functional or enterprise POV will help

dictate the scope and reach of processes controlled by the data governance organization.


Case Study:

OT Business Process Model for Transit


Case Study:

OT Framework Aligned to Agency Vision and Goals

Financial,

Human &

Material

Asset

Management

Fixed/

Engineering

Assets

Management

Rolling/

Mobile/

Mechanical

Asset

Management

Transport-

ation

Management

Integrated Resource and Asset Information

(Location, Condition, Activity, Costs)

Right-Time

Dashboard

& Reporting

Decision

Support

Tools

Investment

Planning &

Forecasting

Operational

Transparency• Leverage integration among

departmental functions

• Create Enterprise Data Model

supporting a Service & Event

Centric Approach

• Revamp business processes in

various departments throughout

the organization

• Modernize and integrate

business systems to an

organization-wide solution

• Provided one accurate view of

enterprise information for

management decision making

and cost sharing with federal,

state, and local agencies

• Utilize a Value Realization

Framework to quantify results

and monitor the program

ILLUSTRATIVE

The EAM for Transportation Value Realization Framework


The Vision: How Will We Operate In the Future?

OT Dashboard

Real-Time Data Sources

Integrated Data

Warehouse

Maintenance

Shop

Receive Alert

Perform Service

Capture Data and

Update Records

!Field and Depot Crews

• 20 Year Forecast

• 5 Year Operating and

Capital Budget

OT Dashboard

• Real-time and historical scorecard and

KPIs

• Operations and Capital Planning

measures

Headquarters

OT Dashboard

Engine Terminal

Facility 1

Facility 2

OT Dashboard

Capital

Construction

OT Dashboard

Procurement, Logistics

and Materials

Management

Rail Control

Center

OT Dashboard


The Result: Integrated Data For Improved Analysis and

Decision Making

Asset Management KPIs

Dynamic Geographic Analysis

Finance and Accounting Dashboard

Real-time Equipment Monitoring


Before you begin…

• Document the vision (WHAT)

• Develop a clear business case (WHY)

• Establish a framework for transformation (HOW)

“We will collect, organize, and share

our data to produce integrated, real-time

information for better agency decision

making.”

Along the way…

• Socialize the journey

• Pilot foundational capabilities – score quick wins

• Change management and executive leadership

Key Success Factors for your Data Transformation

Herbert Higginbotham

Accenture Transit and Tolling Services

[email protected]

310-726-2009

To learn more about how to optimize and integrate your transit data and

technology, contact:

Thank You!

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