Accenture APTA Conference June 5 2013
Philadelphia
Operations Transparency (OT): Providing
Meaningful Visibility Across Your Organization
Rajesh Ramamurthi,
Accenture
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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
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What would a solution look like?
Data Integration to Better Decision-Making
Today Enabling End Game
Data transformed to information to drive better operating, safety, and financial decisions
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How do you bring components of solution together to get an integrated view of operations?
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EXAMPLE: Business Process Mapping – Requirements, Data, Integration, Process Flows
Developed during the SAM Project by Amtrak & Accenture
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OT Data Model for Transit
Portions of Conceptual Data Model developed during the SAM Project by Amtrak & Accenture
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OT: A new kind of visibility for better decisions
OT gives public transportation administrators and operators full real-time, contextual visibility across Service Execution Management, Asset Management and Resource Management systems integrated to extended capabilities.
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Culture Change Standardized Process
Operations Transparency : Laying the groundwork
Integrated Framework Right Data
Awareness of interdependent
data for Operations Visibility
The essential foundation for OT is
the right data. However, data
collection in a proper collection
framework can prove challenging.
Operations and the data that goes
with it are often disconnected. As
such, organizations need both an
awareness of what data to assess
and a means of consolidating this
data. Important sources of
operations data include:
• Incident management
• External inputs - labor activity,
fuel prices, construction, etc.
• Integration into the ERP system
• Real-time KPI across a route
• Demand and supply visibility.
• Spatial visualization.
• Safety and compliance
Standardization of
processes & controls OT represents a very
different way of working for
public transit authorities. To
make the most of the data
and the data collection
framework, transit operators
must establish integrated
processes that clarify how
operators can most
effectively act on data
insights.
A culture change at every
level of the organization Although it is easy to take for
granted, the human element of
OT transformation is central to its
success. Historically, the industry
has not had access to this kind of
technology. Now that it is
available, the challenge is to help
workers break old habits when
new systems are put in place so
organizations can gain the most
value from their technology
investment.
Further, the organization-wide
transition from a “seat of the
pants,” reactive management
style to a data-driven, predictive
one will require a keen and
comprehensive change
management focus.
Integrated Framework to
collect, manage, analyze data Many transit authorities rely on
multiple systems to store different
types of operations data. What is
needed is a single EAM operations
platform leveraged to its fullest and
integrated with an ERP platform.
The most prevalent EAM in the
transportation industry is the
Maximo EAM solution. Accenture
has uniquely demonstrated
innovative ways to take this
software to the next level, providing
an operations data framework in
Maximo that allows an easily linked
and analyzable collection of data to
improve on-the-ground operations
management in real time.
Accenture is currently working on
extending SAP to provide similar
capabilities to support an
operational data framework.
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A good foundation leads to Operations Transparency
Culture Change Standardized Process Integrated Framework Right Data
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Summary – Key factors for successful EAM Transformation leading to Operations Transparency
• Vision includes full enterprise solution
• Leadership driven governance
• Integrated value realization roadmap
• Clearly defined Process Model
• Enterprise Operational Data Model
• Integrated Business, Data and Application Architecture
• Communicate, Communicate, Communicate