Herbert Higginbotham Accenture Transit & Tolling Services Los Angeles, CA

Data, Data Everywhere Key Steps to Integrating Systems for Improved Decision Making Herbert Higginbotham Accenture Transit & Tolling Services Los Angeles, CA

Transit Challenges Meeting the needs of increasing ridership Accommodating service and speed advancements What do we have? Lots of Systems & Data Improving state of good repair (SOGR) Increasing operating efficiencies Addressing rising resource costs. Supporting sustainability Ensuring safety and security But low levels of integration or utility Copyright 2014 Accenture. All rights reserved. 2

Data Today 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 Copyright 2014 Accenture. All rights reserved. 3

Operations Transparency Integrated real-time visibility for better transit decisions Service Demand Planning & Forecasting Scheduling & Dispatch Data & Analytics Data Hub/ Warehouse Dashboards & Performance Predictive Analytics Fare & Revenue Incident Field Force Telematics & Remote Monitoring Cloud Services Mobility & Cloud Compliance & Safety Retirement & Disposal Maintenance Planning & Scheduling Inventory CAD BIM & Aerials GIS Customer Procurement & Contracting Human Resources Finance & Budget Asset & Work GIS & Spatial Resource Copyright 2014 Accenture. All rights reserved. 4

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 Copyright 2014 Accenture. All rights reserved. 5

Case Study Large US Passenger Rail Operator Project Scope Enterprise transformation of Operations, Finance and Materials components of the business o o Define standard process model 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 Copyright 2014 Accenture. All rights reserved. 6

Collecting and Organizing Your Data Information Sources Data Integration & Standardization & Consolidation Presentation & Delivery Information Domains Published Reports & Dashboards Executives Web Enterprise Applications Staging Data Integration (ODS) Data Marts Prompted & Ad-Hoc Reporting Managers & Analysts Client Reporting Environments Unstructured Minimal Validation Structured Standardized Structured for ease of use and rqmts Analytic Applications & Models Statisticians 3 rd Party Data Providers / Partners Data Extracts External Systems Copyright 2014 Accenture. All rights reserved. 7

Evolving Your Data Siloed (Multiple Data Stores) Distributed (Source systems feed multiple Departmental Datastores) Centralized (Enterprise Warehouse Environment) 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 System of Record Storage Business User System of Record Storage Business User System of Record Enterprise Data Warehouse Business User Inventory Risl Inventory Production Inventory Inventory Production Inventory Sales Production Sales Operations Sales Operations Sales Sales Pricing Enterprise Data Warehouse Pricing Insurance Pricing Finance HR Pricing Finance HR Finance Sales Finance Operations Finance Pricing Copyright 2014 Accenture. All rights reserved. 8

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. Functional Enterprise Independent Federated Balanced Selective Distribution Unified DG DG DG DG 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. Copyright 2014 Accenture. All rights reserved. 10

Case Study: OT Framework Aligned to Agency Vision and Goals ILLUSTRATIVE 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 Financial, Human & Material Asset Right-Time Dashboard & Reporting Integrated Resource and Asset Information (Location, Condition, Activity, Costs) Fixed/ Engineering Assets Operational Transparency Decision Support Tools Investment Planning & Forecasting Rolling/ Mobile/ Mechanical Asset Transportation The EAM for Transportation Value Realization Framework Copyright 2014 Accenture. All rights reserved. 12

The Vision: How Will We Operate In the Future? Real-Time Data Sources 20 Year Forecast 5 Year Operating and Capital Budget Real-time and historical scorecard and KPIs Operations and Capital Planning measures Integrated Data Warehouse! Field and Depot Crews OT Dashboard Headquarters Engine Terminal Receive Alert Facility 1 OT Dashboard Facility 2 Perform Service Capture Data and Update Records OT Dashboard Rail Control Center OT Dashboard OT Dashboard Maintenance Shop Procurement, Logistics and Materials Capital OT Dashboard Construction Copyright 2014 Accenture. All rights reserved. 13

The Result: Integrated Data For Improved Analysis and Decision Making Asset KPIs Finance and Accounting Dashboard Dynamic Geographic Analysis Real-time Equipment Monitoring Copyright 2014 Accenture. All rights reserved. 14

Key Success Factors for your Data Transformation 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 Copyright 2014 Accenture. All rights reserved. 15

Thank You! To learn more about how to optimize and integrate your transit data and technology, contact: Herbert Higginbotham Accenture Transit and Tolling Services Herbert.higginbtham@accenture.com 310-726-2009