Developing A Traffic Data Performance Measure Program
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1 Developing A Traffic Data Performance Measure Program A Data Business Plan Approach Jack Stickel Alaska Department of Transportation and Public Facilities
2 Private Sector Partners Cambridge Systematics Berkley Transportation Systems IBM - Cognos 2
3 Why a Data Business Plan traffic data performance measure program makes sense How we approached the traffic data performance measure program How we deployed the traffic data performance measures using business intelligence software Where do we go from here? 3
4 Why a Data Business Plan traffic data performance measure program makes sense How we approached the traffic data performance measure program How we deployed the traffic data performance measures using business intelligence software Where do we go from here? 4
5 Data Business Plan Concept of Operations completed Sep 2005 Implementation Plan Data governance Information Technology Real-time operational data Risk management Knowledge management Performance measures Standards 5
6 The Approach We Took Concept of Operations Documents the physical infrastructure of existing data programs Identifies how data management programs fit into ADOT&PF s missions and responsibilities Provides expectations regarding needs and vision for future data programs using scenarios 6
7 Trace to Mission & Core Services 7
8 Why a Data Business Plan traffic data performance measure program makes sense How we approached the traffic data performance measure program How we deployed the traffic data performance measures using business intelligence software Where do we go from here? 8
9 Analysis & Development 9
10 Systems Engineering Treated as an Intelligent Transportation System (ITS) project Maps data programs to the statewide and national ITS architectures Examines the entire life cycle of data programs Uses a systems engineering process (SEP) 10
11 ITS Systems Engineering Process 11
12 Deployment Alignment Target measures to level in organization: Work center: Truck & Traffic Division: Program Development Program: Highway Safety Improvement Complements Health of the Network reports Meeting stakeholder needs Metrics to demonstrate progress Strategies to achieve end results Validation to adjust business processes 12
13 Performance measures based on stakeholder user needs Addresses six data quality criteria: Accuracy Validity Completeness Timeliness Coverage Accessibility The Approach We Took 13
14 The Approach We Took 14
15 The Approach We Took 15
16 The Approach We Took 16
17 Why a Data Business Plan traffic data performance measure program makes sense How we approached the traffic data performance measure program How we deployed the traffic data performance measures using business intelligence software Where do we go from here? 17
18 Performance Measure Software Cognos Business Intelligence IBM Cognos 8 Business Intelligence Reporting Analysis Dashboards Scorecarding Reference year: state, federal, calendar Manual & automated reports Planning & IT are partners in deployment 1 st generation effort still in learning process 18
19 Implementation Steps Establish framework for each performance measure in COGNOS Metric Studio: Qualifiers for station and year Target and tolerance by month for each measure Monthly performance metric hand entry Reports: PDF HTML 19
20 TMS-002 Region Metrics 20
21 TMS-006 Metrics 21
22 TMS-005 System Metrics 22
23 TMS-005 Fox Metrics 23
24 Complements Existing State/Dept Program END RESULT A: Increase Traffic Data Program efficiency TARGET #1: Decrease the time for Headquarters to verify the previous months PTR data to 6 days MEASURE #1: Number of days for Headquarters to verify the previous month s PTR data TARGET #2: Decrease the time for each region to verify the previous month s PTR data to 14 days MEASURE #2: Number of days for each region to verify the previous month s PTR data Strategies to Achieve End Result A1: Increase field data collection device reliabiltiy TARGET #1: Increase the WIM system operational capability to 95% MEASURE #1: The percent of WIM sites that are operational each month TARGET #2: Decrease the number of days down time for each WIM site to less than 10 percent per month MEASURE #2: Number of days that each WIM site is operational each month 24
25 Why a Data Business Plan traffic data performance measure program makes sense How we approached the traffic data performance measure program How we deployed the traffic data performance measures using business intelligence software Where do we go from here? 25
26 Traffic Performance Measure Setup Process Input daily, weekly, periodic data into any type of data source: Excel, Access, Oracle Summarize data by month Export file in BI software format Run metrics reports and deliver to stakeholders: Execution: manual or automated Delivery: , html, pdf 26
27 Traffic Performance Measure Analysis of Results - Yearly Emerging trends Contrast to historical or larger scale data Notable highs and lows Challenges Visual progress report table, chart 27
28 Expand Program Deploy COGNOS instances for state, federal, and calendar years Automate metric reports Develop analysis of results Deploy remaining performance measures Integrate with Health of the Network reporting Adjust targets if exceeding 3 consecutive years, raise them Establish stakeholder feedback process Pass metrics to COGNOS dashboards Complete Data Business Implementation Plan 28
29 Traffic Data Performance Measures Lessons Learned Phased, iterative approach stakeholder feedback Measure, target, and focus refinement Integrate with existing business processes to limit additional work particularly true in work centers Dynamic flexible program to adjust measures and targets to meet DOT needs and programs Benefit/cost effective tool to identify progress and trends, How are we doing? 29
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