Welcome to the TPM CMM Component D: Data Usability and Analysis – Maturity Assessment.

This tool allows transportation agencies to assess their TPM capabilities and identify areas where they can take steps to improve these capabilities. The capability maturity model contains 10 components. This assessment covers the tenth component.

Component D. Data Usability and Analysis

Data Usability and Analysis is the existence of useful and valuable data sets and analysis capabilities available in accessible, convenient forms to support transportation performance management. While many agencies have a wealth of data, they are often disorganized, or cannot be analyzed effectively to produce useful information to support target setting, decision-making, monitoring or other TPM practices.

Data Usability and Analysis is divided into the following sub-components:

  • Sub-Component 1.1. Data Exploration and Visualization
  • Sub-Component 1.2. Performance Diagnostics
  • Sub-Component 1.3. Predictive Capabilities

For each sub-component, there are five possible maturity levels with the following definitions:

  1. Initial
  2. Developing
  3. Defined
  4. Functioning
  5. Sustained

The specific criteria for a particular maturity level depend on the sub-component.

Based on the provided criteria, the user is asked to rate how well the agency meets the criteria as follows:

  • Totally Disagree
  • Somewhat Disagree
  • Somewhat Agree
  • Totally Agree

Once you have finished providing input, an overall maturity level is assessed for the component. Based on the assessed maturity level, assessment results include links to relevant sections of the TPM Guidebook for more information on how to advance TPM practice.

D: Data Usability and Analysis

For each row, click the description that best matches your capabilities.

Level 1Level 2Level 3Level 4Level 5
D.1 Performance Data Exploration and Visualization
Limited tabular performance reports may exist. There are no ad-hoc query or drill down/roll up capabilities.
The agency is exploring needs and opportunities for improving capabilities for data exploration and visualization. Pilot initiatives may be underway.
Requirements have been documented for performance data reports and views needed by different classes of users. Tools and technologies for providing these data views are in place.
Reports, dashboards, map interfaces and query tools are available and have been configured to meet needs of different users. Performance data can be viewed in a variety of ways: summary statistics, bar and pie charts, trend lines and map views. Agency employees have the ability to easily visualize trend information on performance together with explanatory factors such as VMT.
The agency routinely improves data exploration and visualization based on feedback from users.
D.2 Performance Diagnostics
Information is not readily available for identifying root causes of performance results.
The agency is identifying supplemental data needed to improve performance diagnostic capabilities. Potential data sources are being investigated, including those that help explain results achieved by a particular project or action; and those that help explain system-level performance results.
The agency has identified available supplemental data needed to provide insight into root causes for project and system-level performance results. Performance reports have been modified to include these data or supplemental reports have been developed.
Agency staff regularly review supplemental data along with performance results and use these data to understand root causes at the project and system level.
Supplemental data are regularly refined and augmented based on feedback from users. The value of diagnostic information is continually being improved.
D.3 Predictive Capabilities
A methodology for predicting future performance has not been developed.
A methodology for predicting future performance is under development. Models and analytical tools are being developed or implemented.
Capabilities for predicting future performance under different scenarios are in place, but have not been fully tested.
Predictive capabilities are in place and have been utilized as part of performance-based planning and programming for at least one cycle. Predictive capabilities incorporate consideration of risk factors.
Scenario analysis has been applied through multiple planning and programming cycles. Agency managers and external stakeholders rely on predictions of future performance to set priorities and allocate resources.

Overall Score: 0