CDOT Performance Data Business Plan - Cambridge Systematics
CDOT Performance Data Business Plan - Cambridge Systematics
CDOT Performance Data Business Plan - Cambridge Systematics
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<strong>CDOT</strong> <strong>Performance</strong> <strong>Data</strong> <strong>Business</strong> <strong>Plan</strong><br />
– Facilitate consistent reporting of information.<br />
– Develop a communication plan to market the impact and benefits of data<br />
governance to the Department. This may be needed earlier in the<br />
process.<br />
There are clearly some risks that need to be overcome in the development and<br />
implementation of a <strong>Data</strong> Governance approach. These risks include:<br />
<br />
<br />
<br />
This will result in a culture change for <strong>CDOT</strong>, which there may be resistance<br />
to change in the way data is currently managed at <strong>CDOT</strong>.<br />
The potential for ill-defined roles for regions.<br />
Need a better way to enact and enforce policy – top down. If the policy is<br />
related directly to performance management, it will be more successful.<br />
Need to ensure ongoing <strong>CDOT</strong>/OIT support of SAP’s performance database.<br />
The above steps assume that <strong>CDOT</strong> managers have been convinced of the need<br />
for data management/governance. However, some work may still be necessary<br />
related to this vital condition. NCHRP 666 contains an entire section related to<br />
establishing the need for data management/governance. Following are some<br />
relevant excerpts for <strong>CDOT</strong> to consider:<br />
“The need and urgency for data management improvements are not always shared<br />
across all levels of an agency. In some cases, a senior manager within the agency<br />
identifies the need and in other cases individuals at lower levels recognize the value of<br />
improved data management. Nevertheless, a clear case must be established to secure<br />
resources and commitment to proceed with a data management improvement strategy.”<br />
A key success factors related to establishing the need for data governance is:<br />
Demonstrate the Return on Investment (ROI) to the organization regarding the use of<br />
data management and data governance in order to gain buy-in from executives and<br />
decision-makers. Demonstrate with specific examples how the use of data governance can<br />
meet the goals and targets most important to executives.<br />
ROI can be determined in many ways and on many levels within an organization. For<br />
instance, in a Highway Safety Improvement Program (HSIP): a) from the perspective of<br />
the HSIP Statewide Coordinator, an investment in more resources (e.g., people,<br />
technology, tools), may lead to the ROI of an improved HSIP strategic plan; b) for traffic<br />
and safety engineers, an investment in Global Positioning System (GPS) field inventory<br />
projects may lead to the ROI of improved crash locations; and c) for the Highway Safety<br />
<strong>Plan</strong>ning Agency, an investment in electronic data collection may lead to the ROI of<br />
improved quality of crash records.<br />
ROI also can be realized across business functional areas within an agency or across<br />
agency boundaries. In the highway crash safety example, a) for law enforcement<br />
personnel, an investment in electronic crash data collection and submittal may lead to the<br />
ROI of reduced time to complete the accident investigation and review; b) for<br />
maintenance and operations personnel, an investment in digital imaging capabilities may<br />
lead to a ROI of quicker and less costly asset management inventory and reduced cost to<br />
<strong>Cambridge</strong> <strong>Systematics</strong>, Inc. 4-19