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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

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