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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 />

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Methods of enacting and enforcing policy and procedure are not consistent at<br />

<strong>CDOT</strong> (and possibly even ignored.)<br />

There is a great deal of data at <strong>CDOT</strong>. The agency needs to be more efficient<br />

in reporting it, more standard/universal methods to report and avoid<br />

variations.<br />

There are opportunities to reduce the redundancy of data (i.e., both<br />

Maintenance and Pavement collecting the same data items.) In some cases,<br />

there are several offices collecting the same data. For example, it was<br />

recently discovered that several units are all going into the field and<br />

collecting the same asset data (culverts and fences.)<br />

<strong>CDOT</strong> needs a repository/library for information to reside in and standard<br />

ways to report.<br />

There is a disconnect with respect to data, i.e., different branches own<br />

different data which makes it difficult to establish performance measures.<br />

In summary, <strong>CDOT</strong> is clearly in need of an improved structure to reduce<br />

redundancy in data collection, clarify/standardize terms/definitions used,<br />

clarify roles and responsibilities, and identify and prioritize stakeholder needs<br />

for data.<br />

This improved governance will result in improved sharing of data and<br />

information, improved input to the performance reporting process, improved<br />

ability to fund/prioritize new data programs, ability to measure the right things<br />

at the appropriate level of detail, take advantage of newer technology and tools,<br />

facilitate integration of data and ensure quality decisions are made based on<br />

informative data.<br />

4.3 RECOMMENDATIONS AND TIMELINE<br />

This project provides <strong>CDOT</strong> with a unique opportunity to recommend specific<br />

steps to carry out successful data management through a data governance<br />

approach. The timing is ideal, as the information technology management team<br />

(ITMT) has been engaged in recent discussion regarding improvements in data<br />

including data governance and document management systems.<br />

As indicated above, data governance is a method by which successful data<br />

management is accomplished – essentially data governance falls under the<br />

concepts of data management. For example, techniques such as some of those<br />

being discussed by the ITMT (such as document management systems) really fall<br />

more into the realm of data management.<br />

The recommendations in this section pertain to <strong>CDOT</strong> data management needs<br />

with a focus on data governance. Additional recommendations related to data<br />

collection and data assessment are located in Appendix A.<br />

4-14 <strong>Cambridge</strong> <strong>Systematics</strong>, Inc.

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