Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter.
Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 106
II-36 Guide for Target-Setting and Data Management
A Data Business Plan helps to do the following:
· Establish goals;
· Assess Agency Data programs;
· Establish Data Governance;
· Ensure proper use of technology/tools; and
· Link Data management to Performance Measures and Target Setting.
Some agencies may choose to implement parts of this list or simply set up and maintain stew-
ardship and governance policies.
The following sections provide more detailed guidance related to these steps.
2.2 Establishing Goals for Data Management
As with any typical planning process, defining stakeholders and setting goals are important
first steps. In most cases a champion is responsible for starting this planning process.
The success factors for planning for data management are the following:
· Start with a smaller achievable goal when implementing data governance within an organiza-
tion and build on small successes to address larger agency goals.
· Use a Data Business Plan to strategically manage data programs similar to other strategically
managed programs within the organization.
· Manage expectations of how data governance can help an organization by explaining the ben-
efits of such models for supporting business operations.
· Use Business Models to help executives and managers better understand the relationship
between target setting and decision-making.
· Identify champions from Business and IT sides of an organization to support key systems.
Partnerships between both areas are critical to successfully managing data programs.
Success factors for Data Management:
· Start small with achievable goals;
· Use a Data Business Plan;
· Manage Expectations;
· Use Business-Use Case Models; and
· Identify Champions.
Recognizing areas for improvement is a key first step in being able to establish goals for a data
program. Brainstorming sessions with affected stakeholders is a very effective way to identify
both problems and solutions related to data programs. The brainstorming should lead to the
establishment of a vision and set of goals for the process.
It also is critical to relate the goals of the data programs to the business objectives of the agency
as a whole. This is accomplished through the following steps:
· Step 1--Identify the business objectives of the agency.
· Step 2--Identify the business functions or services of the agency that support the business
objectives.
