Performance Details

Department of Labor and Workforce Development - Data Processing

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Mission

The Data Processing component contributes to the department's mission by providing technical, analytical and business specific expertise to assist our customers in efficiently achieving their goals.

Core Services

• Deliver data processing systems and services in support of the department on schedule and within budget.
• Support and enhance the department's information infrastructure.

Mission Results	Core Services
A: Provide satisfactory Data Processing services.  Details > TARGET #1: 90 percent of survey respondents rate data processing services as three or better on a scale of one to five.	A1: Deliver data processing systems and services in support of the department on schedule and within budget.  Details > TARGET #1: All data processing projects produced on schedule. TARGET #2: All data processing projects produced within budget. A2: Support and enhance the department's information infrastructure.  Details > TARGET #1: All production jobs completed successfully.

Performance Detail

Target #1: 90 percent of survey respondents rate data processing services as three or better on a scale of one to five. Methodology: Voice Survey Percent of Customers that Rate Their Satisfaction with Data Processing Services as Neutral or Better (exceeded the 90 percent target in FY2018) Fiscal Year Percentage 3-5 of Total FY 2018 100% FY 2017 100% FY 2016 100% FY 2015 100% FY 2014 100% FY 2013 100% Analysis of results and challenges: A survey of the agency program unit liaisons was conducted. The survey questions focus on how data processing helps the business units perform their missions. Data processing has been successful at maintaining a high level of customer satisfaction.

Target #1: All data processing projects produced on schedule. Methodology: A project tracking log is maintained. Percent of Data Processing Projects Completed on Schedule (achieved the 100 percent target in FY2018) Fiscal Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 YTD Total FY 2018 100% 100% 100% 100% 100% FY 2017 100% 100% 100% 100% 100% FY 2016 75% 75% 75% 100% 81.25% FY 2015 100% 100% 100% 50% 87.5% FY 2014 100% 100% 100% 100% 100% FY 2013 100% 100% 100% 100% 100% Analysis of results and challenges: A log of projects is kept which records the project start date, expected completion date, and the project budget. Each quarter until the project is completed the project work completed and budget cost-to-date percentages are entered. This measure is based on the number of projects on schedule as compared to the total number of projects, including completed and suspended projects. A project is considered on schedule if its percentage complete is consistent with the initial projected completion date or the modified projected completion date due to the broad acceptance of a change to the project scope. Projects that become suspended (work ceases due to lack of resources or funding) are considered on schedule if they were on schedule when work was suspended. When the project resumes, the initial schedule will be revised to reflect a new expected completion date. In FY2018 none of our projects experienced difficulty.

Target #2: All data processing projects produced within budget. Methodology: A project tracking log is maintained. Percent of Data Processing Projects Completed within Budget (achieved the 100 percent target in FY2018) Fiscal Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 YTD Total FY 2018 100% 100% 100% 100% 100% FY 2017 100% 100% 100% 100% 100% FY 2016 75% 75% 75% 75% 75% FY 2015 100% 100% 100% 100% 100% FY 2014 100% 100% 100% 100% 100% FY 2013 100% 100% 100% 100% 100% Analysis of results and challenges: A log of projects is kept which records the project start date, expected completion date, and the project budget. Each quarter until the project is completed the project work completed and budget cost-to-date percentages are entered. This measure is based on the number of projects on schedule as compared to the total number of projects, including completed and suspended projects. A project is considered within budget if the project cost to date is consistent with the initial projected budget or the modified budget due to the broad acceptance of a change to the project scope. Projects which become suspended are considered within budget if they were within budget when suspended. Most of the data processing projects have been small and have been on or under budget.

Target #1: All production jobs completed successfully. Methodology: An automated log of production job results is maintained. Percent of Data Processing Production Jobs Completed Successfully (did not achieve the 100 percent target in FY2018) Fiscal Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 YTD Total FY 2018 99.1% 98.5% 99.7% 98.5% 98.5% FY 2017 98.5% 98.5% 96.0% 97.0% 97.5% FY 2016 99.0% 98.5% 99.0% 93.5% 97.5% FY 2015 97.5% 98.0% 96.5% 97.0% 97.3% FY 2014 98.9% 99.0% 96.5% 98.7% 98.3% Analysis of results and challenges: FY2018 was a fairly stable year, upgrading the mainframe operating system caused a small number of problems. An automated log of production jobs records each production job submitted and includes a completion code indicative of the job's success. Programs have been prepared to access the database and report quarterly the number of jobs submitted and the percentage that succeeded.

Current as of November 20, 2018