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Data Modernization Workforce Acceleration Initiative (WAS)Date Issued: June 3, 2024, Due Date: Please complete the written application no later than Friday, June 28, 11:59 PM PST (Pacific Time)CDC
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How to fill out data modernization workforce acceleration

01
Identify the current workforce skills and capabilities that need to be modernized.
02
Assess and prioritize data modernization needs within the workforce.
03
Develop a training plan or program that targets the identified skill gaps.
04
Leverage technology and tools to accelerate the workforce modernization process.
05
Monitor and track progress to ensure successful implementation of the data modernization workforce acceleration.

Who needs data modernization workforce acceleration?

01
Businesses looking to stay competitive in the digital age.
02
Organizations seeking to improve data management and analytics capabilities.
03
Companies aiming to increase efficiency and productivity through workforce development.
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Data modernization workforce acceleration refers to the initiatives and strategies employed to enhance the skills and capabilities of the workforce involved in managing and utilizing data, enabling organizations to effectively transition to modern data practices and technologies.
Organizations involved in data management and modernization efforts, particularly those receiving federal funding or engaging in large-scale data projects, are often required to file for data modernization workforce acceleration.
To fill out the data modernization workforce acceleration, entities must gather relevant information about their workforce, data initiatives, and skills development goals. The form usually requires details on current workforce capabilities, planned training programs, and alignment with modernization objectives.
The purpose of data modernization workforce acceleration is to ensure that organizations have a skilled workforce capable of leveraging modern data technologies and practices. It aims to bridge the skills gap, promote efficient data management, and enhance the overall effectiveness of data-driven decision-making.
Reported information typically includes data on workforce demographics, current skill sets, training needs, specific modernization goals, and planned interventions to address skill gaps.
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