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Lets Talk About Data!#PoweredByPowerCoalitionProgressive Data Management #PoweredByPowerCoalitionProgressive Data ManagementWhat is Progressive Data Management? a way to pull out meaning and value
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01
Identify what data you have and its sources.
02
Determine the storage methods for your data.
03
Establish data governance policies.
04
Implement processes for data collection and entry.
05
Ensure data quality through validation and cleaning.
06
Define access controls and permissions.
07
Establish protocols for data sharing and integration.
08
Create backup and recovery plans.
09
Regularly review and update your data management strategies.

Who needs what is data management?

01
Businesses seeking to leverage data for decision making.
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Organizations focusing on compliance with regulations.
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IT departments managing data storage and security.
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Marketing teams analyzing customer data.
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Researchers needing accurate and reliable data.
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Data analysts responsible for interpreting data.
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Any entity looking to improve efficiency and effectiveness through data utilization.
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Data management refers to the practice of collecting, storing, organizing, and maintaining the data created and collected by an organization. It ensures that data is accurate, accessible, and secure.
Typically, organizations that handle or process large volumes of data, including corporations, non-profits, and government agencies, are required to implement data management practices.
Filling out the data management documentation generally involves identifying data sources, determining data storage solutions, creating data processing procedures, and implementing data governance policies.
The purpose of data management is to ensure that data is available, accurate, and secure, facilitating better decision-making, compliance with regulations, and improving operational efficiency.
The information that must be reported typically includes data inventory, data governance policies, data security measures, and compliance with applicable data regulations.
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