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Effective Data Management to Attract More Funding and Grow Operational Capacity Ken Tillman 6512 Consulting Group www.6512consulting.comAgenda Review challenges associated with data management Specifically
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How to fill out effective data management to

01
Identify the purpose and goals of your data management.
02
Determine the types of data you need to collect and store.
03
Establish clear data management protocols and procedures.
04
Implement a reliable data storage system.
05
Ensure data security and privacy measures are in place.
06
Regularly clean and organize your data to maintain accuracy and relevancy.
07
Implement data backup and disaster recovery mechanisms.
08
Train and educate your team on effective data management practices.
09
Continuously monitor and evaluate your data management processes for improvement.

Who needs effective data management to?

01
Businesses of all sizes, as effective data management helps in making informed decisions, improving operational efficiency, and ensuring compliance with regulations.
02
Research institutions and academic organizations, as proper data management is crucial for maintaining data integrity and facilitating collaborations.
03
Government agencies and public sector organizations, as they deal with large volumes of sensitive data that need to be managed securely and efficiently.
04
Healthcare providers and organizations, as effective data management is essential for maintaining patient records, ensuring HIPAA compliance, and improving healthcare outcomes.
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Non-profit organizations, as they often collect and analyze data to assess the impact of their programs and improve resource allocation.
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Individuals who want to organize and secure their personal data, such as financial records, photos, and documents.
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Effective data management refers to the process of organizing, storing, and utilizing data in a way that maximizes its value.
All organizations that collect and handle data are required to implement effective data management practices.
Effective data management can be achieved by following data governance policies, employing data quality tools, and regularly updating and maintaining data.
The purpose of effective data management is to ensure data is accurate, secure, and accessible for decision-making and operational purposes.
Information reported on effective data management may include data quality metrics, data governance policies, and data security measures.
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