Data Management: a gentle introduction: Balancing theory and practice


Price: $53.94
(as of Dec 01,2024 23:50:50 UTC – Details)




Publisher ‏ : ‎ VanHarenPublishing (March 3, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 300 pages
ISBN-10 ‏ : ‎ 9401805504
ISBN-13 ‏ : ‎ 978-9401805506
Item Weight ‏ : ‎ 1.4 pounds
Dimensions ‏ : ‎ 6.69 x 0.68 x 9.45 inches


Data management is a crucial aspect of any organization’s operations, as it involves the process of collecting, storing, organizing, and analyzing data to make informed decisions and drive business growth. However, many businesses struggle to find the right balance between theory and practice when it comes to managing their data effectively.

In this post, we will provide a gentle introduction to data management, exploring the key principles and best practices that can help businesses strike a balance between theory and practice in their data management efforts.

1. Understanding the basics of data management: Data management involves a series of processes that aim to ensure the accuracy, reliability, and accessibility of data within an organization. This includes data collection, storage, organization, analysis, and dissemination.

2. Importance of data governance: Data governance is the framework of policies, processes, and procedures that ensure data is managed effectively and securely within an organization. By establishing clear guidelines for data management, businesses can ensure data quality, integrity, and security.

3. Balancing theory and practice: While it’s essential to understand the theoretical principles of data management, it’s equally important to apply these concepts in practice. Businesses should invest in the right tools and technologies to collect, store, and analyze data effectively while also ensuring that data governance policies are followed.

4. Data management best practices: To strike a balance between theory and practice in data management, businesses should follow best practices such as data quality assurance, regular data backups, data validation, and data security measures. By implementing these practices, businesses can ensure that their data is accurate, reliable, and secure.

In conclusion, data management is a critical aspect of any organization’s operations, and striking a balance between theory and practice is key to effectively managing data. By understanding the basics of data management, implementing data governance policies, and following best practices, businesses can ensure that their data is accurate, reliable, and secure, ultimately driving business growth and success.
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