Data Management: The Beginner's Guide

With the advent of modern technologies, any company or organization has more access to a large amount of data than ever before in human history. So much so that data has become the most valuable capital in the current time. This available data builds the foundation of decision-making and business action. However, the availability of the data is not enough; it also needs to be managed efficiently. Let's dive deeper into the whole concept of data management.

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What is Data Management?

Data Management is the practice of utilizing all available, collected, arranged, and stored company data by closely analysing it and getting an insight into the needed business decisions. As organizations become more dependent on data-oriented insights and decisions, it becomes vital to implement suitable data management solutions to make sense of the available data.

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Different Types of Data Management

The data management process can be differentiated into various parts and employed through multiple means.

• Data Preparation: It is used for cleaning and moulding the raw data into meaningful analysis according to the company's requirements. 
• Data Pipeline: data automatically transfers from one system to another through the data pipeline.
• Data Warehouse: As the name suggests, the data warehouse is where all the accumulated data is stored and sent for analysis through a clear data route. 
• Data Catalog: It assists in creating a complete picture by managing the metadata and also makes the data easily accessible. 

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What Makes Data Management So Important?

Data Management is the crux of the process of making some vital sense of the available data by analyzing it for the intended purpose. 

• Visibility: With the effective implementation of data management, any company can augment the visibility of available data and hence, make the data handier, for analyzing purposes and increase the overall productivity of the company.
• Reliability: Data management makes the decision-making capabilities of data analysis more reliable by minimizing the margin of error because of the organized and streamlined process of data analysis. It builds confidence and reliability in the data-oriented decisions in an organization. 
• Security: Proper data management makes the data more secure and protects the organization's data from all kinds of losses and thefts. Nowadays, the security of data that contains personally identifiable information of the customers is of utmost importance as its theft could put the company in severe legal trouble.

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