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Data Management: Definition, Functions, and Challenges

Data Management

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In a company, you must be familiar with the concept of management. Management is the concept of how to manage and organize something. There are various types of management concepts in a company, one of which is data management.

Data management is very important for companies because it provides various kinds of convenience for companies in processing incoming and outgoing data. Data management includes various aspects such as processing incoming data, storing data, categorizing data, and deleting data that is unnecessary or included in the list of dangerous data.

Data management is very often found in various forms of digital data processing. This helps companies from various industrial sectors to realize effective administration and performance based on complete data.

Let's take a closer look at data management in this article. You will explore data management from the definition and concept of data management, to the challenges and objects of data management.

Definition of Data Management

Let's explore the definition first. What is data management? You must have come across this concept many times in your company either consciously or unconsciously. In general, data management is a concept that includes the preparation and process of managing large amounts of data in various forms.

This preparation and process includes designing data management patterns, data categorization, and the execution process by a software that is tasked with managing the entire data.

As you know, this type of management process can usually be found digitally. So, almost all types of management exist in digital form. Specifically, it concerns the use and security of organizational or company data. 

Therefore, you need a specialized application for companies that is able to carry out this management concept effectively and in a planned manner.

Data Management Function

If you are thinking why data management should exist in a company? Or why is data management important for the sustainability of the company in doing data processing? Then there are several functions that can answer your question. Here are the functions of data management in general.

1. Increase Company Profit

By doing data management, companies can analyze the data available and stored in company data storage. So that companies can provide data information that suits their needs and ultimately improve the quality of decision making that leads to increased company revenue.

2. Reduce Data Input Error

Incomplete data will lead to misunderstandings and not convey information to consumers. Companies that implement a good data management concept will reduce the percentage of data inconsistencies that harm both the company and customers.

3. Fulfill Company Regulations

Each company has its own regulations. This includes regulating the data management and security system. These company regulations and data security will be achieved faster if the company uses an application system that fulfills all concepts in data management. 

This is because any customer can legally sue if the company does not fulfill any of the regulations that have been set.

4. Data Management Object

Now that you know the functions of data management, you need to know what objects are the objectives of data management in a company or organization. In this article, we have summarized some important objects that are the purpose of data management. Here is the explanation one by one.

5. Data Quality

Every data has a user experience that you should pay attention to. Such as the length of access, the ease of accessing it, and the security system for customers to receive and send data. The company will make data quality as one of the objects for which data management is carried out in several data sectors.

6. Data Distribution and Consistency

In addition to data quality, one of the objectives of data management is the data distribution process and its consistency from customers to companies and vice versa, from companies to customers for certain needs. A company that implements a good data distribution system to customers and is easy to understand will have higher credibility.

7. Big Data Management

For those of you who don't know what big data is, big data is data that is collected at a high speed in a short period of time. An example of data management in this case is the management of a good video news feed that has high insight to customers.

8. Data Architecture and Modeling

A data must have a clear and organized composition and structure. This is for the convenience of communication between the company and customers. Data management must take care of this object by grouping data according to the needs of the company to achieve targets effectively and on target.

9. Data Governance

We come to the most important object in this management, the data governance system. A data governance system is something complex that must provide convenience in access, delivery, storage, and data security that clearly benefits the company and its clients. An example of data management related to data governance is a good data delivery system.

Data Management Challenges for Enterprises

Now that you know how data management objects and their groupings and applications are, you should know what challenges you have to face when doing appropriate data management and giving your company an impact on the trust of each of its customers. Here are the challenges that must be faced.

1. Scale and Performance

One of the challenges of data management is that you have to scale and check the performance of every employee and every division. This process requires a long time and complex execution. This data management challenge requires you to coordinate with all teams involved.

2. Requirements According to Customer and Company Needs

You also have to adjust the existing concept and data management system with the terms and conditions that apply based on agreements with customers and with your company regulations. So there must be regular and thorough checks.

3. Employee Training

A continuation of the previous data management challenge, this time you have to train the employees in charge to adapt to the agreed data processing system. So that there is no miscommunication between employees in the process of processing data to customers.

4. Optimization and Cloud Computing

Next you should perform optimization and customization cloud computing carefully and carefully. This must be done as a form of maintenance of existing data in the company. 

Closing

This is the explanation of this article on data management. You already know about data management in detail starting from the definition of this management in general and specific, the functions of data management, to the challenges and what you should do to create a good and effective data management system. 

With data management, all company work related to data will be easier and provide greater profits for the company in the long run.

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