Data Management

Data Management is the process that includes acquiring, validating, storing, organizing, and maintaining data to ensure data is accurate, reliable, easily accessible, and timeliness.

Importance of Data Management

Data on organizations that amount to thousands or even millions is a vital asset for organizations. Data can be used to make more-informed business decisions, improve effective marketing campaigns, optimize services, and increase profits for the organization. But if there is poor Data Management, there will be many problems such as Data Silos, Data Quality problems, inconsistent data, and even data loss. Data loss can be disastrous for an organization. A proper Data Management system will reduce the risk of losing important information.

Data Management Tools

Many types of technology can be used in managing data. Here are some systems that are effective and often used,

• Database Management System (DBMS) The most commonly used Database Management System is the Relational Database System. This system organizes data become rows and columns containing records in the database and different tables can be linked using primary keys and foreign keys. With this system, organizations can access it more easily.

• Data Integration Data Integration is the process of combining data from many sources into one central storage such as Data Warehouse. Data goes through the process and convert into a consistent format then the integrated data will be loaded into the Data Warehouse.

• Data Modelling Data Modelling is the process of producing and developing a descriptive diagram of the relationship between various types of information to be stored in the database. The Data Modelling goal is to provide the most effective storage and complete report access.

Data Management Challenges

Challenges faced in developing a good data management varies by case. Those problems can be grouped into three as seen below:

• Overwhelming volume of data There are 2.5 quintillion bytes of data are created by people each day. As a result, organizations encounter new challenges. According to new research from InterSystem, a global leader in database management, more than half (51%) of senior decision-makers feel overwhelmed by their organization’s data. And increased to 61% of those working in companies with more than 1000 employees. The more data, the more monitoring, and validation are required to ensure the data remains completeness.

• Data Quality Data Quality is a problem that is often encountered by many organizations and companies. Maintaining Data Quality becomes difficult when updating information using a database and end up wasting unnecessary data while continuing to maintain high-quality data. Often the data stored is out of date, incorrect, or malfunctioning so it is very important to have sufficient data quality standards.

• Lack of Process and System Inadequate processes and systems lead to frequent inconsistencies and inaccuracies when data is collected from many sources. As a result, the quality of the data becomes poor and does not qualify the criteria.

Benefit of Data Management

Effective Data Management can help companies prevent data breach and data privacy issues. A good and well-planned data management strategy will usher the organization to achieve much profit as possible. Well-managed data by organizations can agilely spot opportunities for new market trends and take advantage of these opportunities to progress faster. Accordingly, organizations obtain a potential competitive advantage over their rivals.

Implementation of Data Management

The need for Data Management in Healthcare is very important to keep data safe and private. It is estimated that each year, 1 patient generates more than 80 megabytes of data. The US Department of Health and Human Services (HHS) issued National Standard HIPAA Privacy Rules to protect patient health data stay private and not exposed without the patient's consent.