Benefits of using a data management system

Last but not least, a management system supports receive solutions immediately to database queries so that data can be approached accurately. End-users such as salesmen will be able to approach data to boost sales cycle.

 Consistent data which adheres to regulations

First of all, let’s talk about data consistency. Data inconsistency takes place when various versions of the same data are present in a wide variety of spots in a company. Thanks to a suitably data management system and data quality management tools, users can make sure that all encompassing view of their data would be accessible via the whole business.

Moreover, data management systems also offer a better framework regarding data privacy and security regulations. The more effective data management is, the better transparency would be. Last but not least, the problems of breaching regulations can be minimized as well.

Improved data sharing

Another advantage of data management approach is that it will help set up an environment in which end users can gain access to well-managed data easily. Such approach helps end users adapt to the changes in their environment quickly and conveniently.

Improved data security

The more people approach to the data, the more likely the risks of data security breaches are going to occur. Companies have had to make a big investment into not only money but also time and effort to guarantee that their data is used in a suitable manner. In this case, a database management system comes with a framework making sure data privacy and security policies.

Better data integration

More approach to good data will lead to an integrated view of the company’s operations and a better view of the big picture. Your employees will find it much easier to take a look at how actions in one department of your organization have an impact on other segments.

Better data access

What is more, the database management system helps produce quick answers to ad hoc queries. From a database view, a query is a particular request related to the database management system for manipulating data. For instance, it can be used to read or update the data. To simply understand, the database management system will deliver an answer back to the application, which is known as the query result set. For instance, end users, when handling large amounts of sales data, may want to get quick answers to the questions like what the dollar volume of sales by product within the last 2 months is, what the sales bonus figure for each salesperson last month is or how many clients have credit balances of 3000 and more.

Improved decision making

Well-managed data and improved data approach will help generate information of higher quality by which decision makers can base to make better decisions. The quality of data generated will rely on the quality of the underlying data. Data quality is a comprehensive approach boosting the accuracy and validity of the data. In spite of the fact that the database management system will not make sure the quality of data, it offers a framework that facilitates data quality initiatives.

Thanks to data management systems, the information quality is made better. In conclusion, a data management system provides users with a framework on which a company can make better decisions in an effective and quick manner.

Increased end-user productivity

The availability of data, together with the tools transforming unstructured data into usable information, would empower end users to generated quick and informed decisions that can make significant difference between success and failure in the global economy.

Deploying a database management system will always lead to higher productivity for the users. Better and more informed decisions can make a big contribution to the development of a company in a long term.

We have seen a lot of benefits of data management systems. However, in spite of the fact that we can not deny how effective a database management system is, it also comes with some limitations or drawbacks. Let’s take a look at the following disadvantages of database management systems.

Higher costs

First of all, a prominent disadvantage of database management systems is that they ask for complicated software, hardware as well as experienced engineers. The cost spent on maintaining the hardware, software and employees needed to operate and control a database system would be rather substantial. The cost of training, licensing and regulation compliance is often underestimated when organizations start to adopt database systems.

Management sophistication

Database systems deal with a lot of technologies and leave a big impact on the resources and culture of a company. The changes resulted from the implementation of a database system would be managed well in order to make sure that they help improve the goals of a company. Also, as database systems are responsible for storing important company data which are approached from various sources, security issues should be prioritized.

Maintaining currency

In order to maximize the effectiveness of the database management system, users must keep it current. Thus, they have to carry out regular updates and implement the newest patches as well as safety measures to all parts.

In addition, as database technology improves very quickly, personnel training fees would be really high. This will lead to the dependence on provider. Due to the heavy investment in technology and personnel training, vendors often offer high pricing point to their customers.

Regular upgrade or replacement cycles

Database management system providers often upgrade their products by placing more functions into them. Such new features are often integrated in the new versions of the software. Some of these versions ask for hardware upgrades. These upgrades will cost money but it also required for expenses on training database personnel to user and control the new features correctly.

The right database management systems will assist in developing the accessibility to data in the company, which will support end users to share the data efficiently and fast throughout the entire company


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