Discover how Data Management can boost the economic results of companies. Is your company prepared for effective data management?
In the 21st century, data has become an invaluable resource. In an increasingly digitized world, every interaction, transaction, and activity generates massive data that has become critical to organizations and decision-making.
Data is the new currency, and its correct use can make the difference between business success and stagnation.
The correct use of data is one of the greatest competitive advantages for companies, and having professionals capable of adequately treating these is really important for companies.
Through the ISDI Data Management Executive Program, managers, executives, and professionals from the business world will obtain the necessary tools to provide their companies with a solid strategy based on data management.
What Exactly is Data Management?
Data Management, or data processing, refers to a set of practices, technologies, and processes used to manage data within an organization effectively. It consists of organizing, storing, protecting, securing, integrating, and managing data from various sources to ensure its quality, accessibility, and usefulness.
Thanks to these practices, it is possible to have a unified vision of all the company’s data to use efficiently, guaranteeing precision and coherence when establishing strategies.
Making the vast amounts of data businesses use helpful takes a lot of work. The massive accumulation of data can cause duplicates, losses, or other conflicts that can lead to its misuse.
Through good data management, a multitude of benefits can be achieved that will provide the company with a more efficient strategy:
- It can increase the employees’ productivity as no duplicate work would be done.
- Improves the economic efficiency of the company.
- It processes data quickly and saves space by keeping only useless information.
- Better decision-making is carried out since more accurate and precise information is available.
What Tools does Data Management have?
Several disciplines and tools are included within Data Management. Through these strategies or practices, it is possible to use the data more effectively and with better results. Therefore, we tell you the terms you should know:
Data Governance
Data Governance, in Spanish, is a process that consists of managing the availability, usability, integrity, and security of data in a company’s systems. Its goal is to ensure that the data is consistent, reliable, and used appropriately.
Data Architecture
Data architecture or Data Architecture is a discipline responsible for describing how data is to be managed, from its collection to its use. This is an essential practice for data processing operations.
Data Modeling and Data Design
Data modeling is a process by which an information system is represented visually, showing the connections, patterns, or structures that can be generated from the data. These types of data models are built around the needs of a business.
Data Design is converting the logical data model into a physical design, making it tangible and real.
Data Storage
Within data management, we find Data Storage or data storage, a discipline responsible for defining what, how, and when different data is stored. Today we work with such a large amount of data that a storage strategy is essential to use it correctly.
Data Security
Data Security aims to protect a company’s information. Through this discipline, a series of access controls are implemented that limit those who can access the data. Thanks to these systems, it is possible to easily detect who is accessing and whether or not it is an authorized person.
Data Integration
Data integration or Data Integration consists of the collection of data from different sources within the company to ensure that the data is accurate and complete. In addition, thanks to the integration, it is possible for any department to perform data queries and do analytics.
Data Warehousing
Data Warehousing is the process of extracting and filtering data from the operations commonly obtained within a company. Its objective is to convert operational data into related and structured information to make its use much easier and more efficient.
Data Quality
Data Quality is the work of collecting and normalizing information so that the data can be filtered to avoid duplicates or incorrect or unnecessary data being saved. A person dedicated to this discipline also has the task of following up to control the entire process.
Understanding the management of this methodology and its tools will be crucial to carry out comprehensive control of the company’s information and understanding the behavior of the new stage of the Data Age; therefore, obtaining complete training will be essential.
