10 rules to comply with regulations with data management

[shukla7789]

Transform your business with our 10 Data Management rules. Make the most of your data for informed decisions and business success.
What is data management? What are the fundamental rules to implement in order to extract the maximum value from the available data?



What is data management?
Data management is a set of practices, technologies and policies implemented to manage an organization's information. It encompasses data collection, storage, cleansing, analysis and protection.

This allows for a complete view of different aspects such as customer and supplier relationships, workflows and daily operations to optimize their operation, streamline them and comply with regulations and nurse database standards. The ultimate goal is to guarantee the quality, integrity and availability of data for effective data-driven decision-making.





Among the data and analytics functions that are receiving the most investment in 2023 are data management ( 65% ), data governance ( 63% ), and advanced analytics ( 60% ).

Source: Gartner



How data management works
Data management scoping guidelines govern the use of data management resources. Resources are temporary objects that enable a program to work with data management, and scoping guidelines establish when a resource can be shared by multiple programs or procedures.

Depending on the data management resource used, different levels of scope can be specified:

Call level: Occurs when the data management resource is connected to the created call stack entry.

Group level: Occurs when the data management resource is connected to the activation group associated with the program or procedure invocation that created the resource.

Job level: Occurs when the data management resource is attached to the job. Allows sharing of data management resources between programs running in different activation groups.