Data management is the practice of managing data as a valuable resource to unlock its potential for an organization. It involves a reliable data strategy and methods to access, integrate, clean, govern, store and prepare data for analysis. Data management processes help organizations identify and resolve internal pain points to deliver a better customer experience. Establishing best practices for data management is essential for all organizations, regardless of size or type.
To begin with, it is important to clearly identify your business objectives and focus on data quality. This will help you make better business-related decisions, taking into account company rules, regulations and policies. Enabling the right people to access your data is also essential in order to reduce risks related to data processing and provide accurate data to people and the organization. New technologies allow data management repositories to work together, disappearing differences between them.
Industry-leading data integration and management platforms, such as Talend, provide a unified way to move and manage all data operations, from code creation to cold file storage. With the availability of cloud data management systems, organizations can now choose whether to preserve and analyze data on-premises, in the cloud, or in a hybrid combination of the two. Data management processes require a certain skill set to successfully implement data strategies and achieve high-level objectives. This approach uses artificial intelligence or machine learning techniques to make processes such as data quality, metadata management and data integration self-configurable and self-adjusting. To help make data more accessible, many data management teams are creating data catalogs that document what is available in systems and typically include business glossaries, metadata-based data dictionaries, and data lineage records. SAS Data Management includes all the capabilities you need to access, integrate, clean, govern and prepare your data for analysis, including advanced analytics such as artificial intelligence and machine learning.
Effective data management is a crucial part of implementing IT systems that run business applications and provide analytical information to help drive operational decision-making and strategic planning by corporate executives, business managers, and other end users. Data management is a crucial first step in employing effective data analysis at scale, leading to important information that adds value to your customers and improves their bottom line. If information is power, then effective data management and capitalization could well be your company's superpower.
