Why Data Management is Important

Data management has evolved from manual processes to digital solutions, crucial for handling vast data volumes. It involves developing and executing plans to manage data throughout its lifecycle, with functions like governance, architecture, and security. Effective data management supports business needs, ensuring data quality and compliance with policies. Modern systems integrate various components to provide comprehensive data management capabilities.

What was a significant challenge for businesses before the digital era in terms of data management?

• Managing and storing punch cards

• Inadequate data analysis tools

• Lack of skilled labor

• High cost of digital storage

Which function in data management is responsible for defining how data-related decisions are made?

• Data modeling

• Data governance

• Data integration

• Data warehousing

What is the role of data architects in an organization?

• To secure data from unauthorized access

• To maintain a blueprint for data flow

• To analyze data for business insights

• To manage unstructured data

Which process involves ensuring data is accessed appropriately while maintaining privacy?

• Data warehousing

• Data modeling

• Data security

• Data integration

What is the focus of reference and master data management?

• Managing unstructured data

• Maintaining common data within an organization

• Ensuring data quality

• Integrating data from multiple sources

What is the ultimate goal of data management in organizations?

• To support business objectives while minimizing risk

• To eliminate the need for data governance

• To automate all data processes

• To increase data storage capacity

What is a fundamental concept in data management regarding technology's role?

• Technology should drive organizational strategy

• Technology should serve organizational needs

• Technology should replace human decision-making

• Technology should be the primary focus of data management