Identifying Characteristics (Data Sources)

Data Relevance: Good data sources are directly relevant to the organization's business needs and objectives. They provide data that is aligned with the specific metrics, KPIs, or use cases defined by the organization. Relevant data sources ensure that the collected data is meaningful and supports accurate analysis and decision-making.

Data Quality: High-quality data is a fundamental characteristic of good data sources. The identified data sources should consistently provide accurate, complete, and reliable data. This includes ensuring that the data is free from errors, duplications, or inconsistencies. Good data sources have data that is trustworthy and can be relied upon for analysis and reporting.

Data Availability: Good data sources are readily available and accessible to the organization. They provide data in a timely manner, allowing for real-time or near-real-time analysis. Data availability ensures that the organization has access to the required data when it is needed, enabling timely decision-making and action.

Data Consistency: Consistency in data sources is essential for accurate and reliable analysis. Good data sources maintain consistency in terms of data formats, data structures, and data definitions. This allows for seamless integration and comparison of data from different sources, ensuring a unified view of the information.

Data Security and Privacy: Good data sources prioritize data security and privacy. They have robust security measures in place to protect sensitive information and comply with relevant data protection regulations. This includes mechanisms for data encryption, access controls, and data sharing agreements that safeguard the confidentiality and integrity of the data.

Data Scalability: Good data sources are capable of handling the organization's data volume and scalability requirements. They can accommodate growing data needs without compromising performance or data quality. Scalable data sources ensure that the organization can effectively manage and analyze large volumes of data as its needs evolve.

Data Governance: Good data sources adhere to established data governance practices. They align with the organization's data governance policies, standards, and procedures. This includes aspects such as data documentation, data lineage, metadata management, and data stewardship. Good data sources demonstrate a strong commitment to data governance principles, ensuring data accuracy and accountability.