Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]
What Are Data Quality Tools?
Data Quality (DQ) tools are software solutions that aid in cleaning data, improving data integrity, and ensuring the accuracy of information. Quality management is a key component of business intelligence and big data. Through Data Quality management, you can ensure that your organization’s data is accurate and relevant. These tools are frequently found within master data […]
What Is Data Profiling?
Data profiling is the process of analyzing data to get a basic understanding of what it contains. It examines the data in tables or columns to determine values, patterns, and anomalies distribution. It’s essential to Data Quality Management because it helps business users understand their data and decide whether it meets their needs. You can perform […]
Data Quality Management 101
Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and energy required to deal with inaccurate data by manually reprocessing it. Low-quality data can hide problems in operations and make regulatory compliance a challenge. Good Data Quality Management is essential for […]
16 Internal Data Management Best Practices
In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]
Start Small and Scale Up with Data Profiling, Data Quality, and Data Governance
Organizations today are rallying business users around using data to make better business decisions. Business users want to know where that data lives, understand if people are accessing the right data at the right time, and be assured that the data is of high quality. But they are not always out shopping for Data Quality […]
A Brief History of Data Quality
The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact checking and Data Governance, and, as a consequence, make decisions that give them an […]
Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3
Click to learn more about author Wayne Yaddow. In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […]
Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2
Click to learn more about author Wayne Yaddow. In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […]
An Introduction to Metadata Management
Click to learn more about author Sowmya Tejha Kandregula. According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […]