Data Governance is a complex and multifaceted discipline, but at its core, it’s all about ensuring that data is accurate, consistent, and reliable. One of the key components of effective data governance is data quality, and that’s where Six Sigma comes in. Six Sigma is a powerful methodology that uses statistical analysis to identify and […]
How does Six Sigma fit into Data Governance? Read More »
Data governance is sometimes considered similar to other data-related roles, but it has a crucial distinction. In data analytics and data science, we use data to enhance decision-making, while in data governance, we use decision-making to improve data. Both fields have a human and technical aspects, and it’s essential to keep a balance between them
What makes Data Governance apart from other Data sister-roles? Read More »
A trending corporate practice for data remediation is manual data issues fixing (part of the ETL), which only treats the surface problem and not the underlying cause. Persistent bad data is often a result of structural issues (technology, process, behavioral driven, etc.), that will inevitably resurface if not appropriately addressed from the root. Finding and
Foundation of Data Governance. Read More »
