Data is an essential topic in todays business world. Every business owner wants to talk about innovative ideas and the value that can flow from… Read More »Data Quality and DataOps towards Customer Value
Agile Data Governance is the process of improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can… Read More »Understand Your Data Better with Agile Data Governance
Data integration is defined as gathering data from multiple sources to create a unified view. The process of the consolidated data avails users with consistent access… Read More »7 Reasons why you need a data integration strategy
Data integration is defined as gathering data from multiple sources to create a unified view. The process of the consolidated data avails users with consistent access… Read More »7 Reasons why you need data integration strategy
Data observability is an integral part of the DataOps process. It helps to reduce errors, the elimination of unplanned work, and the reduction of cycle time. It… Read More »Introducing the Pillars of Data Observability
Data Cleansing and analysis are the first steps in managing the quality of data. Cleansing is the process of correcting and detecting inaccurate data from… Read More »Say goodbye to traditional data cleansing
In recent years the technology has become prominent. AI and Machine learning are evolving quickly today. Almost today, everyone will have some interaction with a… Read More »Using Artificial Intelligence and ML in data quality management.