Vanitha

In today’s world, data have become an organization’s most valuable asset. But, not all data is valuable. If organizations work with untrustworthy data, it can… Read More »How to ensure data quality and integrity?

In today’s world, we are doing more of the traditional data management practices. The process of connecting people, processes, and technologies by creating governance foundations,… Read More »Continuous data quality monitoring using AI and ML

Data quality is critical in any web scraping or data integration project. Data-driven businesses rely on customer data, it helps their products, provides valuable insights,… Read More »Data Quality Focused Data Pipelines

With the advent of data socializing, many organizations acquire, exchange, and make data accessible to all employees in an effective manner. Most businesses benefit from… Read More »5 most common data quality issues and how to overcome them.

The availability of big data in the Digital Era enables new generation industries to create novel business models and automate their operations. It also assists… Read More »7 Essential Features of Data Quality Tool

Introduction: Augmentation is the growing trend that organizations adopt to automate most data management workflows to free up vital time for their data scientists. Machine… Read More »How to ensure success with augmented data management?

Data ingestion is required for organizations and businesses to make better decisions in their operations and provide better customer service. Businesses can understand the needs of their… Read More »Data Ingestion Best Practices

Good data preparation gives efficient analysis, limits errors and inaccuracies that can occur to data during processing, and makes all processed data more accessible to… Read More »What is data preparation?

Data governance is the process of managing the data€™s usability, security, availability, and integrity within an organization using internally set and enforced rules and policies.… Read More »What is data governance?