Category: Blog

According to Gartner, 80% of companies worldwide are expected to have efficient data management systems in place by 2025. This projection highlights the growing recognition of data governance tools as essential enablers for maintaining and enhancing the quality and security…

Did you know data scientists spend around 60% of their time preprocessing data? Data preprocessing plays a critical role in enhancing the reliability and accuracy of analytics. This blog will discuss why data preprocessing is essential for making data suitable…

Data Integrity vs. Data Quality in a Nutshell  Data integrity refers to protecting data from anything that can harm or corrupt it, whereas data quality checks if the data is helpful for its intended purpose. Data quality is a subset…

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. This strategic approach to data governance aligns with findings from a McKinsey survey, suggesting that companies with solid…

As data variety and volumes grow, extracting insights from data has become increasingly formidable. To put it into perspective, a bibliometrics study reveals that an astounding 2.5 million new papers are published annually. Processing this information is beyond traditional data…