Category: Type

According to Gartner, poor data quality costs businesses an average of $12.9 million annually, making data preparation one of the most critical parts of a data analyst’s job. With effective data preparation procedures in place, data analysts can ensure that they’re…

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 million annually for businesses. Data cleansing is critical for any organization that relies…

Did you know that only 3% of companies have data that meets basic quality standards? Data quality is essential for any business leveraging data for insights, decision-making, and innovation. However, data quality is not something that happens automatically. It requires…

Machine Learning (ML) focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data. It encompasses various techniques, such as supervised learning, unsupervised learning, reinforcement learning, and more. In ML, getting…

The pursuit of accelerated business growth hinges on data-driven strategies. McKinsey suggests that companies who use consumer behavior insights strategically perform 85% better in sales growth compared to their peers. But, the traditional manual data preparation process, which often involves…