Data preparation is critical for many industries, retail is one of them. Communicating specialized requirements and delegating tasks to data engineers can lead to unexpected outcomes and delays. Often the better approach for retailers is to explore, cleanse, and manipulate data…

Clean and accurate data is the foundation of organizations’ decision-making processes and is the reason why they’re heavily investing in data quality solutions. The global Data Quality Tools market was valued at $3.23 billion in 2023, and projections show that…

A survey found that 76% of data scientists consider data preparation their least favorite part of their job, and a majority of their time is spent on data preparation. Nevertheless, data preparation is necessary to make raw data ready for…

A clear understanding of data health enhances data quality and trustworthiness. This is where data exploration comes into play.  Data exploration provides extensive insights into the characteristics of your data. You can uncover data anomalies and learn how to address…

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…