A survey by found that 76% of data scientists consider data preparation their least favorite part of their job. This may be because data preparation can be a complex and time-intensive task, consuming hours, days, and sometimes even weeks of…
Category: Product
Data Exploration: A Comprehensive Guide
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…
The Importance of Data Preparation for Machine Learning
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…
Self-Service Data Preparation: The Pathway to Business Growth
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…
Data Merging Essentials: Process, Benefits and Use-Cases
Did you know that marketing professionals alone use an average of 15 different data sources to collect customer information? While this may seem surprising, the predictions show that this number will increase to 18 this year, and that’s not even…