Data accuracy is the biggest challenge many businesses encounter in their quest to cleanse data. Having accurate data is the foundation of the usefulness of data in all its stages of use.
According to Forbes, data scientists spend about 80% of their time on data collection, cleansing, and preparation, while only 20% of it is left for… Read More »Data cleansing for reliable analytics and business intelligence
30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of intolerable defects,… Read More »What is a Data Quality Framework and How to Implement it?
An average consumer uses various marketing channels while interacting with a brand. The numbers were calculated in Upland BlueVenn’s latest Digital Divide Report. They examined… Read More »A Single Source of Truth: The 360 Customer View
When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we… Read More »DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation
Data blending is the foundation for all analysis, which is why analysts reside in every department and within every industry. Yet not all analysts are… Read More »DSC Webinar Series: New Trends in Data Prep and Blend