Talend Bolsters Efforts To Help Companies Cross The Data Quality Chasm

Data quality is the first challenge companies must overcome. There are at least three ways that bad data equals bad business. Indecision and lost productivity occurs when executives spend too much time questioning data quality. The second loss happens when business leaders make the wrong decision because the data was incorrect. A third and more subtle loss occurs when data integrity challenges prevent companies from capitalizing on new market opportunities with data-driven products. 

First-Time CEO Joins Big Data Firm Amid Pandemic

We’re back, and working remotely! For our first interview since the hiatus, Scott talks with Christal Bemont, the new CEO of Talend, about what it was like to take the role on just as COVID-19 began spreading around the world.

Moving from data chaos to data intelligence

Data science was once dubbed the “sexiest job of the 21st century”. Yet, when you dissect the working day of a data scientist, it’s hard to see why. Results from a recent IDC study found that, on average, data professionals spend 67% of their time searching for and preparing data for analytics. When we put that into the context of an average working day in the UK, that’s almost five hours which is spent on data admin alone.