It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...

Managing, moving, transforming and governing data for business applications and data analytics purposes has always been an important part of IT operations. But those chores have taken on a new level ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Data lineage is the process of identifying the source of data, recording the transformations and flows of data over time, and visualizing data flow from sources to end users. Data lineage empowers ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...

Here are eight ways machine learning and artificial intelligence tools are being leveraged in data centers to solve some of the IT world’s biggest issues around data, cybersecurity and server ...

Without the right processes and tools, it’s easy for a digital analyst to spend more time pulling and organizing data than reporting their findings and delivering meaningful analyses. What can ...