Data analytics has evolved beyond traditional forecasting and budgeting. It has become an active decision validation engine.

Cube Dev Inc., the creator of an open-source semantic layer that simplifies access to data from disparate systems, is ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its ...

analytics, and artificial intelligence, today announced the launch of its Data Flow capabilities within Qlik Cloud Analytics™. Designed to address the time-intensive challenges of preparing ...

The Program for Data Analytics at Kellogg (PDAK) prepares managers to confidently harness the possibilities of data analytics and translate them into tangible business value. We partner with companies ...

Subjectivity in flow-cytometry data analysis has long been a challenge. Recent advancements in high-speed camera capabilities have led to the integration of morphological features with traditional ...

There are very few, if any, global companies that don’t rely heavily on data, analytics, and KPIs to effectively manage their supply chain. For instance, when you consider how a product gets to a ...

Four years since former Japanese prime minister Abe Shinzo proposed the “Data Free Flow with Trust” (DFFT) concept to combine the privacy and security of personal and sensitive data with the ...

Investopedia / Joules Garcia Data analytics is the practice of looking at raw data in certain ways to gain information. Many of the techniques and processes of data analytics have been automated ...