Following the setting of agreed assessment objectives, an analytical framework for the assessment must be defined. An analytical framework provides a structured approach to gathering and interpreting ...

Bluebee is making a next-generation sequencing (NGS) data analysis framework from the University of Cologne available on its cloud platform. The partners formed the collaboration to broaden the reach ...

To unleash the true value of a DataOps program, stakeholders need an equally agile, yet strong, data access governance framework that facilitates shared analytical data and ensures data is governed ...

QuickLaunch Analytics launches Foundation Pack, a pre-built analytics infrastructure that unifies enterprise data, deploys ...

Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. Delivering successful data analytics solutions that have a ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

As a data-driven analysis and decision-making tool, student portraits have gained significant attention in education ...

What Is Peer Group Analysis? Potential Pitfalls of Improper Peer Group Analysis A Three-Step Process to Choosing the Right Peer Group How to Use Peer Analysis Across the Investment Workflow A ...

Inverse residual variance (IRV) weighting reduces noise and improves factor performance. Country and industry betas replace ...

A new series of execution frameworks have recently been added to the Hadoop ecosystem, including Spark, Tez, Flink, Storm and Samza, each with its own strengths and weaknesses. As such, it’s ...