As digital transformation accelerates, now is the time to revisit your integration strategy and unlock the full potential of ...

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

The same could be said for the juxtaposition of applications logic ... faster analysis for such data-heavy applications as real-time fraud detection, customer behavior modeling, merchandising ...

action model to program prioritization decisions." The new release from Radiant Logic represents a major step forward in the ability to use identity data management and identity analytics in ...

The embedded analytics engineer works with the central data team to set standards for tooling and process while identifying common models. If your current organization is decentralized ...

In other words, data modeling and data analysis work best when they are used together. But how do organizations embed data into every decision and process? The answer starts with effective data ...

Editor’s note: Steven Hillion is co-founder of Alpine Data Labs where he leads development of an enterprise platform for advanced analytics ... pitfalls of the modeling process.

When using using generative AI to enhance data ... AI model performance. The following steps are essential to ensuring data is of the highest quality: Before starting the analytics process ...

He said through the strategic integration of data analytics, optimization, and business process modelling, the country will achieve inclusiveness faster. Ejiroghene is an expert in cutting-edge ...