Augmented analytics is the newest way to think about data and analytics. It’s the combination of two technologies – analytics and AI. It includes embedding...
Augmented analytics is the newest way to think about data and analytics. It’s the combination of two technologies – analytics and AI. It includes embedding artificial intelligence (AI), often in the form of machine learning (ML) and natural language processing (NLP), into traditional analytics. It’s considerably different from traditional analytics or business intelligence (BI) tools because ML technologies are always working behind the scenes to continuously learn and...
Augmented analytics is the newest way to think about data and analytics. It’s the combination of two technologies – analytics and AI. It includes embedding artificial intelligence (AI), often in the...
An enterprise-strength analytical framework can integrate data from ERP, HCM, SCM and other sources to create a single window into business performance that can...
An enterprise-strength analytical framework can integrate data from ERP, HCM, SCM and other sources to create a single window into business performance that can add tremendous value to the entire organization.
An enterprise-strength analytical framework can integrate data from ERP, HCM, SCM and other sources to create a single window into business performance that can add tremendous value to the...
How can data along with analytics and data science help communities?
Quality analysis relies on quality data, your expertise, and Oracle tools.
For the past decade, the analytics industry has focused on self-service and ease of use. But is domain analytics coming back – and if so, how can you take...
For the past decade, the analytics industry has focused on self-service and ease of use. But is domain analytics coming back – and if so, how can you take advantage of it?
For analytics professionals, T-shaped skills development is an absolute must. Learn more about how the T-shaped model can transform your approach to data...
For analytics professionals, T-shaped skills development is an absolute must. Learn more about how the T-shaped model can transform your approach to data science and put you ahead of the curve.
How do you complete the data and analytics transformation journey? The final step is transform to a data-driven culture.
What can you do with the massive amounts of data coming every day? Find the story beneath the numbers to derive hidden insights.
Step Three and Four are all about proving your concept works and building to scale.
