AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

In a session at Data Summit 2019, titled “Designing a Data Architecture for Modern Business Intelligence & Analytics,” Richard Sherman, managing partner, Athena IT Solutions, looked at the current ...

LONDON--(BUSINESS WIRE)--Quantzig, a premier analytics solutions provider announces the completion of its recent article that offers comprehensive insights into use cases of big data analytics in ...

Furthermore, he argued that putting analytics ahead of data management and risk, from an architecture standpoint, doesn’t make sense. On the other hand, from the business perspective, it does. “The ...

Through a powerful metaphor linking Iron Man’s suit to enterprise analytics, Singh walks viewers through Coca-Cola’s ...

We are living in a world that is increasingly dependent on and driven by data. Incorporating data in your decision-making is the way companies now know that they’re fully informed. Data driven ...

With these characteristics in place, users are free to pursue the analysis their business requires, says Vyas: A modern data architecture is focused on enabling any user to take their analysis in any ...

analytics, machine learning or AI, organizing the data in a data warehouse best serves those goals. An effective enterprise data architecture supports flexibility in data organization to support ...

the legibility of that data is abstract rather than literal," explains Synthesis Design + Architecture in a press release. "Rather than provide a statistical or analytical reading of the data ...