Innovative business intelligence (BI) platforms are setting new standards by collecting, organizing, and deriving insights from vast, real-time analytical and transactional data. With the advent of ...

Enterprises rely on robust data quality management (DQM) practices to address challenges and seize strategic and operational advantages in today’s business environment. Yet in TDWI research, we ...

The digital business era, driven by artificial intelligence (AI) and generative AI (gen AI), demands unified, interoperable data to overcome challenges like data integrity and control concerns. IDC’s ...

Many organizations are planning applications for generative AI, but for AI to be successful, the organization’s data must be trustworthy. As organizations continue their journey to generative AI, new ...

Evan Levy, industry consultant and partner at Integral Data, LLC, joins host Andrew Miller to go through a data governance bootcamp - including the importance of data governance, real-world examples, ...

Are you ready to remove data silos quickly and create unique customer profiles for accurate segmentation? The latest white paper from Ventana Research reveals how you can achieve these goals and more.

If you have an older, traditional MDM system, it may be holding you back now. Not only do these systems often lack the scalability and performance needed for today’s massive data volumes, but they ...

With high-quality, timely data for your business intelligence and AI/ML initiatives, you can improve business efficiency, mitigate risks, enhance the customer experience, and improve insights for ...

AI talent is scarce; builders and highly skilled users are in low supply. Data science was once the same. In the mid-2010s, my company Pandata (acquired by Further in 2024) helped solve the data ...

Sophisticated AI applications are at the heart of modern business go-to-market strategies. When deployed into customer-facing applications, AI can power better sales performance, more effective ...