Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

Interest is growing in the data mesh approach—an organizational and architectural approach to share, access, and manage analytics data in complex and large-scale environments where data ownership is ...

According to TDWI research, generative AI will be the top analytics investment area in 2025, unlocking fresh innovations and perspectives and creating valuable opportunities for organizations. For ...

Self-service business intelligence (BI) and analytics typically involves allowing nontechnical users throughout an organization to directly access data for self-directed discovery, analysis, ...

Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the ...

At Quicken Loans, we believe that optimal model function is best achieved by supplementing our models and data scientists with an advanced suite of supporting technology. We call this our “model ...

As organizations expand their use of AI and machine learning, ensuring that data is AI-ready is more critical than ever. High-quality, well-integrated data fuels better AI models, driving innovation, ...

Attending TDWI Transform 2025 Orlando doesn’t have to be all business, there can be some fun mixed in—actually, we encourage it! Here are some fun activities and events scheduled for the event this ...

Successful modern data infrastructure encompasses more than just storage and staging options. Organizations must take a holistic approach with key data management practices including data quality, ...

As organizations prioritize data democratization and AI-driven analytics, ensuring high-quality, trustworthy data has never been more crucial. Data quality management is a continuous, complex process ...

TDWI Research shows that businesses are prioritizing AI, advanced analytics, and expanded self-service programs. These pressures are driving data leaders to revise their data strategies as they work ...