Visit the CBIP group at tdwi.org/linkedin/cbip. Since 2003, TDWI and the ICCP have provided the CBIP certification to global business and industry through their ...

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 ...

[NOTE -- My new TDWI report about High-Performance Data Warehousing (HiPer DW) is finished and will be published in October. The report’s Webinar will broadcast on October 9, 2012. In the meantime, ...

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 ...

Self-service analytics continues to be a top priority for organizations, according to TDWI research. Yet many teams still struggle with adoption. Business users want direct access to data to support ...

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, ...

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 ...

Modern business depends on sophisticated decision support, advanced analytics, and artificial intelligence (AI) applications. Therefore, modern businesses need next-generation data intelligence ...

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 ...