The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, supporting data-driven insights and streamlined processes to better serve policyholders. In recent years, data warehouses have become foundational tools for insurance companies,…
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Category: Data Warehouse Automation
- Blog
The Future of AI in Data Warehousing: Trends and Predictions
Data management can be a daunting task. It requires significant time and resources to collect, process, and analyze large volumes of information. To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline…
Health Data Management: What it Means for Healthcare Organizations
The healthcare industry is undergoing a data revolution, fundamentally changing how healthcare organizations and professionals approach patient care. A modern healthcare data management system that empowers health providers to better anticipate needs and improve patient outcomes with unprecedented accuracy isn’t…
- Blog
Designing and Deploying an OLTP Data Model with Ease
As data warehousing technologies continue to grow in demand, creating effective data models has become increasingly important. In particular, optimizing online transactional processing (OLTP) data models—which define the structural relationships between normalized tables and entities—for efficient transactional processing is crucial. However,…
- Whitepaper
2023 Game Plan: Defining Your Data Strategy
Well-planned and properly executed data preparation influences analysis outcomes and impacts downstream applications. When performed correctly, data preparation or preprocessing leads to high-quality, reliable data that turns into insights you can count on. Whitepaper Home / Whitepapers / 2023 Game…