Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
dbta

Key Considerations for Setting Up Analytical Models

A good analytical model should satisfy several requirements, depending on the application area. A first critical success factor is business relevance. The analytical model should actually solve the ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
Business Wire

Teradata Solves Biggest Challenges of Executing Analytics at Scale for Enterprise Customers

SAN DIEGO--(BUSINESS WIRE)--Teradata (NYSE: TDC), the connected multi-cloud data platform for enterprise analytics company, today announced that Vantage is now able to operationalize externally ...
GovCon Wire

BAE Secures $183M NGA Analytic Modeling Capability Development Contract

BAE Systems has received a potential five-year, $183 million contract from the National Geospatial-Intelligence Agency for GEOINT modeling support services. The company will develop, integrate and ...
dbta

Information and Wisdom: The Art of Building and Operationalizing an Analytic Model

Today, the idea of picking up the phone to call a travel agent to plan out a vacation seems archaic. It used to be that everyone used a travel agent, but nowadays it’s an occupation that caters mainly ...
ascopubs.org

Economic Impact of Next-Generation Sequencing Versus Single-Gene Testing to Detect Genomic Alterations in Metastatic Non–Small-Cell Lung Cancer Using a Decision Analytic Model

In a hypothetical 1,000,000-member health plan, 2,066 Medicare-insured patients and 156 commercially insured patients were estimated to have mNSCLC and to be eligible for testing. Time-to-test results ...