Sentence examples for generate valuable information from inspiring English sources

The database was originally set up by the insurance industry, and the other major insurers would have to cooperate with the new database for it to be able to generate valuable information.

Note, too, that when Credit Suisse sells competitors' funds, the transactions generate valuable information about customers, which helps sell more Credit Suisse products.

This study employs Spatial Analytic Hierarchy Process (SAHP) and Geographic Information System (GIS) to generate valuable information in land allocation for jatropha production.

This novel integration of diagnostic, neurocognitive and genetic data will also generate valuable information for future phenotypic and genetic studies of schizophrenia.

In this review we encourage the use of modelling and simulation techniques to generate valuable information at an early stage of clinical development.

With advances in data mining (Yu et al. 2015), parallel computing, and Big Data techniques (Goes 2014; Agarwal and Dhar 2014), it is possible to generate valuable information from the raw data from heterogeneous sources.

Qualitative approaches have been used to gather such information and are considered most appropriate for generating valuable information to inform clinical decision-making and policy development [ 35].

That puts us in the netherworld of insider trading because the research arm of a broker generates valuable information their biggest clients desperately want, and there is enormous pressure to keep them happy to maintain the flow of trading commissions.

This generates valuable information for buyers and sellers, though it has one negative side-effect: it increases the risk of collusion (often a factor in traditional auctions) because participants can secretly e-mail each other, and negotiate side-deals.But eBay has found elegant solutions to some potential hazards of auctioning online, notably fraud.

Understanding the dynamics of these changes is necessary for generating valuable information for better decision making in the management of natural resources (Lu et al. 2003).

Doing so could maximize the efficiency of anticancer drug development by facilitating earlier clinical qualification of predictive biomarkers and generating valuable information on cancer biology.