Sentence examples for data could increase from inspiring English sources

The data could increase pressure on politicians and the Bank of Japan to devise new policies for the corporate sector, which is lagging behind gains in private consumption.

In the U.S. retail sector alone, for example, the consultants calculate that big data could increase a retailer's operating margin more than 60 percent.

First, other interpretations of preferences or observed data could increase the weight we place on future benefits by as much as a factor of five.

Automating map construction by developing a computer program to create a map-like visualization that directly uses phylogenetic data could increase the applicability of this method of visualization.

However, it does present other possible drawbacks: 1) it relies on the hypothetical assumption of steady-state conditions, 2) the mathematical calculation of the data could increase the experimental error and, 3) the need to measure the mRNA disappearance during a prolonged time provokes a stressful situation that affects genes expression.

Being able to investigate other data sets without actually moving the data could increase research efficiency.

In particular, the enormous volume and variety of data available could increase the chances of "fishing expeditions", where investigators hunt through data without a specific purpose in mind.

Allowing companies other than cell networks to make use of cellular data technology could increase competition and consumer choices.

By 2020, investment to spur the widespread use of big data analytics could increase annual G.D.P. in manufacturing and retail by $325 billion a year and could produce up to $285 billion in productivity gains in health care and government services, easing budgetary pressures and releasing resources for investment in other sectors.

This is supported by a recently published study from the USA, which suggested that effective use of electronic databases by a skilled data manager could increase the rate of flu vaccination by over 10%.

In this paper we demonstrated that dealing with the proportions of positive and negative cases entries in the data sets could increase the sensitivity of machine learning methods for automated case identification.