Sentence examples for enterprise spend from inspiring English sources

Exact(3)

Box is in a market that dispurts many 10s of billions of dollars of enterprise spend — file storage, enterprise collaboration and inter-organizational file sharing.

Meanwhile, popular streaming media apps like Spotify not only drive consumer usage of cloud services but also increased enterprise spend for Spotify to enable the services to exist.

The company has quickly become a darling in Silicon Valley, but it has to prove it can be attractive to larger enterprises that might shift their enterprise spend toward more established companies like Atlassian.

Similar(57)

Collinson in the Enterprise spent three years on Victoria Island, reaching Victoria Strait.

Lumping together Nigeria with China and India and Brazil, he described them as "the countries on the rise … lean, fit, obsessed with enterprise, spending money on the future – on education, incredible infrastructure and technology".

As consumers gain more disposable income and garner confidence, they will be joined by enterprise spending the world over.

While overall HDD capacity shipments are increasing, the dependence upon the enterprise near line storage market will drive greater quarterly shipment variation, depending upon cloud and other enterprise spending.

(Most of that will usually turn out to be perfectly legitimate, too). The typical large enterprise spends up to 395 hours per week processing false alerts -- valued at about $1.27 million per year -- according to Ponemon.

Such calculations are based on hard, obvious metrics: Before cloud, the enterprise spent $100,000 on on-premises servers and software licenses and equipment every year, along with $200,000 of staff time (hypothetically speaking).

Sinha notes that large enterprise spends half a trillion dollars annually on software and services, and this creates incredible competition to not only win some of that business, but upend incumbents in the process.

In general, the enterprises spend a significant amount of resources on data collection and storage, but too little on facilitating data analysis and sharing.

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