Sentence examples for businesses for data from inspiring English sources

There are additional factors: highly diverse data requirements and standards, disagreement on information priorities, poorly measurable management objectives, lack of coordination, over-reliance on researchers and businesses for data collection, lack of business engagement, and short-term, project-based activities.

But the data is useless unless the technologies and public records are integrated, a job that has become a fast-growing business for data processing giants like I.B.M., Unisys and Siemens.

We're certainly seeing a lot of business for data servicing companies, where we're building data centers for them, as well as for companies that are in-sourcing their cloud environment or continuing to grow in a more virtualized way.

But because many companies hire specialized technology businesses for digital data recovery services, it's not clear whether they will gravitate to a company that still has one foot in the analog age.

Carriers can also take comfort that newcomers like Cisco, which rode business demand for data networking and the Internet boom, are increasingly focused on the carriers' need to migrate from networks originally designed for voice traffic to delivery systems dominated by data and bandwidth-hungry applications like video.

This work has been motivated by the following factors: (a) Business needs for data increasingly include requirements for near real time analysis [3, 55].

The development of IT has brought about innovations in both technical and commercial areas which have led to the emergence of new business models for data exchange.

From a socio-economic perspective, the authors propose to give research priority to organizational issues concerning governance issues and suitable business models for data sharing in different supply chain scenarios.

MPM professionals develop closed-loop business processes for data collection, performance target setting, measurement and reporting.

Lautenbacher emphasizes that the need for consensus on business models for data sharing is critical and will likely take years to sort out.

One obvious extrapolation from all these acquisitions is that Google will be in the business of data for a long time.