Sentence examples for tedious data from inspiring English sources

Exact(16)

Intuit has done its best to make the program easy to use and foolproof -- but at a price, namely tedious data entry that involves answering one question after another.

But de La Grange's study amounts to several thousand dense pages in which genuinely important information is mixed in with tedious data about long-forgotten singers, ticket sales and contract negotiations, along with more footnotes than a David Foster Wallace novel (and nowhere near as much fun).

However, the high-cost, time-consuming sampling procedure and tedious data analysis of MS technology limited their clinical applications.

You can avoid some tedious data entry by downloading data from many major brokerages and mutual funds into Intuit's Quicken or Microsoft's Money software.

It therefore requires tedious data preparation and cleaning to exploit these data for predictive modeling of ADMET properties or adverse effects.

Realtors could be taking calls and booking showings before they or their administrative assistants ever get around to the tedious data entry that is the MLS input process.

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Similar(43)

Yet, traditionally, mobile video has been hamstrung by tedious uploading thanks to slow data networks, poorly compressed video files, along with the multi-step process of sharing.

Previously, cumbersome paper registers were required, along with tedious manual data aggregation procedures, requiring CHOs to spend copious amounts of time recording patient visits and registering insurance forms.

Sonne did not consider himself an entrepreneurial type, but watching Lars — and hearing similar stories from parents he met volunteering with an autism organization — he slowly conceived a business plan: many companies struggle to find workers who can perform specific, often tedious tasks, like data entry or software testing; some autistic people would be exceptionally good at those tasks.

That is because today's computers owe their ancestry not to Babbage but to the work of another 19th-century pioneer, Hermann Hollerith.In contrast to Babbage, who wanted to automate the fiddly business of mathematical calculation, Hollerith was interested in the less esoteric (but equally tedious) field of data processing.

The tedious task of data preprocessing was reduced by the development of a KNIME workflow.

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