At the same time retailers are using sophisticated modeling to schedule employees, using data points like weather and morning sales traffic to develop last minute employee shifts.
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Instead of sifting through streams of tweets and Foursquare checkins to figure out a person's haunts and schedule, Riot collates data for users and displays it in everything from maps (saved in .kml files) and charts.
It also became clear from our contact with schools and colleges that, despite their reassurances, the SQA were substantially behind schedule in collecting internal assessment data from schools and colleges.
While traders expect manufacturing and jobs data to drive action at the end of the week, it wasn't clear which of the week's data releases would be reported according to schedule.
Patients were tried on the drug before the trial started, meaning those with obvious side effects were screened out, and Crestor was so effective the study was stopped ahead of schedule, limiting the safety data.
One readily available piece of information that put buyers and short sellers often ignore is the short interest data, which is published on a regular schedule and provided for free by Nasdaq.
Now all sides are waiting for the ruling of the Law Revision Commission, which is already two months behind schedule as it sorts through arguments and gathers its own data.
The conversion rate leakage could be a result of understaffing, so, based on these data, the executive immediately orders field management to increase labor hours and schedule extra shifts with an emphasis on cashiers and sales associates.
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We need to alter the school schedule to make more effective use of instructional time, use data more effectively to make critical decisions, and break down the barriers that exist between our schools and parents and the larger community.
It also provides the ability to synch more data (i.e. user fields, customizations) and on a more detailed schedule then most other out of the box tools.
The schedule IV labeling is a minor issue as far as physicians are concerned and the BLOOM-DM data speak for themselves.
To determine these figures, Ezekowitz analyzed the first-round NCAA tournament games played between teams seeded Nos. 3-14 since 2004. (There weren't any No. 1 or No. 2-seeded teams upset during this period.) The data showed the three statistical strengths common to the teams that pulled off upsets: rebounding, turnovers and strength of schedule.
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