The phrase "allow for data" is correct and usable in written English.
It can be used when discussing the need to accommodate or consider data in a particular context or situation.
Example: "When designing the software, we must allow for data input from various sources to ensure compatibility."
Alternatives: "make provisions for data" or "account for data".
It also does not provide a connection to the Internet or allow for data transmission.
This model is integrated with process design simulator, iCON to allow for data transfer during preliminary design stage.
A minimum database set is also presented which will allow for data sharing and would lend itself to basic interpretation of trends.
The input and output machining data, collected in a structured database, provide the key for process optimisation and allow for data update.
You may be able to figure out how to include one in the same document as your résumé but that's not a guarantee, especially because some systems only allow for data to be entered into specific boxes.
The law promotes treatments based on sound evidence and electronic health records (which allow for data collection), two advances that could make it easier for patients and their primary-care doctors to find specialists who have had superior results.
Perhaps most importantly, assessments and reassessments are crucial and underutilized (84 97 %) in order to allow for data-driven decisions on needs and substance use disorder treatments delivered.
With the FP241W, the company promises the screen will take "game playing to new heights" thanks to its High-Definition Multimedia Interface (HDMI) that will allow for data-transfer rates of up to 5GB per second and a gray-to-gray response time of 6 milliseconds.
Instead, peers agreed to a government amendment that allows for data controllers to be forced to pay a fine for the mismanagement of personal data.
The prototype allows for data input, process modelling, methodology application and result display.
Each of the stages allows for data parallelization using multiple CPUs that leads to faster computation.
