The phrase "data for decision making" is correct and usable in written English.
It can be used when discussing the information needed to make informed choices or judgments in various contexts, such as business, research, or policy-making.
Example: "The company relies on accurate data for decision making to ensure its strategies are effective and aligned with market trends."
Alternatives: "information for making decisions" or "data to inform decisions."
Majority of subjects of those paper were in making use of historical data for decision making activities such as cost estimation and product or project attributes prediction and estimation.
SIGDEP gives clinical providers and managers access to relevant data for decision making.
In addition, we designed a clinician-oriented interface to help the clinician process instantaneous clinical data for decision making.
Consequently, it is difficult to estimate the need for rehabilitation and sensitization for health authorities without rigorous data for decision making.
Kruegger (1988) stated focus group data can be used before, during and after programs in order to provide valuable data for decision making [ 12].
Other factors associated with poor quality data in resource constrained settings include duplicate, parallel reporting channels and insufficient capacity to analyze and use data for decision making [ 13].
To complement this work, the Pacific Data for Decision-Making program assesses and develops harmonised plans to improve national syndromic surveillance systems.
And it's emphasized on total integration with Cyber Physical System as its core technology, via Internet of Things to realize the operational environment of human machine interaction, and the utilization of Big Data for decision making.
Health care providers cannot rely on such data for decision-making but have to assess patients on a case-by-case basis.
Measurement should be aligned to organizational goals in order to produce useful data for decision-making, goals monitoring, activities management and process performance analysis.
From the boardroom to the sports training ground, the question of how far we should rely on data for decision-making has become a defining issue over the past few years.
