D3

(redirected from Data-Driven Decision-Making)
AcronymDefinition
D3Doom 3 (game)
D3Diablo 3 (gaming)
D3Data-Driven Decision-Making
D3Dirty Three (Australian band)
D3Detroit 3 (North American Automobile Manufacturing)
D3Descent III (computer game)
D3Dynamic Document Drafting (Microsystems software)
D33-Sided Dice (gaming)
D3Design, Development & Documentation
D3Direct-Data Domain (least squares method)
D3Third Generation Channel Bank (24 Channels on T1)
D3Degrade, Disrupt, Deny
D3Direct Data Distribution
D3Defending the Digital Domain
D3Decide, Detect, and Deliver
D3Device Mode 3 (full-off power state, computing)
References in periodicals archive ?
Becoming a data-driven decision-making organization requires a different disposition and a major shift in organizational culture.
To illustrate the impact of data-driven decision-making, Douglas Mirsky, director of advisory services at the International Institute for Analytics (IIA), used the example of football helmets: For years, sports organizations went with their gut feeling and believed that the hard, crumple-free design of football helmets would keep players safe from serious head injury.
The fifth paper "The Financial and Non-financial Aspects of Developing a Data-Driven Decision-Making Mindset in an Undergraduate Business Curriculum" (Bohler, Krishnamoorthy & Larson, 2017) examined the journey of developing a data-driven decision-making mindset within the undergraduate curriculum of one college of business.
Noga's expertise includes financial analysis and reporting, budgeting and reforecasting, and data-driven decision-making. Regarding her new role, Noga said, "I'm excited to join a team of the best minds in real estate to develop a BI tool which will leverage RCLCO's in-house expertise as well as Big Data to give multifamily operators and homebuilders visibility into trends and performance by market segment and enable strategic decision-making with optimized outcomes at critical points throughout the product and customer life cycles."
Engage leadership at the top and ensure high-level decision-makers provide support for staff to leverage analytics and data-driven decision-making to improve outcomes.
The strategies that states are implementing include, for example, working to support, strengthen, or modify teacher preparation programs so that all teachers are ready to provide high-quality instruction to their students and prepared for success in high-need schools; increasing data-driven decision-making to help ensure that schools and districts have access to accurate, timely information necessary to make constructive decisions; providing financial incentives designed to reward teachers for exceptional work and encourage great teachers to remain in the highest-need schools; and publicly reporting progress to hold themselves properly accountable for meaningful improvement in eliminating identified equity gaps.
By providing uniform public information about early access programs, clinical trials and diagnostic tests myTomorrows enhances data-driven decision-making and enable rational pharmacotherapy.
Empirical evidence suggests that companies relying more on data-driven decision-making are performing better in productivity and profitability.
These solutions allow enterprises to analyze openly available data and gain insights that drive predictive and data-driven decision-making in their businesses.
Perhaps we should demystify these buzzwords and just start saying "analytics," or better yet, "data-driven decision-making."
Summary: “Legal analytics” refers to data-driven decision-making in the business and practice of law.
Employment of data-driven decision-making thmughout all aspects of work and the ability to fully justify every recommendation made using said data.
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