Examples of using Data-driven decision-making in English and their translations into Chinese
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Data-driven decision-making.
Data-driven decision-making(DDDM).
For the first time, cities can implement data-driven decision-making based on up-to-the-minute conditions.
Experimentation offers real-world feedback about the customer and drives intelligent, data-driven decision-making.
The phrase"data-driven decision-making" is frequently invoked nowadays.
Google, not surprisingly, is committed to applying data-driven decision-making to human resource management.
The healthcare industry needs tomove to a 21st-century IT infrastructure model that allows for data-driven decision-making.
Today, self-service analytics and data-driven decision-making are the norm in organizations worldwide.
The program encompasses instructional leadership, organizational management,technology management, and data-driven decision-making.
These quantitative data allows enterprises with data-driven decision-making to gain a competitive advantage in the market.
Decisions based on intuition andexperience are increasingly being challenged by a data-driven decision-making style.
Use predictive analytics and optimization for data-driven decision-making in marketing, finance, management and operations.
Qualtrics lets businesses conduct a wide variety of studies andsurveys to gain quality insights for data-driven decision-making.
Today, more than ever, self-service analytics and data-driven decision-making are becoming the norm in organizations worldwide.
The research reveals four key characteristics of leaders in the age of Industry 4.0- commitment to do good;defined, data-driven decision-making;
If your competitors are relying on data-driven decision-making and you aren't, they will surpass you and steal your market share.
The collection and exploitation of data is meaningful only when it is used to optimize and automate solutions andsolve problems(data-driven decision-making).
It aims to enhance data-driven decision-making for improving the efficiency, effectiveness and compliance of human resources management in the Organization;
This newfound power and confidence is the key to scaling data-driven decision-making across the organization.
Data-driven decision-making saves organizations money, leading to real, recognizable revenue, and increases the probability that future investments will be successful.
The haste to implement and apply big data,via what's often called“data-driven decision-making,” resulted in grievous mistakes.
The United Nations and its partners seek to improve data collection andanalysis by investing in the required technical infrastructure to enable data-driven decision-making.
This presentation outlined X-Information Modeling or XIM, a method of data-driven decision-making for the design of tall buildings.
Working with VoltDB enables us to provide leading Chinese organizations with a smart streamingdata platform that powers digital transformations and data-driven decision-making.”.
It helps enterprises to establish a data operating system,and truly realize data-driven decision-making(decisions made through data are better than conventional decisions).
This sometimes requires an element of cultural transformation,particularly when an organization is looking to establish more data-driven decision-making processes.
Doing this sometimes requires an element of wider cultural transformation,particularly when an organization is looking to establish and perform more data-driven decision-making processes.
One of the ways the Virtue Foundation plays a part in the empowerment of women is by carrying out specific and targeted women's programmes that are shaped by data-driven decision-making.
GoDirect Flight Efficiency brings together Honeywell's flight-data analytics platform with its growing suite of trajectoryoptimization tools to help unlock savings from data-driven decision-making.