Examples of using Data-driven decision-making in English and their translations into Indonesian
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Improve data management and data-driven decision-making in MSF OCA.
To improve cities,governments are increasingly promoting the use of technology and data-driven decision-making….
Use predictive analytics and optimization for data-driven decision-making in marketing, finance, management, and operations.
They frequently focus on facts and projections, love citing figures and statistics,and tend to rely on data-driven decision-making.
Use predictive analytics and optimization for data-driven decision-making in marketing, finance, management and operations.
SmartFarm, a flexible farm management solution enabling complete digitisation of farms andempowering data-driven decision-making.
Digital transformation is having a significant impact on technology from data-driven decision-making to cloud adoption, mobility, and the explosion in Internet-of-Things(IoT) it goes beyond just deploying new solutions.
Yellowfin 7.2 is designed to support a range of BI users and use cases,enabling clients to instill a culture of data-driven decision-making throughout their organization.
The team will draw upon WRI's global experience in mapping,governance and data-driven decision-making to support local governments working with grassroots civil society organizations, village leaders, indigenous people and company representatives.
Successful business analytics depends on data quality, skilled analysts who understand the technologies and the business,and an organizational commitment to data-driven decision-making.
Even as processes become automated andartificial intelligence takes over data-driven decision-making, change still needs to start with people.
For organizations, the practice of strategic planning needs to encompass more than just the process itself- it needs to align people, processes,and technology toward a shared goal of strategic, data-driven decision-making.
Many of these globally oriented programs emphasizeleading strategic change to healthcare systems, data-driven decision-making, and the best of health systems and businesses internationally.
For organizations, the practice of strategic planning needs to encompass more than just the process itself- it needs to align people, processes,and technology toward a shared goal of strategic, data-driven decision-making.
Candidates apply an understanding of community-relations models,marketing strategies and processes, data-driven decision-making, and communication theory to craft frameworks for school, business, community, government and higher education partnerships.
The M.S. in Analytics at the University of San Francisco is an intensive one-year program that provides students with the skills necessary to develop techniques andprocesses for data-driven decision-making- the key to effective business strategies.
The integration of business systems,information technology and operational technology that enables data-driven decision-making also poses new security challenges, because these newly connected systems can also accelerate the speed and damage of attacks across enterprise networks.
That is used by companies committed to data-driven decision-making.
Common success factors included conducive country conditions,a targeted technical approach using a package of effective tools, data-driven decision-making, active leadership at all levels of government, involvement of communities, decentralized implementation and control of finances, skilled technical and managerial capacity at national and sub-national levels, hands-on technical and programmatic support from partner agencies, and sufficient and flexible financing.
The Barcelona GSE Master in Data Science prepares its graduates to design andbuild data-driven systems for decision-making in the private or public sector, offering a thorough training in predictive, descriptive, and prescriptive analytics.
In criminal justice systems, credit markets, employment arenas,higher education admissions processes and even social media networks, data-driven algorithms now drive decision-making in ways that touch our economic, social….
Barcelona Graduate School of Economics' Master's in Data Science.This program prepares its graduates to design and build data-driven systems for decision-making in the private or public sector, offering a thorough training in predictive, descriptive, and prescriptive analytics.
As a graduate, you will know how to leverage AI to extract data and use data-driven intelligence to guide decision-making, solving complex enterprise problems with state-of-the-art solutions, all while creating efficiency and quality gains for small and medium-sized enterprises up to the largest of corporations.
We make sense of your data for better decision-making and data-driven strategies.
First, ensuring the decision-making process is accountable and data-driven.
Six Sigma's clear strength is a data-driven analysis and decision-making process- not someone's opinion or gut feeling.
TQM has long been a data-driven process- relying heavily on a post-mortem understanding of evidence-based decision-making and process improvement.