In order to support Data-Driven Decision-Making (DDDM), organizations invest in which competency?

Data Proficiency is crucial for supporting Data-Driven Decision-Making (DDDM) as it encompasses the knowledge and skills necessary to analyze and interpret data effectively. Organizations looking to make informed decisions rely on data insights to guide their strategies, assess performance, and identify areas for improvement. Data proficiency ensures that employees can not only access and manipulate data but also understand its implications and make analytical conclusions that drive business outcomes.

By investing in data proficiency, organizations build a workforce capable of leveraging data analytics tools and methodologies, which directly enhances their ability to base decisions on accurate and relevant information. This competency involves training in data literacy, statistical methods, data visualization, and critical thinking about data, all of which are essential in fostering a culture of DDDM.

In contrast, while human resources management, advertising strategies, and financial planning are important areas within an organization, they do not directly equip employees with the specific skills necessary to interpret and utilize data effectively for decision-making purposes.