Mathematics, Statistics, and Analytics Job Titles Quiz

They develop, enforce, and maintain an organization’s data governance process, data usage, and data security policies to ensure high quality data assets.

They design, construct, test, and maintain data infrastructures, including applications for data extraction, transformation, and loading.

They leverage statistical techniques and create analytical models to derive new insights from data.

<p>ETL Developer, Data Architect, Data Warehousing Professional, Big Data Engineer</p> Signup and view all the answers

<p>The purpose of the data value chain is to describe the full data lifecycle from collection to analysis and usage, categorizing the steps to transform raw data into useful insights.</p> Signup and view all the answers

<p>The first transformation data goes through is when it is extracted from various sources and consolidated into a single repository.</p> Signup and view all the answers

<p>At the 'Insights' stage, organizations can identify trends or patterns from historical information to answer questions like 'Why did it happen?' and 'What could likely happen next?'</p> Signup and view all the answers

<p>The value of data is fully realized when organizations act on the insights derived from the analysis.</p> Signup and view all the answers

<p>Utilize data and leverage on derived insights to help organizations make better decisions on a specific functional domain.</p> Signup and view all the answers

<p>Develop and guide data-driven projects from initiation to closure.</p> Signup and view all the answers

<p>Because Analytics can provide data, information, insights, and prescribed actions, but the end user still has the final decision to act upon them or not.</p> Signup and view all the answers

<p>By providing data, information, and insights to support digital processes in a smart way.</p> Signup and view all the answers

<p>Critical Thinking, Communication, Collaboration, Creativity and Attitude, Planning &amp; Organizing, Business Fundamentals, Customer Focus, Working with Tools &amp; Technology, Dynamic (Self-) Re-Skilling, Professional Network, Ethics</p> Signup and view all the answers

<p>3 levels</p> Signup and view all the answers

<p>Necessary skills not only in Analytics but also in other fields</p> Signup and view all the answers

<p>Continuous monitoring of individual knowledge and skills</p> Signup and view all the answers

<p>Adherence to high ethical and professional norms, responsible use of power data-driven technologies, avoidance of unethical use of technologies and biased data collection</p> Signup and view all the answers

<p>Data stewards, functional analysts, and analytics managers</p> Signup and view all the answers