18 Questions
What is the role of Data Stewards in an organization?
They develop, enforce, and maintain an organization’s data governance process, data usage, and data security policies to ensure high quality data assets.
What is the primary responsibility of Data Engineers?
They design, construct, test, and maintain data infrastructures, including applications for data extraction, transformation, and loading.
What is the main task of Data Scientists?
They leverage statistical techniques and create analytical models to derive new insights from data.
What are some related job titles for Data Engineers?
ETL Developer, Data Architect, Data Warehousing Professional, Big Data Engineer
What is the purpose of the data value chain?
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.
What is the first transformation data goes through in the data value chain?
The first transformation data goes through is when it is extracted from various sources and consolidated into a single repository.
What is the significance of the 'Insights' stage in the data value chain?
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?'
When is the value of data fully realized in the data value chain?
The value of data is fully realized when organizations act on the insights derived from the analysis.
What is the main responsibility of a Statistician?
Utilize data and leverage on derived insights to help organizations make better decisions on a specific functional domain.
What is the role of an Analytics Manager?
Develop and guide data-driven projects from initiation to closure.
Why is the term 'decision support' preferred over 'Analytics' in certain contexts?
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.
How does Analytics drive digitalized processes intelligently?
By providing data, information, and insights to support digital processes in a smart way.
What are the recommended competencies for Analytics professionals according to APEC Project DARE?
Critical Thinking, Communication, Collaboration, Creativity and Attitude, Planning & Organizing, Business Fundamentals, Customer Focus, Working with Tools & Technology, Dynamic (Self-) Re-Skilling, Professional Network, Ethics
How many proficiency levels are expected for each competency in the toolkit mentioned?
3 levels
What is the significance of Workspace Skills in the context of 21st-century skills?
Necessary skills not only in Analytics but also in other fields
What is the importance of Dynamic (Self-) Re-Skilling for Analytics professionals?
Continuous monitoring of individual knowledge and skills
What is emphasized in the competency of Ethics for Analytics professionals?
Adherence to high ethical and professional norms, responsible use of power data-driven technologies, avoidance of unethical use of technologies and biased data collection
Which professionals, in addition to data engineers and data scientists, does the APEC Analytics Competencies apply to?
Data stewards, functional analysts, and analytics managers
Test your knowledge on job titles related to Mathematics, Statistics, and Analytics fields. Identify different roles such as Statistician, Data Analyst, Analytics Manager, and more.
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