Data Analysis and Mining Methods Flashcard

Front

What is one of the modern data analysis methods mentioned for analyzing large data sets?

Back

Linear Discriminant Analysis

Answer explanation

Linear Discriminant Analysis is a modern method used for classifying data and reducing dimensions, making it effective for analyzing large data sets. It helps in distinguishing between different classes based on their features.

Front

Which method is used to identify frequently occurring patterns in large datasets?

Back

Association Mining

Answer explanation

Association Mining is the method used to identify frequently occurring patterns in large datasets, such as market basket analysis, where it uncovers relationships between items.

Front

Which analysis method is specifically mentioned for developing insights in business problems?

Back

Cluster Analysis

Answer explanation

Cluster Analysis is specifically mentioned for developing insights in business problems as it helps identify patterns and group similar data points, making it valuable for understanding customer segments and market trends.

Front

What is the primary role of an analyst compared to a data developer?

Back

Discover insights

Answer explanation

The primary role of an analyst is to discover insights from data, focusing on interpreting and analyzing information to inform decision-making, while a data developer primarily builds and manages the infrastructure and databases.

Front

What combination of skills is essential for the best analysts?

Back

Business acumen and analytical skill

Answer explanation

The best analysts require business acumen to understand market dynamics and analytical skills to interpret data effectively. This combination enables them to make informed decisions and drive strategic initiatives.

Front

How does co-location benefit collaboration between analysts and business users?

Back

It accelerates delivery and contextual understanding.

Answer explanation

Co-location fosters closer collaboration, enabling analysts and business users to share insights quickly. This accelerates delivery and enhances contextual understanding, leading to more effective decision-making.

Front

Which of the following is NOT a feature of a federated model? Hybrid structure, Local agility, Balancing standards

Back

Centralized decision-making

Answer explanation

A federated model emphasizes local decision-making and agility, allowing for flexibility. Centralized decision-making contradicts this principle, making it the correct choice as it is NOT a feature of a federated model.

Front

What is a key benefit of physically placing analysts with business users?

Back

It accelerates delivery and contextual understanding.

Answer explanation

Placing analysts with business users enhances communication, leading to faster delivery of insights and a better understanding of context, which is crucial for effective decision-making.

Front

What is the main theme of Chapter 10 in the document?

Back

Motivating and managing analysts and developers

Answer explanation

Chapter 10 focuses on 'Motivating and managing analysts and developers', emphasizing the importance of effective leadership and team dynamics in achieving project success.

Front

What does the document suggest about the role of passion in hiring?

Back

It is more important than technical skills

Answer explanation

The document emphasizes that passion is more important than technical skills in hiring, suggesting that a candidate's enthusiasm and commitment can outweigh their technical abilities.