Untitled Deck Flashcards

(32 cards)

1
Q

What are the two main types of data?

A

Transactional Data and Analytical Data

Transactional Data supports daily operations, while Analytical Data supports managerial decisions and analysis.

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2
Q

Define transactional data.

A

Supports daily operations (e.g., sales, payroll, purchases)

Transactional data is essential for routine business activities.

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3
Q

Define analytical data.

A

Supports managerial decisions and analysis (e.g., trends, forecasts)

Analytical data helps in strategic planning and decision-making.

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4
Q

What are the common data types?

A
  • Quantitative
  • Categorical (Textual)
  • Dates/Times
  • Boolean
  • Multimedia

Each data type serves different purposes in data analysis.

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5
Q

What is the definition of real-time data?

A

Updated immediately

Real-time data allows for instant insights and actions.

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6
Q

What are the characteristics of high-quality data?

A
  • Accurate
  • Consistent
  • Complete
  • Timely
  • Unique

High-quality data is crucial for effective decision-making.

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7
Q

What problems arise from bad data?

A
  • Data inconsistency
  • Integrity issues

Bad data can lead to significant operational challenges.

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8
Q

List the causes of low-quality data.

A
  • Customers enter fake/inaccurate data
  • Different formats/entry standards
  • Operator errors or shortcuts
  • External/third-party errors

These causes can severely impact data reliability.

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9
Q

What are the effects of low-quality data?

A
  • Can’t track customers accurately
  • Hard to find valuable customers
  • Missed sales opportunities
  • Wasted marketing
  • Weak customer relationships

Low-quality data can lead to financial losses and poor customer engagement.

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10
Q

What is a data steward?

A

Ensures data policies and procedures are applied across the company

Data stewards play a crucial role in data governance.

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11
Q

Define data governance.

A

Overall management of availability, usability, integrity, and security of data

Effective data governance is essential for maintaining data quality.

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12
Q

What does Master Data Management (MDM) ensure?

A

Data is uniform, accurate, consistent, complete

MDM is vital for maintaining the integrity of key business data.

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13
Q

What is data validation?

A

Tests/evaluations to check data quality

Data validation helps identify and correct errors in data.

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14
Q

What is a database?

A

Stores data about objects, events, people, and places

Databases are fundamental for data storage and retrieval.

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15
Q

What does DBMS stand for?

A

Database Management System

DBMS software allows users to manage and manipulate data.

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16
Q

What is a data element?

A

Smallest unit of data

Data elements are the building blocks of databases.

17
Q

What is metadata?

A

Data about data (definitions, details)

Metadata provides context and meaning to data elements.

18
Q

Define primary key.

A

Uniquely identifies each record

Primary keys are essential for maintaining data integrity in databases.

19
Q

What is a foreign key?

A

Primary key from another table, creates relationships

Foreign keys establish connections between different tables in a database.

20
Q

List the business advantages of relational databases.

A
  • Flexibility
  • Scalability & Performance
  • Reduced Redundancy
  • Integrity
  • Security

Relational databases provide numerous benefits for data management.

21
Q

What is the problem often faced by companies regarding data?

A

Data rich but information poor

This highlights the need for effective data analysis and management.

22
Q

What is a data warehouse?

A

Central repository combining data from multiple sources for decision-making

Data warehouses facilitate comprehensive data analysis.

23
Q

What is ETL?

A

Extract, Transform, Load

ETL is a critical process in data warehousing.

24
Q

Define data lake.

A

Large repository storing raw data in original format until needed

Data lakes allow for flexible data storage and access.

25
What is data cleansing (scrubbing)?
Removes/fixes dirty data (incomplete, inconsistent, incorrect) ## Footnote Data cleansing ensures data reliability for analysis.
26
What is data visualization?
Turning data into charts/graphics for insights ## Footnote Data visualization helps in understanding complex data sets.
27
What is distributed computing?
Processing across multiple machines ## Footnote Distributed computing enhances processing power and efficiency.
28
What is a blockchain?
Distributed ledger, tamper-proof, permanent ## Footnote Blockchain technology ensures data integrity and security.
29
What is the genesis block?
First block in the chain ## Footnote The genesis block is foundational to blockchain technology.
30
What does proof-of-work refer to?
Mining process to verify transactions + create new digital currency ## Footnote This method is widely used in cryptocurrency networks.
31
What are the traits that determine data value?
* Accuracy * Consistency * Timeliness * Uniqueness ## Footnote These traits are essential for assessing the quality of data.
32
What are the advantages of business intelligence (BI) for decision-making?
* Reliable data aggregation * Consistent analysis * Understandable insights ## Footnote BI tools enhance the decision-making process by providing actionable insights.