Deck 6: Data: Business Intelligence
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Deck 6: Data: Business Intelligence
1
Real-time systems provide real-time information in response to requests.
True
Real-time systems provide real-time information in response to requests.
Real-time systems provide real-time information in response to requests.
2
Master data management (MDM)is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems. MDM is commonly included in data governance.
True
Master data management (MDM)is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems. MDM is commonly included in data governance.
Master data management (MDM)is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems. MDM is commonly included in data governance.
3
Real-time information refers to the extent of detail within the information (fine and detailed or coarse and abstract).
False
Information granularity refers to the extent of detail within the information (fine and detailed or coarse and abstract).
Information granularity refers to the extent of detail within the information (fine and detailed or coarse and abstract).
4
Data governance refers to the overall management of the availability, usability, integrity, and security of company data.
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5
Data governance is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems.
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6
Information integrity issues occur when the same data element has different values.
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7
The four primary traits of the value of information include type, timeliness, quality, and governance.
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8
Information quality refers to the extent of detail within the information (fine and detailed or coarse and abstract).
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9
Information integrity issues occur when a system produces incorrect, inconsistent, or duplicate data.
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10
Reports for each sales person, product, and part are examples of detail or fine information granularities.
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11
Information granularity refers to the extent of detail within the information (fine and detailed or coarse and abstract).
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12
Timely information must be up-to-the-second to be accurate.
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13
Organizational information comes at the same level, formats and granularities.
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14
Organizational information has three characteristics including levels, formats, and granularities.
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15
Transactional information is used when performing operational tasks and repetitive decisions such as analyzing daily sales reports and production schedules to determine how much inventory to carry.
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16
If a manager identifies numerous information integrity issues he should consider the reports generated from that data as invalid and not use them when making decisions.
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17
There are only two main primary traits that help you determine the value of information including timeliness and quality.
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18
The four primary traits of the value of information include levels, formats, granularities, and type.
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19
Information granularity means immediate, up-to-date information.
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20
Organizational information has three characteristics including timeliness, quality, and governance.
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21
Data validation includes the tests and evaluations used to determine compliance with data governance polices to ensure correctness of data.
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22
Determining if all total columns equal the true total of the individual item is an example of a consistent characteristic of high-quality information.
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23
Identity management is the practice of gathering data and ensuring that it is uniform, accurate, consistent, and complete, including such entities as customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated across organizational systems.
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24
Data latency includes the tests and evaluations used to determine compliance with data governance polices to ensure correctness of data.
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25
Consistent information asks if there is a value missing from the information.
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26
Unique information asks if the information current with respect to the business needs.
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27
Consistent information asks if the aggregate or summary information in agreement with detailed information.
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28
Accurate information asks if the aggregate or summary information in agreement with detailed information.
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29
Determining if there are any duplicate customers in the data is an example of a unique characteristic of high-quality information.
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30
Accurate information asks if there is an incorrect value in the information.
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31
Timely information asks if the information current with respect to the business needs.
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32
Determining if a name is spelled correctly is an example of an accurate characteristic of high-quality information.
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33
Timely information asks if each transaction and event represented only once in the information.
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34
Unique information asks if each transaction and event represented only once in the information.
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35
A data gap analysis occurs when a company examines its data to determine if it can meet business expectations, while identifying possible data gaps or where missing data might exist.
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36
Data stewardship is the management and oversight of an organization's data assets to help provide business users with high-quality data that is easily accessible in a consistent manner.
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37
Complete information asks if there is an incorrect value in the information.
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38
Complete information asks if there is a value missing from the information.
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39
A data steward is responsible for ensuring the policies and procedures are implemented across the organization and acts as a liaison between the MIS department and the business.
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40
Data validation helps to ensure that every data value is correct and accurate. In Microsoft Word, you can use data validation to control the type of data or the values that users enter into a cell.
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41
There are three primary data models for organizing information including the hierarchical, network, and relational database models.
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42
Determining if information is updated weekly, daily, or hourly is an example of an accurate characteristic of high-quality information.
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43
Foreign key is a primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.
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44
MMSDB creates, reads, updates, and deletes data in a database while controlling access and security.
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45
Data models are logical data structures that detail the relationships among data elements by using graphics or pictures.
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46
Record is a collection of related data elements
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47
Relational database model stores information in the form of logically related two-dimensional tables.
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48
Primary key is a field (or group of fields)that uniquely identifies a given record in a table.
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49
Metadata provides details about data. For example, metadata for an image could include its size, resolution, and date created.
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50
Attributes (also called columns or fields)are the data elements associated with an entity.
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51
Data element (or data field)is the smallest or basic unit of information.
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52
Data dictionary compiles all of the metadata about the data elements in the data model.
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53
A foreign key provides details about data.
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54
Relational database management system allows users to create, read, update, and delete data in a relational database.
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55
A foreign key is a field (or group of fields)that uniquely identifies a given entity in a table.
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56
A primary key is the smallest or basic unit of information.
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57
Metadata are logical data structures that detail the relationships among data elements by using graphics or pictures.
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58
Data elements can include a customer's name, address, email, discount rate, preferred shipping method, product name, quantity ordered, and so on.
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59
Data models can include a customer's name, address, email, discount rate, preferred shipping method, product name, quantity ordered, and so on.
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60
The core component of any system, regardless of size, is a database and a database management system.
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61
A business rule defines how a company performs certain aspects of its business and typically results in either a yes/no or true/false answer.
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62
Databases offer many security features including passwords to provide authentication, access levels to determine who can access the data, and access controls to determine what type of access they have to the information.
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63
Structured query language compiles all of the metadata about the data elements in the data model.
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64
The physical view of information focuses on how individual users logically access information to meet their own particular business needs.
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65
The logical view of information focuses on how individual users logically access information to meet their own particular business needs.
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66
Integrity constraints are rules that help ensure the quality of information.
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67
A DBMS provides details about data.
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68
The physical view of information deals with the physical storage of information on a storage device.
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69
A business catalog defines how a company performs certain aspects of its business and typically results in either a yes/no or true/false answer.
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70
Information integrity is a measure of the quality of information.
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71
A foreign key uniquely identifies a given record in a table.
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72
Information redundancy is the duplication of data, or the storage of the same data in multiple places.
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73
Information redundancy is the duplication of data, or the storage of the same data in multiple places.
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74
Relational integrity constraints are rules that enforce basic and fundamental information-based constraints.
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75
A field is a collection of related data elements
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76
hierarchical database model stores information in the form of logically related two-dimensional tables.
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77
The logical view of information deals with the physical storage of information on a storage device.
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78
A primary key is a foreign key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.
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79
Relational databases offer many advantages over using a text document or a spreadsheet, which include decreased flexibility and decreased scalability and performance.
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80
Entities are the data elements associated with an attribute.
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