Ch. 6 Enhancing Business Intelligence Using Big Data, Analytics, and AI Flashcards

1
Q

Ad Hoc Query

A

tools created because of unplanned information, provide an easy to use interface, allowing managers to run queries and reports themselves without having to know query languages or the structure of the underlying data

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2
Q

online transaction processing (OLTP)

A

provide automated responses to the requests of users, designed to handle multiple concurrent transactions from customers, fixed number of inputs and outputs
enable users to perform ad hoc analyses of different dimensions of data beyond simple data summaries

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3
Q

operational and informational systems

A

operational: can generate wealth of data that can serve as useful inputs into business intelligence and advanced analytics that can be linked to an inventory system but also capture valuable data
informational: systems designed to support decision making based on stable point in time or historical data

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4
Q

data warehouse

A
  • integrate multiple large databases and other data sources into a single repository
  • contains both historic and current data for analysis and reporting
  • is suitable for direct querying, analysis or processing
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5
Q

data cleansing

A

the process of detecting, correcting or removing corrupt or inaccurate data retrieved from different source systems leaded into the data warehouse and are ready for being used for complex analyses

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6
Q

data lakes

A

central repositories allowing for storings structured, semi-structured, and unstructured in a raw format

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7
Q

data marts

A

a data warehouse that is limited in scope, contains selected data from the data warehouse such that each separate data mart is customised for the decision support needs of a particular end user group

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8
Q

data mining

A

provides capabilities for discovering hidden predictive relationships in data
can analyse massive amounts of data to identify characteristics or profitable customers, purchasing patters and credit card transactions

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9
Q

methods of data mining

A

association discovery
sequence discovery
clustering and classification

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10
Q

association discovery

A

a technique used to find associations or correlations among purchased together to redesign the store’s layout and optimise the customer navigational path

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11
Q

sequence discovery

A

used to discover associations over time

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12
Q

clustering and classification

A

clustering: process of grouping related records together based on having similar values fro attributes, finding structure in data
classification: used when the groups are known beforehand and records are segmented into these classes

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13
Q

unstructured data analysis

A

text mining
web content mining
web usage mining

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14
Q

text mining

A

the use of analytical techniques for extracting information from textual documents

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15
Q

web content mining

A

extracting textual information from web documents

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16
Q

web usage mining

A

used by organisations such as amazon to determine patterns in customers’ usage data such as how they navigate through the site or how much time they spend on different pages

17
Q

intelligent agent systems

A

a program that works in the background to provide some service when a specific event occurs
several types of agents for use in a broad range of contexts

17
Q

user agents

A

agents that automatically perform a task for a user, such as automatically sending a report at the first of the month

18
Q

buyer agents

A

agents that search to find the best price for a particular product you wish to purchase, shopping bots

19
Q

monitoring and sensing agents

A

agents that keep track of key data, such as data provided by various sensors, meters, cameras, notifying user when conditions change

20
Q

web crawlers

A

agents that continuously browse the web for specific information

21
Q

data mining agents

A

agents that continuously analyse large amounts of data warehouses to detect changes deemed important by the user, alerting when conditions change

22
Q

chatbots

A

agents that simulate human conversations, such as in online help systems, replacing customer service

23
Q

destructive agents

A

malicious agents designed by spammers and other internet attackers to farm email addresses off website or deposit spyware on machines

24
Q

knowledge management systems

A

refer to the processes an organisation uses to gain the greatest value from its knowledge assets

25
Q

benefits of knowledge management systems

A
  • enhanced innovation and creativity
  • improved customer service, shorter product development, and streamlined operations
  • enhanced employee retention
  • improved organisational performance
26
Q

challenges of knowledge management systems

A
  • getting employee buy-in
  • focusing too much on technology
  • forgetting the goal
  • dealing with knowledge overload and obsolescence
27
Q

geographic information system (GIS)

A

a system for creating, storing, analysing and managing geographically referenced data, augments and extends other business analytic tools by adding a spatial dimension to data