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system
detailed methods, procedures, and routines that carry out activities, perform a duty, achieve goals or objectives, or solve problems
data
facts that are collected, recorded, stored, and processed by an information system
information
data that have been organized and processed to provide meaning and improve decision making
value of information
the benefit provided by information minus the cost of producing it
information system
the people and technologies in an organization that produce information
business process
set of related, coordinated, and structured activities and tasks, performed by a person, a computer, or a machine, that helps accomplish a specific organizational tool
give-get exchange
transactions that happen a great many times, such as giving up cash to get inventory from a supplier and giving employees a paycheck in exchange for their labor
revenue cycle
activities associated with selling goods and services in exchange for cash or a future promise to receive cash
expenditure cycle
activities associated with purchasing inventory for resale or raw materials in exchange for cash or a future promise to pay cash
production cycle
activities associated with using labor, raw materials, and equipment to produce finished goods
human resources/payroll cycle
activities associated with hiring, training, compensating, evaluating, promoting, and terminating employees
financing cycle
activities associated with raising money by selling shares in the company to investors and borrowing money as well as paying dividends and interest
data analytics
use of software and algorithms to find and solve problems and improve business performance
data dashboard
display of important data points, metrics, and key performance indicators in easily understood line or bar charts, tables, or gauges
blockchain
individual digital records, called blocks, linked together using cryptography in a single list, called a chain
virtualization
running multiple systems simultaneously on one physical computer
cloud computing
using a browser to remotely access software, data storage, hardware, and applications
Internet of Things (IoT)
embedding sensors in devices so they can connect to the internet
value chain
linking all primary and support activities in a business, value is added as a product passes through the chain
primary activities
value chain activities that produce, market, and deliver products and services to customers and provide post-delivery service and support
support activities
value chain activities such as firm infrastructure, technology, purchasing, and human resources that enable primary activities to be performed efficiently and effectively
data processing cycle
four operations (data input, data storage, data processing, and information output) performed on data dto generate meaningful and relevant information
Data Input
data must be collected about: each activity, resources affected by each activity, people who participate in each activity
source documents
documents used to capture transaction data at its source - when transaction takes place
turnaround documents
records of company data sent to an external party and then returned to system as input
source data automation
collection of transaction data in machine-readable form at the time and place of origin (ex: ATMs)
general ledger
ledger that contains summary-level data for every asset, liability, equity, revenue, and expense account of the organization
subsidiary ledger
ledger used to record detailed data for a general ledger account with many individual subaccounts (ex: A/R, A/P, inventory)
coding
systematic assignment of numbers or letters to items to classify and organize them
sequence codes
items numbered consecutively so that gaps in sequence code indicate missing items that should be investigated
block code
blocks of numbers reserved for specific categories of data, thereby helping to organize the data
group codes
two or more subgroups of digits used to code an item, a group code is often used in conjunction with block code
mnemonic codes
letters and numbers interspersed to identify an item
chart of accounts
listing of all number assigned to balance sheet and income statement accounts; account numbers allow transaction data to be coded, classified, and entered into proper accounts
entity
item about which info is stored in a record
field
portion of a data record where data value for a particular attribute is stored; each cell in a spreadsheet is a field
record
a set of fields who data values describe specific attributes of an entity; a row in a spreadsheet is a record
data value
actual value stored in a field; describes a particular attribute of an entity
file
a set of logically related records, such as payroll records of all employees
master file
permanent file of records that stores cumulative data about an organization
data processing activities
creating, reading, updating, deleting
batch processing
accumulating transaction records into groups or batches for processing at a regular interval such as daily or weekly
real-time processing
computer system processes data immediately after capture and provides updated information to users on a timely basis
query
request for database to provide info needed to deal with a problem or answer a question; info is retrieved, displayed or printed, and analyzed as requested
ERP
systems that integrate all aspects of an organization’s activities (accounting, finance, marketing, HR, manufacturing, inventory) into one system
business process diagrams
graphical descriptions of the business processes used by a company
document flowchart
shows the flow of documents and information between departments or areas of responsibility
system flowchart
shows the relationship among the input, processing, and output in an info system
program flowchart
shows the sequence of logical operations a computer performs as it executes a program
data flow diagram
graphical description of data sources, data flows, transformation processes, data storage, and data destinations
internal control flowchart
used to describe, analyze, and evaluate internal controls, including identifying system strengths, weaknesses, and inefficiencies
data store
place or medium where system data is stored
context diagram
highest-level data flow diagram (DFD); a summary-level view of a system
database
a set of interrelated, centrally coordinated data tables stored electronically with as little data redundancy as possible
data warehouse
very large databases containing detailed and summarized data for a number of years used for analysis rather than transaction processing
data mining
using sophisticated statistical analysis to “discover” hypothesized relationships in the data
record layout
document that shows the items stored in a file, including the order and length of the data fields and the type of data stored
schema
a description of the data elements in a database, the relationships among them, and the logical model used to organize and describe the data
external-level schema
an individual user’s view of portions of a database; also called a subschema
data dictionary
info about the structure of the database, including a description of each data element
structured query language (SQL)
standardized commercial programming language designed for managing data in relational database systems
data definition language (DDL)
DBMS language that builds the data dictionary, creates the database, describes logical views, and specifies record or field security constraints
data manipulation language (DML)
DBMS language that changes database content, including data elements creations, updates, insertions, and deletions
data query language (DQL)
high-level, english-like, DBMS language that contains powerful, easy-to-use commands that enable users to retrieve, sort, order, and display data
tuple
a row in a table that contains data about a specific item in a database table
primary key
database attribute, or combo of attributes, that uniquely identifies each row in a table
foreign key
an attribute in a table that is also a primary key in another table; used to link the two tables
relational database
a database built using the relational data model
normalization
following relational database creation rules to design a relational database that is free from delete, insert, and update anomalies
semantic data modeling
using knowledge of business processes and information needs to create a diagram that shows what to include in a fully normalized database
big data
data sets characterized by huge amounts (volume) of frequently updated data (velocity) in various formats (variety), for which the quality may be suspect (veracity)
data volume
the amount of data created and stored by an organization
data velocity
the pace at which data is created and stored
data variety
the different forms data can take
data veracity
the quality or trustworthiness of data
ETL process
set of procedures for blending data; EXTRACT, TRANSFORM, LOAD data
structured data
data that is highly organized and fits into fixed fields
unstructured data
data that has no uniform structure
data marts
data repositories that hold structured data for a subset of an organization
data lake
collection of structured, semi-structured, and unstructured data stored in a single location
dark data
info the organization has collected and stored that would be useful but is not analyzed and is thus generally ignored
data swamps
data repositories that are not accurately documented so that the stored data cannot be properly identified and analyzed
metadata
data that describes other data
flat file
text file that contains data from multiple tables or sources and merges that data into a singe row
delimiter
character, or series of characters, that marks the end of one field and the beginning of the next field
text qualifier
two characters that indicate the beginning and ending of a filed and tell the program to ignore and delimiters contained between the characters
descriptive analytics
information that results from the examination of data to understand the past, answers the question “what happened?”
diagnostic analytics
information that attempts to determine causal relationships, answers “why did this happen?”
predictive analytics
focus on predicting the future, answers “what might happen in the future?”
prescriptive analytics
provide recommendation of what should happen, answers “what should be done?”
data dashboard
display of important data points, metrics, and key performance indicators in easily understood data visualizations
automation
application of machines to automatically perform a task once performed by humans
bot
autonomous computer program designed to perform a specific task
aggregate data
presentation of data in a summarized
data pivoting
a technique that rotates data from rows to columns
data standardization
process of standardizing the structure and meaning of each data element so it can be analyzed and used in decision making
data parsing
separating data from a single field into multiple fields
data concatenation
combining of data from two or more fields into a single field
cryptic data values
data items that have no meaning without understanding a coding schema
misfielded data values
data values that are correctly formatted but not listed in the correct field