Create an account
the extent of detail within the information (fine and detailed or coarse and abstract)
type (transactional and analytical), timeliness, and quality
Characteristics that help determine the value of information
encompasses all of the information contained within a single business process or unity of work, and its primary purpose is to support the performing of daily operational tasks (ex. airline ticket, sales receipt, packing slip, etc.)
encompasses all organizational information, and its primary purpose is to support the performing of managerial analysis tasks (ex. product statistics, sales projections, future growth, and trends)
provide real-time information in response to query requests; make faster and more effective decisions, keep smaller inventories, operate more efficiently, and track performance more carefully
What do many organizations use to exploit key corporate transactional information?
5 common characteristics of high quality information
Accuracy, completeness, consistency, uniqueness, and timeliness
Issues with low quality information
missing information, incomplete information, probably duplication, potential wrong information, inaccuracy information, and incomplete information
online customers intentional enter inaccurate information to protect their privacy, different systems have different information entry standards and formats, call center operators enter abbreviated or erroneous information by accident or to save time, 3rd party and external information contains inconsistencies, inaccuracies, and errors
4 primary sources of low quality information
Database management system (DBMS)
software through which users and application programs interact with a database
Databased models (data models)
number of different ways of organizing a schema/modeling the database structure
maintains information about various types of objects (inventory), events (transactions), people (employees, and places (warehouses)
Hierarchical database model
information is organized into a tree-like structure that allows repeating information using parent/child relationships in such a way that it cannot have too many relationships
network database model
flexible way of representing objects and their relationships; allows each record to have multiple parent and child records, forming a lattice structure
relational database model
type of database that stores information in the form of logically related two-dimensional tables
in the relational database model, is a person, place, thing, transaction, or event about which information is store
field (or group of fields) that uniquely identifies a given entity in a table; provide a way of distinguishing each entity in a table
primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the 2 tables
advantages of database information
increased flexibility, increased scalability and performance, reduced information redundancy, increased information integrity (quality), and increased information security
relational integrity constraints
rules that enforce basic and fundamental information-based constraints
interactive website kept constantly updated and relevant to the needs of its customers through the use of a database; especially useful when the site offers a great deal of information, products, or services and/or continually changing information
data-driven website advantages
development, content management, future expandability, minimizing human error, cutting production and update costs, more efficient, & improved stability
takes information entered into a given system and sends it automatically to all downstream systems and processes
takes information entered into a given system and sends it automatically to all upstream systems and processes
logical collection of information--gathered from many different operational databases--that supports business analysis activities and decision-making tasks
extraction, transformation, and loading
process that extracts information from internal and external database, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse
information cleansing or scrubbing
process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information
use a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision-making
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