What is a logical data structure that details the relationship among data elements using graphics or pictures group of answer choices?

What is a logical data structure that details the relationship among data elements using graphics or pictures group of answer choices?

1.Completeness, consistency, accuracy, timeliness, uniqueness

INCORRECT

No answer given

THE ANSWER

Common characteristics of high-quality information

2.Rules that enforce basic and fundamental information-based constraints. e.g. not allowing someone to order

zero pounds of raw materials from a supplier

INCORRECT

No answer given

THE ANSWER

Relational integrity constraints

3.Reveals the relationship between variables along with the nature and frequency of the relationships.

INCORRECT

No answer given

THE ANSWER

Associated detection

4.Analyzes unstructured data associated with websites to identify consumer

behavior and website navigation.

INCORRECT

No answer given

THE ANSWER

Web mining

5.Analyzes unstructured data to find trends and patterns in words and sentences.

INCORRECT

No answer given

THE ANSWER

Text mining

Extent of detail within information

Common types of information

1. Level 2. Format 3. Granularity

Different Information levels

1. Individual 2. Department 3. Enterprise

Different information formats

1. Documents 2. Presentation 3. Spreadsheet 4. Database

Different Information Granularities

1. Detail 2. Summary 3. Aggregate

Traits of Value Information

Type Timeliness Quality Governance

All information contained within single business process or unit of work and primary purpose is to support daily operational tasks (Sales receipt, Airline ticket, Packing slip)

All organizational information and primary purpose is to support performing of managerial analysis task (Product statistics, Sales projections, Future growth, trends)

Immediate up to date info

Real time information in response to requests

Information inconsistency

same data element has different values

Information Integrity issues

when system produces incorrect, inconsistent or duplicate data

5 common characteristics of high quality info

accuracy, completeness, consistency, uniqueness, timeliness

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

maintains info about various types of objects, people, places, events

Database management system DBMS

creates, reads, updates & deletes data in a database while controlling access and security.

Helps users graphically design answer to question against database

Structured Query Langauge

asks users to write lines of code to answer questions against database

the smallest or basic unit of information. It can include a customer’sname, address, email, discount rate, preferred shipping methods, product name,quantity ordered, and so on   

logical data structures that detail the relationships among dataelements using graphics or pictures

Provides details about data

compiles all of metadata about the data elements in data model

Relational database model

stores info in form of logically related two dimensional tables

Relational management System

allows users to create, read, update, and delete data

stores information about person, place, thing, transaction or event

data elements associated with entity

collection of related data elements

field that uniquely identifies given record

Primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between two tables

Relational database for business advantages

Increased Flexibility Increased scalability and performance Reduced information redundancy Increased Information integrity Increased Information security

deals with physical storage of info on storage device

focuses on how individual users logically access information to meet their own particular business needs

duplication of data or storage of same data in multiple places

measure of quality of info

rules help ensure quality of info 1. relational 2. business critical

Relational integrity constraints

rules that enforce basic and fundamental information-based constraints. (not allow someone to create an order for a nonexistant customer)

how company performs certain aspects of its business and typically results in either yes/ no or true/false

Business-Critical Integrity and constraints

enforce business rules vital to an organizations success and often require more insight and knowledge

a person responsible for creating the original website content

person responsible for updating and maintaining website content

fixed data incapable of change in event of user action

- includes data that change based on user actions

area of a website that stores info about products in a database

interactive website that constantly updates and stays relevant to the needs of customers using a database

website owners can make changes without relying on MIS professionals; users can update data-driven website with little or no training

Easy to Store Large Amounts of Data

Data-driven websites can keep large volumes of information organized, templates, reliability and scalability.

easy to eliminate human errors

data driven websites trap data-entry errors, eliminating inconsistencies while ensuring all information is entered correctly

logical collection of information gathered from many different operational databases that supports business analysis activities and decision making tasks

Extraction, transformation, and loading (ETL)

A process that extracts information from internal and external databases, transforms it using a common set of enterprise definitions, and loads it into a data warehouse. Then sends it to data mart

contains subset of data warehouse information

Representation of multidimensional information

Information Cleansing or Scrubbing

process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information
occurs during ETL process, and then again once information is in the data warehouse

determines the accuracy and completeness of data

process of analyzing data to extract info not offered by raw data alone

variety of techniques to find patterns and relationships in large volumes of information that predict future

- already in a database or a spreadsheet

do not exist in fixed location and can include text documents, PDF, voice messages, emails and so on

Text Mining (Data Mining)

Analyzes unstructured data to find trends/patterns in words/sentences

analyzes unstructured data associated with websites to identify consumer behavior and website navigation 

technique used to divide info sets into mutually exclusive groups such that the members of each group are as close together as possible to one another and different groups are far apart as possible

Reveals the relationship between variables with the nature and frequency of the relationships.

Items such as websites and checkout scanner information detect customers buying behavior and predict future behavior by identifying affinities among customer choices of products and services

Performs such functions as information correlations, distributions, calculations, and variance analysis

Time-staped information collected at a particular frequency

predictions based on time series information

accessing large amounts of data from different management information

displays info graphically so it can be easily understood

describes technologies that allow users to see or visualize data to transform information into business perspective

Move beyond excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time series graphs and more

Business intelligence dashboards

Track corporate metrics such as critical success factors and key performance indicators and include advanced capabilities such as interactive controls allowing users to manipulate data for analysis

What is a logical data structure that details the relationship among data elements?

A logical data model establishes the structure of data elements and the relationships among them. It is independent of the physical database that details how the data will be implemented. The logical data model serves as a blueprint for used data.

What is the logical structure of data?

Logical data structures are data models, and are sometimes called entity-relationship (ER) models or even entity-attribute-relationship models. Databases mirror aspects of the real world. In effect databases are computerised models - simple-structure models - of more complex processes.
A database is an organized collection of interrelated data that serves a number of applications in an enterprise.

What are entities that exist to represent the relationship between two other entities?

Entities that exist to represent the relationship between two or more other entities are known as composite entities.