Intro to Business Information Systems: Ch 6 Flashcards
data granularity
refers to extent of detail within data (fine/detailed or coarse/abstract)
Levels of organizational data
individual, department, enterprise
Formats of organizational data
Document, Presentation, Spreadsheet, Database
Granularities
Detail (Fine) - reports for a salesman, Summary - reports for all salespeople, Aggregate (Coarse) - reports across departments/organizations
4 Primary traits of value of data
Data type, data timeliness, data quality, data governance
transactional data
all data contained in a single business process/unit of work and its primary purpose is to support daily operational tasks
analytical data
all organizational data, and primary purpose is to support performing of managerial analysis tasks
real time data
immediate, up to date data
real time systems
provide real time info in response to requests
data inconsistency
when some data elements has different values
data integrity
measure of quality of data
high quality data
accurate, complete, consistent, timely, unique
low quality data
missing, incomplete, inaccurate, wrong, duplicate
data gap analysis
when company examines data to determine if can meet business expectations, while identifying possible data gaps or missing data
data steward
responsible for ensuring policies/procedures are implemented across organizations and activities as a liaison between MIS department and business
data stewardship
management and oversight of organizations data assets to help provide business users with high quality data that is easily accessible in consistent manner
data governance
refers to overall management of availability, usability, integrity, and security of company data
master data management
practice of gathering data and ensuring it is uniform, accurate, consistent, and complete including entities of customers, suppliers, products, sales, employees, and other critical entities that are commonly integrated a ross organizational systems
data validation
includes tests and evaluations used to determine compliance with data governance policies to ensure correctness of data
database
maintains data about various types of objects (inventory), events (transactions), people (employees), and places (warehouses)
database management system (DBMS)
creates, reads, updates, and deletes (CRUD) data in a database while controlling access and security
structured query language (SQL)
asks users to write lines of code to answer questions against a database
Query by example (QBE) tool
helps users graphically design answers to questions against a database
Data dictionary
compiles all metadata about data elements in the data model