Overview and Concepts Flashcards

1
Q

who needs strategic information in an enterprise?
-are responsible for keeping the enterprise competitive need information to make proper decisions.

A

executives and managers

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2
Q

-combined essential information needed to make decisions in the formulation and execution of business startegies and objectives
-is not for running the day-to-day operations of the business. It is not intended to produce an invoice, make a shipment, settle a chain, or post a withdrawal from a bank account.
-far more important for the continued health and survical of the operation
-critical business decisions depend on the availability of proper strategic inforation in an enterprise.

A

strategic information

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3
Q

(characterisitics of strategic information)
-must have a single, enterprise-wide view.

A

integrated

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4
Q

(chracteristics of strategic information)
-information must be accurate and must conform to business rules.

A

data integrity

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5
Q

(chracteristics of strategic information)
-easily accessible with intuitive access paths, and responsive for analysis.

A

accessible

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6
Q

(chracteristics of strategic information)
-every business factor must have one and only one value.

A

credible

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7
Q

(chracteristics of strategic information)
-information must be available within the stipulated time frame

A

timely

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8
Q

-user needs information
-iser requests reports from IT
-IT places request on backlog
-IT creates ad hoe queries
-IT sends requested reports
-User hopes to find the right answers.

A

The familiar merry-go-round
-inability to provide information (4-6weeks)

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9
Q

-get the data in
-making the wheels of business turn
0take an order
-process a clain
-make a shipment
-generate an invoice
-receive cash
-reserve airline seat

A

operational systems

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10
Q

-get the information out
-watching the wheels of business turn
-show me the top-selling products
-show me the problems regions
-tell me why (drill down)
-let me see other data (drill actions)
-show me te hgihest margins
-alert me when a district sells below target

A

decision-support systems

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11
Q

-serve different purposes
-scopes are different
-data content is different
-the data usage patterns are different
-the data acess types are different

A

informational systems

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12
Q

-a physical repository where relational data (current and historical) are specially organized to provide enterprise-wide, cleansed data in a standardized format.
Operational systems -> Data Trnasformation -> Key Measurements/ Business Dimensions

A

data warehouse

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13
Q

(characteristics of Data Warehouse)
-data are organized by detailed subject containing only information relevant for decision support. It provides a more comprehensive view of the organization

A

subject oriented

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14
Q

(chracteristics of data warehouse)
-data warehouses must place data from different sources into a consistent format.

A

integrated

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15
Q

(chracteristics of data warehouse)
-it contains historical (daily, weekly and monthly) inc additions to current data (real-time).

A

time variant (time series)

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16
Q

(chracteristics of data warehouse)
-data can not be changed or updated after it had been entered into data warehouse. Obsolete (old) data are discarded and changes are recorded as new data.

A

non-volatile

17
Q

(chracteristics of data warehouse)
-designed for web based applications

18
Q

(chracteristics of data warehouse)
-its structure is either relational or multidimensional.

A

relational/multidimensional

19
Q

(chracteristics of data warehouse)
-to be easy to be accessed

A

uses client server

20
Q

(chracteristics of data warehouse)
-this a charcter for new data warehour

21
Q

(chracteristics of data warehouse)
-it is a data about data (about how data are organized and to use them)

A

include metadata

22
Q
  • a logical and physical subset of a data warehouse; in its most simplistic form, represents data from a single business process (e.g., retail sales, retail inventory, purchase orders). Basically, a departmental data warehouse.
23
Q

-a subset that is created directly form a data warehouse

A

dependent data mart

24
Q

-a small data warehouse designed for a strategic business unit (SBU) or a department and its source is not the EDW (Enterprise Data Warehouse)

A

independent data mart

25
-a type of databaseoften used as an interim (temporal) area for a data warehose, especially for cutomer information files.
operational data stores (ODS)
26
-an operational data mart -is a small-scale data mart typically used by a single department or functional area in an organization when they need to analyze operational data.
oper marts
27
- a technology that provides a vehicle for pushing data from source systems into a data warehouse that is used across the eneterpise for decision support.
enterpise data warehouse (EDW)
28
-data about data. In a data warehouse, describes the contents of a data warehouse and the manner of its use.
metadata
29
-organizations continuously collect data, information,and knowledge at an increasingly accelerated rate and store them in compterized systems. -the number of users needing to access the infomration continues to increase as a result of imporved reliability and availability of network access, especially the Internet.
data warehousing process overview
30
-internal, external (data provider), OLAP, ERP, Web data
data sources
31
-using custom-written or commerical software called (ETL)
data extraction
32
-loaded into a staging area to be transformed and cleased, then loaded into the warehouse.
data loading
33
-it is the EDW to support all decision analysis
comprehensive database
34
to enable access to DW. It includes data mining tools, OLAP, reporting tools and data visualization tools
middleware tools
35
-a datawarehouse is designed for analytics transactional models, while efficient for transaction processing, are not good for analytics. --goal of transactiona system is to capture data quicly, Users use the system to do their jobs. --transactional systems are not designed to minimize the time or complexity of retrieving large amount of data for analysis.
use a separate system
36
-designed to extract and query data quickly • Access speed is the main concern • Hence, normalization which is widely used for transactional databases, is generally not appropriate for data warehouse design • Design should reflect multidimensional view
star schema/dimensional model