Business Intelligence Data Warehousing Data

Published on June 2016 | Categories: Types, Business/Law | Downloads: 64 | Comments: 0 | Views: 536
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Business InteIIigence : Data
Warehousing, Data Mining
and Data AnaIytic
By
Ramesh chandra Das(11BM91F02)
Sudipta Das(11BM91R01)
Success of business depends on
· Respond quickly and flexibly to market changes and
opportunities
· Effective and efficient use of data and information
Data can be viewed as either transactionaI or anaIyticaI
%! vs. Data warehouse
0nline Tiansaction Piocessing (0LTP) oi tiansactional uatabase
- Beal with the eveiyuay iunning of one aspect of an enteipiise
· Generates summaries and reports
- 0se cuiient uata , continually upuateu
- Noimalizeu table stiuctuie (many tables, few columns pei
table)
- Simple to complex queiies
%! vs. Data warehouse continued...
A data warehouse is the data repository of an enterprise
· Used for research and decision support
· Consolidation of information resources
· Use historic data
· De-normalized table structure (few tables, many columns
per table)
· Usually very complex queries
· Foundation for data mining, data visualization, advanced
reporting and A! tools
Business Ìntelligence(BÌ)
Def: Business intelligence is a process comprised of tools, skills
for data analysis, visualization and presentation to the end users
· BÌ pulls all data together, correlates it and analyze it to help
better decision making
· Sources of data
4 %ransactionbased
4 Distributed systems
4 Databases
Evolution of business
intelligence
AppllcaLlon of buslness lnLelllgence
·A hoLel franchlseť AppllcaLlon Lo complle sLaLlsLlcs on average
occupancy and average revenue generaLed per room
· A 8ank ť 8rldges a legacy a daLabase wlLh deparLmenLal
daLabase
·A 1elecommunlcaLlonť MalnLaln a mulLlLerbyLe declslon
supporL daLa
·A company wlLh 8Cl
!urpose of BÌ
· %o view data from muItipIe sources in a singIe view
· %o view summaries of data from different pIaces
· %o view data over time, comparing data
· %o ask "what if" questions
Basic Understanding of BI
Source:Business Ìntelligency: Concepts, Components,%echniques and Benefits By Jayanti Ranjan
BI Architecture
Source: Ìntroduction to Ìnformation %echnology, 2nd Edition. by %urban, Efraim, R. Kelly Rainer, Jr., and
Richard E. !otter.
%echnical verview of BÌ
· Data mapping : Connect to business data in its current
location, organize optimaly for fast querying of data
· Data loading: Referred to as Extract, %ransform, and
oad(E%)
4 Extract:Data is extracted from one database
4 %ransform:%ransformed into a different structure to
standardize
4 oad:oaded into the BÌ system
ot aII data are transferred to the data warehouse,onIy a summary of the
data is transferred
E%
Characteristics of Data Warehousing
· rganization
· Consistency
· %ime variant
· onvoIatiIe
· ReIationaI
Data Mart
.
Def: A data mart hoIds data reIated to a portion of a
strategic business unit (SBU) or department.
· Bottom-up approach: Data warehouses are buiIt from a
coIIection of data marts
· %op-down approach: %he Iarger data warehouse is buiId
first, then break it down into departmentaI data marts
Metadata
· %hey are data about data.
· Ìnclude software programs about data, rules for organizing
data, and data summaries that are easy to index and
search, especially with Web tools.
nIine AnaIyticaI Processing (AP)
A! is an information system that enables the user to query
the system, conduct an analysis and generate the results
online
· A data warehouse is essentially readonly
· A! includes writeback capabilities
· Find complex relationship
· Asking "what if,¨ without modifying any of the historical
data
· Summarizes historical, multidimensional data
Analysis
· %wodimensional form: Ex. Spreadsheets
· Multidimensional analysis: Ex. !ivot %able
· !redictive analysis
'isualization
· Web browser
· ive chart
· Reporting
· Dashboards
· Scorecards
· Submit queries and receive resuIts
4 aturaI Ianguage queries
4 GraphicaI query
4 Query Ianguages
Data mining
Def: A process of extracting patterns from a Iarge
database; automates the process of finding predictive
information
Data mining yieIds five types of information:
1. Association: ReIationships between events
2. Sequences: ReIationships that exist over a period of time
3. CIassifications: %he defining characteristics of a certain group
4. CIusters: Groups of items that share a particuIar characteristic
5. Forecasting: Future vaIues based on patterns
%he Benefits of BI
· owering costs, improve operational efficiency
· Ìncreasing revenue
· Ìmproving customer satisfaction
Dashboard
Source: Microsoft Business Ìntelligence on racle By Douglas McDowell
Source: Microsoft Business Ìntelligence on racle By Douglas McDowell
Source: Microsoft Business Ìntelligence on racle By Douglas McDowell
Source: Microsoft Business Ìntelligence on racle By Douglas McDowell
Source: Microsoft Business Ìntelligence on racle By Douglas McDowell
Future of Business Ìntelligence
%Dsers are demandlng 8eal Llme 8l or near real Llme analysls
relaLlng Lo Lhelr buslness
%1he demand for up Lo daLe and fresh lnformaLlon ln Lhe same
fashlon as sLock quoLes onllne
%MonLhly and even weekly analysls
References
1. Microsoft Business Ìntelligence on racle By Douglas McDowell
2.Achieving Business Ìntelligence in Midsize Companies by Don Jones
3. Google.com

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