Transcript Presentaion for BHOOMI Business Intelligent pilot project to Secretary

BUSINESS INTELLIGENCE
FOR
DECISION SUPPORT SYSTEMS
P LENIN
TECHNICAL DIRECTOR
NATIONAL INFORMATICS CENTRE
MINISTRY OF COMMUNICATION & IT
NEW DELHI -110 003.
1
Why Now, Not Then?
DATA AVAILABILITY
–MASSIVE
AMOUNT /ELECTRONIC FORM
–WIDESPREAD USE OF APPLN SYSTEMS
–POWERFUL H/W, PARALLEL SYSTEMS
–NEW S/W TECHNOLOGY
2
DEMAND FOR DATA
Growing gap
Source: Gartner Group
3
ER MODEL
P&V
DB
Admin
-I
District
Admin
-II
States
Appln
Div.
Purchas
e
Projects
Web
Services
DG
Office
Library
NICSI
ABC
Div.
A/C
Div
User
Min.s
XYZ
Div.
Stores
Div
Contact
LMN
Division
4
WHY BUSINESS INTELLIGENCE SOLUTIONS ?
BI SYSTEMS  NOT A REPLACEMENT FOR RDBMS/OLTP
 TO COMPLEMENT RDBMS/OLTP SYSTEMS
 FOR PLANNERS AND DECISION MAKERS
* USE WHEREVER AND WHENEVER /WEB BASED
* MINIMUM DEPENDENCY ON IT PROFESSIONAL
* EXTRACT IMPLICIT KNOWLEDGE/PATTERN
5
WHY BI/ DATA WAREHOUSE?
-NEED OF INFORMATICS REQUIREMENT IS DYNAMIC
-ALSO NEED OF EVERY DEPTT VARIES
[SECRETARY/COMMISSIONER/JT.COMM/DY.COMM.]
-INTEGRATED/SHARED INFORMATION
•DESIGN NOT SUITABLE FOR BUSINESS ANALYSIS
• LIMITED ANALYSIS
• DATA CONTENT CHANGES
• VIEWS BASED ON OBJECTIVES
• REASONING [EX. PDS PUNJAB/ORISSA]
6
WHY BI TECHNOLOGY?
- TO HANDLE DATA FROM MUTI-SOURCE
- TO HANDLE LARGE VOLUME OF DATA
- MULTIDIMENSIONAL –DRILL THRU-ANALYSIS
- PRESERVE AND USE THE HISTORICAL DATA
- TO EXTRACT HIDDEN KNOWLEDGE/PATTERN
- TO DO AD HOC QUERY
:
:
7
WHAT BENEFITS YOU GET OUT OF DW?
* EASIER FOR END USERS TO NAVIGATE,
UNDERSTAND AND QUERY
• ENABLE QUERIES THAT CUT ACROSS
DIFFERENT SEGMENTS
• COMPLEX QUERY IN NORMALIZED DB
CAN BE BUILD EASILY
• EFFICIENT WAY TO MANAGE AND REPORT
• PROVIDES THE CAPABILITY TO ANALYZE LARGE
AMOUNT OF HISTORICAL DATA
8
Data Warehouse


W H INMON,
A DW IS A
SUBJECT ORIENTED (Vs APPLN. ORIENTED),
 INTEGRATED,
 TIME VARIANT (HISTORICAL vs. CURRENT),
 NONVOLATILE (STABLE vs. CONTINUOUS CHANGE)
COLLECTION OF DATA IN SUPPORT OF MANAGEMENT‘S
DECISION MAKING PROCESS.

Maintained separately from the organization’s operational
database
9
A SAMPLE DATA CUBE /DIMENSION MODEL
2Qtr
3Qtr
4Qtr
sum
Total of all
product sales
by country
and quarter
Total annual sales
by country and product
U.S.A
CHINA
INDIA
Country
TV
PC
DVD
sum
1Qtr
Date
Total of all
item sales in
all countries
by product
sum
Total annual
sales of all
items by
Country
Total annual
sales.
Total of all product sales in all countries by quarter
10
DATE
ORDER
NO
08/08/04
1
2
3
4
5
09/08/04
CARS SOLD
SANTRO
5
3
2
2
3
MARUTI
2
0
6
2
3
1
3
7
2
2
4
1
3
0
11
CARS SOLD
Date
Santro
Maruti
08/08/04
15
13
09/08/04
9
8
NO OF RECORDS REDUCED BY AGGREGATION
12
Transformation of Data
Information
Exploration / analysis
SQL reporting
Warehouse
Cleansing / normalization
Data
Transaction processing
13
Basic elements of Data warehouse
OPERATIONAL
SOURCE
SYSTEM
DATA
STAGING
AREA
DATA
PRESENTATION
AREA
Services:
Extract
Extract
Clean, combine,
and standardize
Conform
Dimensions
No user query
services
DATA
ACCESS
TOOLS
Data Mart #1
Load
Dimensional
Atomic and
summary data
Based on a
single business
process
Ad hoc query tools
Access
Report Writers
Analytical
Applications
Data Store:
DW Bus:
Flat files and
relational tables
Conformed facts
and dimensions
Modeling:
Processing:
Extract
Sorting and
sequential
processing
Forecasting
Data Mart #2
Scoring
Access
Load
Similar design
Data Mining
14
METADATA
METADATA
15
THE OLAP SOLUTION
A PROCESS OF
FAST ANALYSIS OF SHARED MULTIDIMENSIONAL
INFORMATION
--ENTERPRISE-WIDE DATA ANALYSIS
16
OLAP
- FAST ?
- WHAT ANALYSIS?
- SHARED
- MULTIDIMENSIONAL
ON ENTERPRISE-WIDE DATA
VIEW FROM DIFFERENT ANGLE
17
** What all with OLAP?
# Drill-down Process (Browsing)
Time
LOCATION
SOURCE
Year
REGION
SALES TAX
Quarter
STATE
CEN.EX
Month
District
VAT
Week
City
XYZ
18
BI SYSTEMS DEVELOPMENT IN NIC
• SOCIO ECONOMIC DATA OF UP
• BHOOMI LAND RECORDS
• IRRIGATION SURVEY DATA
• SPECIAL FRAUD INVESTIGATION
• FERTILIZER PROD/MOVT/CONSUMPTION
• EXPORT/IMPORT OF MAJOR COMM+INDEXES
FOR RIS/COMMERCE MIN.
* CUSTOMS IMPORT
--- ALL AT NIC HQR.
19
BI SYSTEMS DEVELOPMENT IN NIC
STATE UNITS:
• KERALA
Treasury Expenditure
Sub-Reg Office Stamp Duty Collection
Civil Supplies Office Expense
Disease survelliance
• TAMIL NADU
Child Labour
Education
• MAHARASHTRA/PUNE
• ANDHRA PRADESH
• GUJARAT
20
CUSTOMS IMPORT DATA
LIMITED INPUT
CUSTOMS IMPORT DATA
ITEM LEVEL DATA
[Bill of Entry, Assessment value, Duty, Duty Foregone,
CTH, CETH, BCD NOTFN, ….]
20 SITES ONLY
TIME RANGE: APRIL 2003 TO DEC. 2004
DATA SIZE = 1.45 Cr RECORDS = 5GB
21
NIC DW ARCHITECTURE
RETRIEVE
STORAGE
AREA
NETWORK
(SAN)
Extract
DATA SERVER
(ORACLE 9i/10G)
Store
ETL
(DECISION STREAM)
Load
DATA SOURCE
CLIENT
Request
COGNOS SERVER
 POWERPLAY
 REPORTNET
To access & change the
layout of Powerplay and
ReportNet reports…
 CLEMENTINE
Response
WINDOWS 2000 SERVER
(OS)
22
BI FOR BHOOMI LAND RECORDS
- TO DEMONSTRATE THE POWER OF BI TECH
- JOINT EFFORT BY A&M DIV AND NIC-KSU
- NIC KSU …DOMAIN EXPERT
- A&M DIV AS BI TECH EXPERT
- FOR KANNADA LANGUAGE TOOK ASSISTANCE
FROM KEYSOFT
23
BI SYSTEM PLAN FOR KSU STATE
• USE THE HW/SW FACILITIES AT THE HQRS.
• KEEP THE DATA AT KSU SERVER AND USE HQR
FACILITIES FOR SW
• HAVE BOTH HW AND SW IN THE KSU SERVER
24