BI, Data mining, Data warehousing, Data.

1. The
Essen(als
of
Business
Intelligence

2. Process
of
intelligence
crea(on
&
BI
Intelligence
crea,on
includes:
• Iden,fying
And
priori,zing
specific
BI
projects
• Measures
to
es,mate
cost
benefit
ra,o
• Cost
of
maintaining
the
applica,on
• Benefit
es,ma,on
Intelligence
crea,on
started
with
• Data
collec,on
Analysis
of
raw
data
to
produce
usable
Appropriate
dissemina,on
Right
user

3. Characteris(cs
of
Business
Intelligence
• Simple
point
to
access
to
informa,on.
• Timely
answer
to
business
ques,ons.
• Using
BI
in
all
departments
of
an
organiza,on.
• Maintain
Quality
and
Consistency
• Manage
Interdependencies
• Align
With
Strategy

4. BI
Implementa(on
• Precondi,on:
Framework
for
planning
• Define
strategic
&
opera,onal
objec,ves.
• Have
a
in
place
plan
to
prepare
the
organiza,on
for
change.
• Assessments
before
any
significant
investment.
• From
assessments:
a
detailed
ac,on
plan
•
Report
of
BI
implementa,on
&
it’s
rela,on
with
other
systems
like
ERP
and
CRM.

5. Structure
And
Components
of
BI
• The
Data
Warehouse:
A
special
database
to
support
decision
making.
• Business
Analy(cs:
To
create
on-­‐demand
reports
and
queries
and
to
conduct
analysis
of
data.
• Data
Mining:
Data
informa,on
analysis
looks
for
hidden
paRerns
in
a
group
of
data.
• Business
Performance
Management:
A
framework
for
defining,
implemen,ng,
and
managing
an
enterprise’s
business
strategy.

7. Data
Warehouse
• Subject
oriented
• Scrubbed
so
that
data
from
heterogeneous
sources
are
standardized
• Time
series;
no
current
status
• Nonvola,le
– Read
only
• Summarized
• Not
normalized;
may
be
redundant
• Data
from
both
internal
and
external
sources
is
present
• Metadata
included
– Data
about
data
• Business
metadata
• Seman,c
metadata

8. Business
Analy,cs
• Ac,vi,es
performed
by
end
users
in
online
systems
– Specific,
open-­‐ended
query
genera,on
• SQL
– Ad
hoc
reports
– Sta,s,cal
analysis
– Building
DSS
applica,ons
• Modeling
and
visualiza,on
capabili,es
• Special
class
of
tools
– DSS/BI/BA
front
ends
– Data
access
front
ends
– Database
front
ends
– Visual
informa,on
access
systems

9. Data
Mining
• Organizes
and
employs
informa,on
and
knowledge
from
databases
• Sta,s,cal,
mathema,cal,
ar,ficial
intelligence,
and
machine-­‐learning
techniques
• Automa,c
and
fast
• Tools
look
for
paRerns
– Simple
models
– Intermediate
models
– Complex
Models

10. Summary
• Quality
and
,meliness
of
business
informa,on
is
extremely
important.
• Industry
analyst
report:
coming
year,
millions
of
people
will
use
BI
visual
tool.
• BI
spreading
it’s
wing
to
cover
small,
medium
and
large
companies.
• Analy,cal
tools
penetra,ng
the
market
for
very
specialized
func,ons.