Business Intelligence explained in simple terms.

1. Hello!

2. Anik Faisal
B1405017

3. M.I.S.
PRESENTATION

4. Business
Intelligence
Topic

5. Definition
the set of techniques and tools for the
transformation of raw data into
meaningful and useful information for
business analysis purposes.

6. which basically means…
ways of transforming
data into usable
business information!

7. now,
data may be hard to find.

8. He told me unless we get married they won’t
leave us alone. So we decided to let things slide
a bit. After hours and hours of searching, we
couldn't find any food. We know if we didn't eat
soon, we will die. So with pure desperation and
sadness, we planned on stealing some food from
the neighbors. How to came to this conclusion
was obvious. We had to find food before we
were seen by them.

9. He told me unless we get married they won’t
leave us alone. So we decided to let things slide
a bit. After hours and hours of searching, we
couldn't find any food. We know if we didn't eat
soon, we will die. So with pure desperation and
sadness, we planned on stealing some food from
the neighbors. How to came to this conclusion
was obvious. We had to find food before we
were seen by them.

10. which is exactly what
BI(business information) does.

11. 1
2
3
4
5
what happened?
what is happening?
why did it happen?
what will happen?
what do I want to happen?
past
present
future
Questions BI is designed to answer5

12. Example
let’s take
customer demand
for instance

13. howwerethecustomersdemands?
howarethedemandschanging?
whyarethedemandschanging?
whatwillthe demandsbeinfuture?
whatcanidoaboutthechainingdemands?

14. see?!

15. all of it can be answered using BI.

16. Example
now for real life
examples of BI

17. Example
IBMmodel
1958

18. BI vision
Improving organizations by providing
business insights to all employees
leading to better, faster, more
relevant decisions.

19. If we divide them according to the
level of ‘intelligence usage’, there are
4types of users.
BI is used by various level of people.

20. 1 2
3 4
4the kinds of users
Basic users Casual users
Super usersFunctional users
THEYaREYOUR baSic viEWERS FOR
WHOm iNFORmaTiON iS SUmmaRiZED.
THEYHavE THE abiliTYTO REFRESH
REPORTS aND DO HiGH lEvEl RESEaRcH
aND aNalYSiS.
THEYHavE THE abiliTYTO DEvElOPTHEiR
OWN AD HOc QUERiES aND PERFORm
OLAPaNalYSiS.
THEYHavE FUll PRivilEGES TO ExPlORE
aND aNalYZE THE DaTaWiTH THE BI
aPPlicaTiONS.

21. if we attempt to divide BI
into different stages, we
would get
5 stages.
and they are…

22. 1
the DATA
DEFiNiNG WHicH DaTaWill bE lOaDED iN THE SYSTEmaND aNalYZED.
All the information is stored here.
Often an OLAP(online analytical processing) type data source.
Used for reporting
May form base of data warehouse or BI tools

23. 2
the ETL (extract, transform, load) Engine
mOviNG THE SOURcE DaTaTO THE DaTaWaREHOUSE.
This can be a complex step involving modifications and calculations on
the data itself.
If this step doesn’t work properly, the BI solution simply cannot be effective.

24. 3
Data Warehousing
DaTaWaREHOUSiNG iS THE PROcESS OF cONSTRUcTiNG aND USiNG DaTaWaREHOUSES
A data warehouse is an analytically oriented, integrated, time-variant,
and nonvolatile collection of data that supports decision making
processes.
Large databases that aggregate data collected from multiple sources.

25. 4
Analytic Engine
aNalYZES mUlTiDimENSiONal DaTa SETS FOUND iN a DaTa
WaREHOUSE TO iDENTiFYTRENDS, OUTliERS, aND PaTTERNS
Data Mining
is the process of extracting patterns from data
It is commonly used in a wide range of profiling practices, such as marketing,
surveillance, fraud detection and scientific discovery

26. 5
Presentation Layer
THE DaSHbOaRDS, REPORTS aND alERTS THaT PRESENT FiNDiNGS FROmTHE
aNalYSiS.
Typically Technology Agnostic
Represents all the information

27. All that information is obviously
used for decision making.

28. and so

29. the
Decision making
process

30. 1
2
3
Strategic
Tactical
Operational
Who makes What decisions
Lower management+structured decisions
MIDdle management+semi-structured decisions
top management+unstructured decisions

31. that is all!

32. thank you…