lecture

lavishgradeSoftware and s/w Development

Nov 25, 2013 (4 years and 1 month ago)

88 views

© 2010 IBM Corporation

Business Analytics software

Business Analytics:

Big challenges and solutions

CS321


Current Uses of Computers in Business and Industry

© 2010 IBM Corporation

Business Analytics software

+

+

The world is getting smarter

Intelligent

Instrumented

Interconnected

220 Billion pieces of
user generated
content exists on
the web today and
200M tweets are
sent daily

In 2008 over 10B CPUs
were produced, up
from 1B in 2000. The
average car has over 50
processors and the 5B
mobile phones in use
have at least 1


An estimated 2
billion people will be
on the Web by 2011
... and a trillion
connected objects


cars, appliances,
cameras, roadways,
pipelines

3

© 2010 IBM Corporation

Business Analytics software

IBM has been involved
with Business Analytics
for a long time…..

Electrical Tabulating and Accounting Machines analyze the facts of a business.
They supply executives with details of sales, costs and operating data,
permitting the formulation of policies and assisting in the proper control of
business.

These machines compile data quickly and with a great saving in clerical
expense, furnishing reports which it would be impracticable to obtain by
manual methods.

© 2010 IBM Corporation

Business Analytics software

The past, present and future of Business Analytics

What is
Business
Analytics?

Who uses
Analytics
software?

What are the
benefits?

What are the
big trends in
Analytics?

© 2010 IBM Corporation

Business Analytics software

What is
Business
Analytics?

© 2010 IBM Corporation

Business Analytics software

Watch
-

http://www.youtube.com/watch?v=RapyMc
-
sQVQ

© 2010 IBM Corporation

Business Analytics software

Buzzwords from the video

Predict those
customers
with most
value

Use data in a
meaningful way

Greater
insights

Fine
-
tune
inventory

Pervasive
across the
organisation

What’s the
optimal price

Barriers to
analytics are
reduced

Drive
business
decisions

Run more
efficiently

© 2010 IBM Corporation

Business Analytics software

Relevant

Information

Actionable
Insights

Smarter

Decisions

Better

Outcomes

© 2010 IBM Corporation

Business Analytics software

The past, present and future of Business Analytics

Who uses
Analytics
software?

© 2010 IBM Corporation

Business Analytics software

11

How are we doing?

IT

SALES

MARKETING

CUSTOMER

SERVICE

HR

OPERATIONS

PRODUCT

DEVELOPMENT

FINANCE

How are we doing?

Why?

What should we be doing?

Actionable Insights to Answer Key Questions

© 2010 IBM Corporation

Business Analytics software


Improve competitive
positioning


Prioritize profitable
product delivery


Drive greater demand


Maximizing pipeline
effectiveness and customer
profitability


Reduce customer churn


Increase satisfaction
and loyalty


Improve production
capacity


Reduce buffer inventory


Reduce portfolio gaps


Reduce development
risk



Optmize staffing mix



Benchmark benefits


Align resource plans for
intelligent growth and profit


Comply with confidence

Business

Analytics

Across the Enterprise

IBM Business Analytics

© 2010 IBM Corporation

Business Analytics software

A leading user of IBM Business Analytics

© 2010 IBM Corporation

Business Analytics software

The past, present and future of Business Analytics

What are the
benefits?

© 2010 IBM Corporation

Business Analytics software

The more you infuse analytics into your business, the higher
your AQ and the better you and your business will perform



= Analytics Quotient


Realized


Potential

=

© 2010 IBM Corporation

Business Analytics software

16

Manual, slow, error prone, cumbersome, fragmented

Data quality concerns

Automated, instant, accurate, seamless, converged

Data governance is in place


AQ maturity determined by:


Decision
-
making savvy


Readiness and capacity to leverage
analytics across critical roles and processes


Mastery of information



The AQ Journey

© 2010 IBM Corporation

Business Analytics software

Demonstration


Planning, Analysing and Forecasting with IBM Cognos software

© 2010 IBM Corporation

Business Analytics software

18


You rely on
spreadsheets
with information
gaps


The rear view is
your only view



STEP 1:

Novice

Manual, slow, error prone, cumbersome, fragmented

Data quality concerns

Automated, instant, accurate, seamless, converged

Data governance is in place

The AQ Journey

© 2010 IBM Corporation

Business Analytics software

19


You rely on
spreadsheets
with information
gaps


The rear view is
your only view



STEP 1:

Novice


You have a view into
current results and a
little of what

s
driving them


Results are shared
with other teams
within your
department

STEP 2:

Builder

Manual, slow, error prone, cumbersome, fragmented

Data quality concerns

Automated, instant, accurate, seamless, converged

Data governance is in place

The AQ Journey

© 2010 IBM Corporation

Business Analytics software

20


You rely on
spreadsheets
with information
gaps


The rear view is
your only view



STEP 1:

Novice


You have a view into
current results and a
little of what

s
driving them


Results are shared
with other teams
within your
department

STEP 2:

Builder


Your VP sets the strategy


Your department

s
metrics map to other
departments metrics


You look forward as much
as you review the past




STEP 3:

Leader

Manual, slow, error prone, cumbersome, fragmented

Data quality concerns

Automated, instant, accurate, seamless, converged

Data governance is in place

The AQ Journey

© 2010 IBM Corporation

Business Analytics software

21


You rely on
spreadsheets
with information
gaps


The rear view is
your only view



STEP 1:

Novice


You have a view into
current results and a
little of what

s
driving them


Results are shared
with other teams
within your
department

STEP 2:

Builder

STEP 4:

Master


Your VP sets the strategy


Your department

s
metrics map to other
departments metrics


You look forward as much
as you review the past




STEP 3:

Leader


Top
-
down goal setting


Insights flow freely across
divisions and departments.


You allocate resources,
minimize risk and maximize
outcomes with equal ease and
speed

Manual, slow, error prone, cumbersome, fragmented

Data quality concerns

Automated, instant, accurate, seamless, converged

Data governance is in place

The AQ Journey

© 2010 IBM Corporation

Business Analytics software

The past, present and future of Business Analytics

What are the
big trends in
Analytics?

24

25

Watch the first few mins of
-

http://www.youtube.com/watch?v=k9plApugrvU

Businesses on a Smarter Planet are

dying
of thirst in an ocean of data


1 in 2

business leaders
don’
t have access to
data they need

83%

of CIO
s cited BI and
analytics as part of their
visionary plan

5.4X

more likely that top
performers
use
business analytics

80%


of the world’
s
data today is
unstructured

90%


of the world’
s data
was created in the
last two years

20%

is the amount
of
available data
traditional
systems
leverages

Source: GigaOM, Software Group, IBM Institute for Business Value"

26

27

Business Analytics can be applied to all big data problems


Integrated


Enterprise
-
ready


Open Source Based


Real
-
time Scoring


Predictive Analytics


Sentiment Analysis


Real
-
time Monitoring


Business Analytics

28


Big Data Platform

29

30

Cloud


“Analytics as a Service”


Cloud deployment increasingly relevant


Cloud
-
optimized: multi
-
tenancy, resource
sharing, scaling in/out and up/down, workload
optimization, license/cost optimization,
business and regulatory constraints


Public data streams more accessible


exchange rates, crime rates, economic statistics


New data/access models


Hadoop


Columnar


Many clients


computers, mobiles, tablets

31

32

Mobile Analytics


Author centrally


Secure, broad access to analytic
content


Simplified user experience across
devices


Schedule reports for immediate
access


Wide device support (iPad, iPhone,
BlackBerry, PlayBook, Android etc.)


Sensor Based Query (Location
Aware, accelerometer etc)


Analytics is about information for
better decisions



Mobility is about access to information
‘anywhere’

33

©

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34

©

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Development

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L
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Me
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w
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.

1
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vs.

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).

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Languages


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b
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ve

C
,

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va
,

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/
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++,

e
t
c.

Pl
a
tfo
r
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s



i
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d
ro
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,

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a
ckBe
rry
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a
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k
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P7
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va

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G
o
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d
a
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,

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,

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t
c.

App Deployment



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d
.

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d
e
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n
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St
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n
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b
o
xe
d
.

N
o

sh
a
re
d

f
i
l
e
syst
e
m
.

Mo
d
e
l
s
va
ry:

i
n
t
e
n
t
s/
a
ct
i
vi
t
i
e
s
o
n

An
d
ro
i
d
;

U
R
L

sch
e
me
s
(i
O
S);

e
t
c.

4
IBM Evolving the Analytics
Experience

Personal
Analytics

Enterprise
Analytics

Next Generation Analytics:
Reasoning & Learning

36

36

Today

Future

A new class of systems that will be transformative to the enterprise


Programming and Data

transform to
Learning and Intelligence

2 Competitors

General Purpose

System A

Software with

Function C

General Purpose

System B

Software with

Function C

+

+

Same

Output

2 Competitors

Learning

System A

Experiences from

Company 2

Learning

System B

Experiences from

Company 1

+

Different

Output;

Differentiation

Learning Systems



Attributes

The Learning

Paradigm

The Calculating

Paradigm

+



Learn & Self
-
train
(e.g. beyond programming)



Interface Naturally & Accessibly with Humans and the World


(including multi
-
modal real time sensory input
and

output)



Provide Insights, Create and Test Hypothesis



Enable Better Outcomes

37

39

40

41

42

43

Watch
-

http://www.youtube.com/watch?v=
95
eF
4
Dn
3
CL
0

44

THE END