© 2010 IBM Corporation Business Analytics software Business Analytics: Big challenges and solutions...

© 2010 IBM Corporation

Business Analytics software

Business Analytics:Big challenges and solutions

CS321 – Current Uses of Computers in Business and Industry



+ +

The world is getting smarter

IntelligentInstrumentedInterconnected

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



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.



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?



What is Business Analytics?



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



Buzzwords from the video

Predict those customers with most value

Predict those customers with most value

Use data in a meaningful wayUse data in a meaningful way

Greater insightsGreater insights

Fine-tune inventoryFine-tune inventory

Pervasive across the organisation

Pervasive across the organisationWhat’s the

optimal priceWhat’s the optimal price

Barriers to analytics are reduced

Barriers to analytics are reduced

Drive business decisions

Drive business decisions

Run more efficientlyRun more efficiently



Relevant Information

Actionable Insights

SmarterDecisions

BetterOutcomes




Who uses Analytics software?



11

How are we doing?

IT

SALES

MARKETING

CUSTOMERSERVICE

HR

OPERATIONS

PRODUCTDEVELOPMENT

FINANCE

How are we doing?

Why?

What should we be doing?

Actionable Insights to Answer Key Questions



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

BusinessAnalytics

Across the Enterprise

IBM Business Analytics



A leading user of IBM Business Analytics




What are the benefits?



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

=



16

Manual, slow, error prone, cumbersome, fragmentedData quality concerns

Automated, instant, accurate, seamless, convergedData 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



Demonstration

Planning, Analysing and Forecasting with IBM Cognos software



18

• You rely on spreadsheets with information gaps

• The rear view is your only view

STEP 1:Novice



The AQ Journey



19



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



The AQ Journey



20



STEP 1:Novice



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



The AQ Journey



21



STEP 1:Novice



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



The AQ Journey




What are the big trends in Analytics?

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 2business leaders

don’t have access to data they need

83%of CIOs cited BI and

analytics as part of their visionary plan

5.4Xmore 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

Business Analytics can be applied to all big data problems

Integrated Enterprise-readyOpen Source Based

Real-time ScoringPredictive Analytics Sentiment Analysis Real-time Monitoring

Business Analytics

28

Big Data Platform

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 modelsHadoopColumnar

Many clients – computers, mobiles, tablets31

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 decisionsbetter decisions

Mobility is about access to information ‘anywhere’‘anywhere’

IBM Evolving the Analytics Experience

Personal AnalyticsPersonal Analytics

Enterprise Analytics

Enterprise Analytics

Next Generation Analytics: Reasoning & Learning

Next Generation Analytics: Reasoning & Learning

3636

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 PurposeSystem A

Software withFunction C

General PurposeSystem B

Software withFunction C

+ +

Same Output

2 Competitors

LearningSystem A

Experiences from Company 2

LearningSystem B

Experiences from Company 1

+

Different Output; Differentiation

Learning SystemsAttributes

The LearningParadigm

The CalculatingParadigm

+

• 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

43

Watch - http://www.youtube.com/watch?v=95eF4Dn3CL0

44

THE END

© 2010 IBM Corporation Business Analytics software Business Analytics: Big challenges and solutions...

Documents

Transcript of © 2010 IBM Corporation Business Analytics software Business Analytics: Big challenges and solutions...