bachallenges warwick - final

8/14/2019 Bachallenges Warwick - Final

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2010 IBM CorporationBusiness Analytics software

Business Analytics:

Big challenges and solutions

CS321 Current Uses of Computers in Business and Industry


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2010 IBM Corporation

Business Analytics software

+ +

The world is getting smarter

IntelligentInstrumentedInterconnected

220 Billion pieces ofuser generated

content exists onthe web today and200M tweets are

sent daily

In 2008 over 10B CPUswere produced, up

from 1B in 2000. Theaverage car has over 50processors and the 5Bmobile phones in use

have at least 1

An estimated 2billion people will beon the Web by 2011

... and a trillion

connected objects cars, appliances,

cameras, roadways,pipelines

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IBM has been involvedwith Business Analyticsfor 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 clericalexpense, furnishing reports which it would be impracticable to obtain bymanual methods.


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The past, present and future of Business Analytics

What isBusiness

Analytics?

Who uses Analytics

software?

What are thebenefits?

What are thebig trends in Analytics?


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What isBusiness

Analytics?


7/44 2010 IBM Corporation


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




Buzzwords from the video

Predict thosecustomerswith most

value

Use data in ameaningful way

Greaterinsights

Fine-tuneinventory

Pervasiveacross theorganisationWhats theoptimal price

Barriers toanalytics arereduced

Drivebusinessdecisions

Run moreefficiently




RelevantInformation

ActionableInsights

SmarterDecisions

Better

Outcomes





Who uses Analytics

software?




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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


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Improve competitivepositioningPrioritize profitableproduct deliveryDrive greater demand

Maximizing pipelineeffectiveness and customerprofitability

Reduce customer churnIncrease satisfactionand loyalty

Improve productioncapacityReduce buffer inventory

Reduce portfolio gapsReduce developmentrisk

Optmize staffing mix Benchmark benefits

Align resource plans forintelligent growth and profitComply with confidence

BusinessAnalytics

Across the Enterprise

IBM Business Analytics


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A leading user of IBM Business Analytics


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What are thebenefits?


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

= Analytics Quotient

RealizedPotential

=


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

Automated, instant, accurate, seamless, convergedData governance is in place

AQ maturity determined by:Decision-making savvyReadiness and capacity to leverageanalytics across critical roles and processesMastery of information

The AQ Journey


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Demonstration

Planning, Analysing and Forecasting with IBM Cognos software


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You rely onspreadsheetswith informationgaps

The rear view isyour only view

STEP 1:Novice



The AQ Journey


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STEP 1:Novice

You have a view intocurrent results and alittle of what

sdriving them

Results are shared

with other teamswithin yourdepartment

STEP 2:Builder



The AQ Journey


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STEP 1:Novice


sdriving them

Results are shared


STEP 2:Builder

Your VP sets the strategy Your department

smetrics map to otherdepartments metrics

You look forward as muchas you review the past

STEP 3:Leader



The AQ Journey


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You rely on

spreadsheetswith informationgaps


STEP 1:Novice


sdriving them

Results are shared


STEP 2:Builder

STEP 4:Master

Your VP sets the strategy Your department

smetrics map to otherdepartments metrics

You look forward as muchas you review the past

STEP 3:Leader

Top-down goal setting Insights flow freely across

divisions and departments. You allocate resources,

minimize risk and maximizeoutcomes with equal ease andspeed



The AQ Journey


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What are thebig trends in Analytics?


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Watch the first few mins of -http://www.youtube.com/watch?v=k9plApugrvU


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Businesses on a Smarter Planet are dyingof thirst in an ocean of data

1 in 2business leaders

don t have access todata they need

83%of CIOs cited BI and

analytics as part of theirvisionary plan

5.4Xmore likely that top

performers usebusiness analytics

80%of the world sdata today isunstructured

90%of the world s datawas created in the

last two years

20%is the amount of

available datatraditional systems

leverages

Source: GigaOM, Software Group, IBM Institute for Business Value" 26


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Business Analytics can be applied to all big data problems

Integrated

Enterprise-readyOpen Source Based

Real-time ScoringPredictive AnalyticsSentiment AnalysisReal-time Monitoring

Business Analytics

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Big Data Platform


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Cloud

Analytics as a Service Cloud deployment increasingly relevantCloud-optimized: multi-tenancy, resourcesharing, scaling in/out and up/down, workloadoptimization, license/cost optimization,business and regulatory constraintsPublic data streams more accessible exchange rates, crime rates, economic statistics

New data/access modelsHadoopColumnar

Many clients computers, mobiles, tablets

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Mobile Analytics

Author centrally

Secure, broad access to analyticcontent

Simplified user experience acrossdevices

Schedule reports for immediateaccessWide 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


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Why is mobile different?

Mobile users require efficient and timely accessto information.

Interactions are short and focused , interruptions are common.

Devices are often exclusively touch-based .

User interfaces must be easy and obvious .

Screen real-estate is precious.

Typing should be minimized.

Users expect device integration: location ,camera , accelerometer . as well as contacts ,email , etc.

Mobile users today expect high-fidelity access to the same information they have on thedesktop, presented in an easy-to-learn , mobile-friendly (often touch-friendly ) format.

The UI bar is higher . Aesthetics of a mobile interface areafforded higher importance by users.

Applications must still be usable when out of wirelesscoverage .

Timeliness of data must be communicated.

Security is critical.

Often used for monitoring as opposed to activeconsumption.

Social interactions are important.

Mobile hardware and user interfaces evolve much

faster than the typical enterprise software cycle.


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Why is Mobile Development Different?

Limited Memory, Processor iOS devices are uniformly high-spe c d but Android (and BB) devices cover the entirespectrum. Use as little memory as possible or risk getting killed by the OS. Be ready to free memory on demand. Offloadintensive processing to the cloud. No virtual memory.

Battery Life Don t hold network connections open. Don t run intensive background processes.

Security Security risks are elevated. Plan for theft/loss of device.

Network Networks can be slow and unreliable. Cache data for offline use. Don t block the UI on network operations. Apps

can be rejected for network overuse.Process Model Background tasks are strictly managed (iOS). Applications can be suspended or killed at any point. Appsmust serialize/deserialize their state.

UI Model Proprietary UI frameworks. Apps run full-screen/modally. No hover gesture. OS will kill apps with unresponsive(e.g. > 5 sec.) UI threads.

Testing Test automation is hard. Simulators don t have perfect fidelity; emulators are slow. On-device testing is often best.Coverage across broad range of devices is hard.

Form Factors Screen sizes vary widely. Tablet vs. phone UIs are very different (e.g. 1-panel vs. 2-panel). Touch targetshave a minimum size. App must handle switch between portrait and landscape. Users expect app to adapt to all situations.

Languages Objective C, Java, C/C++, etc.

Platforms iOS, Android, BlackBerry (+BBX, +Playbook OS), WP7, Java ME, MeeGo, Bada, BREW, WebOS, etc.

App Deployment Apps must be signed. Side-loading not always allowed. App Stores hold only a single version of app.

Inter-app Communication Apps are strictly sandboxed. No shared filesystem. Models vary: intents/activities on Android;URL schemes (iOS); etc.


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IBM Evolving the AnalyticsExperience

Personal

Analytics

EnterpriseAnalytics

Next Generation Analytics:Reasoning & Learning


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Today Future

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

Programm ing and Data transform to Learnin g and Intel l igence

2 CompetitorsGeneral PurposeSystem A

Software withFunction C

General PurposeSystem B

Software withFunction C

+ +

Same Output

2 CompetitorsLearningSystem A

Experiences fromCompany 2

LearningSystem B

Experiences fromCompany 1

+

Different Output; Differentiation

Learning SystemsAttributes

The LearningParadigmThe 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


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


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THE END

bachallenges warwick - final

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