Advanced Analytics & Cloud Computing

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Transcript of Advanced Analytics & Cloud Computing

Page 1: Advanced Analytics & Cloud Computing

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Page 2: Advanced Analytics & Cloud Computing

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ABIBA Systems

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• Technology firm focused on being a Business Intelligence partner of choice for

Telecom operators

• We have a suite of advanced BI and analytics tools for telcos.

Our solution approach

• Domain specific pre-built solutions

• Rapid deployment for quick wins

• User friendly solutions to improve end user product utilization

• Lower TCO to ensure higher ROI

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• Lower TCO to ensure higher ROI

ABIBA Management

• Promoter team have several decades of experience globally in companies in

Europe, North America, Asia and Africa

• Senior management team is highly qualified with experience in management and

technology

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• Analytics is the science of examining raw data with the purpose of

drawing conclusions about that information. Analytics is used in many

industries to allow companies and organization to make better business

decisions and in the sciences to verify or disprove existing models or

theories. – Techtarget.com

Classification of Analytics

• Descriptive - Descriptive analytics extracting information from the data

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• Descriptive - Descriptive analytics extracting information from the data

for making decisions and inferences.

E.g. Which store is the most profitable one ?

• Predictive - Predictive analytics is an area of statistical analysis that deals

with extracting information from data and using it to predict future trends

and behavior patterns.

E.g. How many customers will leave my network in the next 3 months ?

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• Risk Analytics – Which customer is going to default ?

• Marketing Analytics – Which customer will buy my new

product ?

• Collection Analytics – What should I do to get my customer

pay back the loan ?

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pay back the loan ?

• Web Analytics – How many hits do I get ? Who visits my

website ? Which content is boring ?

• Supply Chain Analytics – What is the most ideal location for

choosing a hub so that I gain max profit ?

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There are basically 2 approaches to analytics

• Product Approach – Buy an analytics tool and execute projects in house

• Service Approach – Source the projects to analytics companies who

execute them using analytics tools

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150

120

90

60

$in mn

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Y = ax1+bx2+cx3+dx4……

0 20 40 60 80 100

60

30

$ in mn

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Data

Integration

Hardware

Intensive

Hardware

Intensive

Hardware

Intensive

Hardware

Intensive

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Data

understanding

Data

Preprocessing

Data

ModelingValidation Scoring

Needs specialized

software

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Analytics

SoftwareSoftware as a Service

‘GoogleAPPS’

Analytics as a Service‘Birst’

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Platform

InfrastructureInfra. as a Service‘Amazon EC2’

Platform as a Service‘DW as a Service’

‘GoogleAPPS’

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Cloud Offerings IT Admin Developers Business Users Business

Analysts

AaaS

SaaS

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PaaS

IaaS

Heavy usageLight usage

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Data

Integration

IaaS

IaaS

IaaS

IaaS

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Data

understanding

Data

Preprocessing

Data

ModelingValidation Scoring

Can subscribe for

modeling software

and scoring

engines (SaaS/

PaaS)

• BI/Analytics Applications – TIBCO Spotfire

• High Processing Speed - Amazon EC2

• Huge data storage – Amazon EC2

• Analytics platform – Adapa

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Scalability with on-demand, ready-to-use

platforms that adapt readily to growth.

Elasticity with platforms that

expand and contract when needed

Agility of technical

infrastructure & ProjectsProductivity gains

Faster time-to-paybackfor analytic applications

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Infrastructure cost

reduction

Device and location independencemaking applications web accessible

Reliability through

multiplicity, redundancy thereby reducing data disasters

Operational cost reductionespecially for heavy-lifting applications such as very large data warehouses.

Productivity gainsAs time &resources Is focused on business results instead of infras. mgmt.

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• Are my business activities and metrics exposed on the Internet?

• Are they intrusion-proof and hacker-proof?SecuritySecurity

• Is proprietary data at risk of becoming publicly exposed information?

• What about anonymity of my customers, business partners?PrivacyPrivacy

• Does it meet the regularity constraints ?ComplianceCompliance

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• Does it meet the regularity constraints ?

• What should be done to meet the constraintsComplianceCompliance

• Is control diminished with cloud computing?

• Can the responsibility be fulfilled if the infrastructure is remote and virtual?

Infra. ControlInfra. Control

• Can the IT infrastructure be bypassed?

• Will business units deploy their own applications in the cloud without enterprise-level integration?

GovernanceGovernance

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• More Analytics Users - Many companies might shift to BI & Analytics

because of the subscriber based SW and HW

• Paradigm shift -Might bring a change in the analytics methodology.

• Reduced Project Timelines -Project Duration might come down drastically

• More to gain - Overall ROI on Analytics will increase

• Product Vs Service - Product based Analytics companies have an

advantage over service based companies

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advantage over service based companies

• Domain Knowledge – Domain specific BI & Analytics Software companies

have an advantage over generic players

• Big = Small - Size advantage will diminish if not removed

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Higher Gain

from cloud

delivery

Web Serving

CollaborationNumerical

ComputeSME ERP/

SCM/CRM

DWH

Analytics &

DataminingApplication Dev’t

& Testing

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Lower pain to

cloud deliveryHigher pain to

cloud delivery

Lower Gain from

cloud delivery

Large Enterprise

SME ERP/

SCM/CRM

& Testing

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Model

Producer

PMML

DataData Pre-

processingfeatures

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Model• The Predictive Model Markup Language (PMML)

is an XML language for statistical and data mining

models (www.dmg.org).

• With PMML, it is easy to move models between

applications and platforms.

• PMML also supports XML elements to describe

data preprocessing

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Model

ProducerData

Data Pre-

processingPMML

Model

Modeling Environment

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Model

ConsumerPMML Model Post Processing

Data Data

Deployment Environment

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Step 1: Enter credentialsStep 2 : View the management consoleStep 3 : Choose the model for scoringStep 4 : Evaluate the model

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Scored Models

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Less than a dollar/ hr one can

score 300 million records in 22

min .

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• Client – A North American Financial institution providing loans to SME’s

• Business Issues –

– Increased defaulters during the economic crises of 2008.

– increased demand and higher risk made it increasingly difficult to

accurately assess credit worthiness.

– threat to its profitability and its plans to launch new distribution

channels

• Technical Issues

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• Technical Issues

– Cost of analytics packages for building risk models were costly

– Most of the package were generic and time consuming

• Solution – Went for SaaS Model

• Result

– Project was completed in 6 weeks

– 14% increase in productivity

– 900% was ROI in the 1st year

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• Client – European Space Agency

• Business Issues –

– To make the largest and the most precise 3 dimensional map for the

entire galaxy

• Technical Issues

– 42 GB of data was transferred everyday. Processing one pic/milli sec

will take 30 yrs.

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– Data load came in spikes

• Solution – Amazon IaaS /PaaS

• Result

– 100 mn stars X 6 yrs data X 16,200 hrs X 344,000 Euros

– Saved more than 400,000 Euros

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