Advanced Analytics & Cloud Computing

ABIBA Systems


• 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
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


• 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
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 ?


• 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 ?
• 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 ?


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


$
in
mn

150

120

90

60

30

0 20 40 60 80 100 $ in mn

Y = ax1+bx2+cx3+dx4……


Hardware
Intensive

Data Hardware Hardware
Integration
Intensive Intensive

Data Data Data
Validation Scoring
understanding Preprocessing Modeling

Needs specialized
software


Analytics as a Service
Analytics
‘Birst’

Software Software as a Service
‘GoogleAPPS’
Platform as a Service
Platform
‘DW as a Service’
Infra. as a Service
Infrastructure ‘Amazon EC2’


Cloud Offerings IT Admin Developers Business Users Business
Analysts

AaaS
SaaS
PaaS
IaaS

Light usage Heavy usage


IaaS

Data
Integration IaaS
IaaS

Data Data Data
Validation Scoring
understanding Preprocessing Modeling

Can subscribe for
• BI/Analytics Applications – TIBCO Spotfire modeling software
and scoring
• High Processing Speed - Amazon EC2
engines (SaaS/
• Huge data storage – Amazon EC2 PaaS)
• Analytics platform – Adapa

Scalability with on-demand, ready-to-use
platforms that adapt readily to growth.

Faster time-to-payback Elasticity with platforms that
for analytic applications expand and contract when
needed

Agility of technical
infrastructure & Projects
Productivity gains
As time &resources
Is focused on business
results instead of
infras. mgmt.

Infrastructure cost
Operational cost reduction reduction
especially for heavy-lifting
applications such as very large
data warehouses.
Reliability through Device and location independence
multiplicity, redundancy making applications web accessible
thereby reducing data disasters

• Are my business activities and metrics exposed on the
Security Internet?
• Are they intrusion-proof and hacker-proof?

• Is proprietary data at risk of becoming publicly exposed
Privacy information?
• What about anonymity of my customers, business partners?

• Does it meet the regularity constraints ?
Compliance • What should be done to meet the constraints

• Is control diminished with cloud computing?
Infra. Control • Can the responsibility be fulfilled if the infrastructure is remote
and virtual?

• Can the IT infrastructure be bypassed?
Governance • Will business units deploy their own applications in the cloud
without enterprise-level integration?


• 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
• Domain Knowledge – Domain specific BI & Analytics Software companies
have an advantage over generic players
• Big = Small - Size advantage will diminish if not removed


Higher Gain
from cloud
delivery Collaboration
SME ERP/ Numerical
SCM/CRM Compute
Web Serving
DWH
Analytics &
Datamining
Application Dev’t
& Testing

Higher pain to Lower pain to
Large Enterprise
cloud delivery cloud delivery
SME ERP/
SCM/CRM

Lower Gain from
cloud delivery


Data Pre- Model
Data processing Producer
features

PMML
• The Predictive Model Markup Language (PMML) Model
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


Modeling Environment

Data Pre- Model PMML
Data processing Producer Model

Deployment Environment

Data Data
PMML Model Model
Post Processing
Consumer


Step 1: Enter credentials
Step 2 : View the
management console
Step 3 : Choose the model
for scoring
Step 4 : Evaluate the
model


Scored Models

Less than a dollar/ hr one can
score 300 million records in 22
min .


• 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
– 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

• 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.
– 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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