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8/9/2019 ABIBA Analytics
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Abiba Systems | www.abibasystems.com
The Key To Drive Business Performance
8/9/2019 ABIBA Analytics
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Abiba Systems | www.abibasystems.com
Analytics Solutions Overview
Churn Analytics Solution
Product & Technical Architecture
Deployment Model
Business Benefits
Roadmap
Pilot Project Status
Other Analytics Solutions
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Abiba Systems | www.abibasystems.com
Churn Prediction Predict the potential churn
individual subscriber and segment
level.
Perform survival analysis for existing
customers
Risk models
Identify the most risky customer
segments and list at-risk customers
Identify the customers who are
going to default or delay the payment
Response models
Identify the most sensitive customers
for cross selling/up selling
Identify customers likely to respond
to promotional offers
Segmentation and profilingIdentify your profitable segments and
their behavior
Estimate the life time value of your
customer segments for better
marketing
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Abiba Systems | www.abibasystems.com
ABIBA chartered a product based approach towards analytics due to followed benefits thataccrue to the customer
Low Total Cost of Ownership
Low Learning curve
Single vendor concept
Easy deployment
Embedded Best Practices
ABIBAs Analytics Suite comes as an integrated analytics product since it consists of the
following modules
Data Capture
Captures data from the various data repositories Data Integration - The data is integrated and converted to the required format.
Data Modeling Modeling is carried out and stored
Reporting & Analysis Module Reports are generated based on the models built.
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Common solution approach for different models.
Customise based on business requirements and data handled
Based on open architecture and component model.
Extracts required data from customer sources, transform and loadinto data marts.
Build models using historic data
Score the live customers for various predictions
Presentation tool for reporting and analysis
Analytics Solution Overview
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An effective churn solution should help operators do the following
1. Predict existing customer likely to churn
stop recharging
2. Predict suspended customers who are likely to recharge and come back
3. Predict the estimate future life of existing customers
Churn in scope
Postpaid and prepaid
Retail and Enterprise customers
Different products and services;
Regions and modes of Sales Channel
Churn prediction is done at
Segment level Churn prediction Customer level Churn prediction
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Solution should predict churn and satisfy the following major customer objectives
1. Accuracy
Accuracy of prediction of churn when compared with actual churns of
previous time period
Prediction Accuracy of 60% or above
2. Transparency Solution to identify the major drivers for churn
Identify the key drivers for the different customer segments covered in the
project
Present these drivers in a business user friendly interface
3. Configurability Configurability of solution parameters and objectives by the user team
To support the changing marketing requirements in achieving the retention
objectives of the operators
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Solution Highlights
UI driven Modeling
Enhanced VisualizationScalable
Modeling Methodology
Proven modeling technique
Modeling Expertise of
ABIBA
Transparent modeling
methodology
Segment level modeling
using micro-models
Configurability
Business user driven
Modeling Build, Edit,
Maintain by Business Users
Managing Models - Project
and models
Reporting & Analysis
Deployment Mode
Quick Deployment
Consulting driven solution
End to End Solutions from
data processing modeling
deployment - support
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Product Architecture
Customer
Segmentation
module
Response
modeling
module
Analytics Suite
Churn
Analytics
module
Data audit
& Analysis
Data Pre
processing
Modeling
& Scoring BI
Customer Intelligence Framework
Insights redefining objective and data
Data Sources
External files
Transaction
system
Business
Objective
Actionable Insights
Promotion
Retention
campaign
Product and
Pricing
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Production Environment
Function Hardware
ETL Server 4* Quad Core processor
32 GB RAM, 500 GB Storage
Analysis(DB)
server4* Quad Core processor
32 GB RAM, 1 TB StorageApplication
server1* Quad Core processor
8 GB RAM, 500 GB Storage
Modeling
server4* Quad Core processor
32 GB RAM, 500 GB Storage
Development Environment
Function Hardware
ETL Server 4* Quad Core processor &
32 GB RAM, 500 GB Storage
Analysis(D
B) server4* Quad Core processor &
32 GB RAM, 1 TB StorageApplicatio
n server1* Quad Core processor &
8 GB RAM, 500 GB Storage
Modeling
server4* Quad Core processor &
32 GB RAM, 500 GB Storage
Specifications for a subscriber base of 3 million
For deployment of upto 8 models
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Production Environment
Function Software
ETL Server OS: Red Hat Enterprise Linux 5
Tools: Data Integration tool, Java
1.6
Analysis(DB)
server
OS: Red Hat Enterprise Linux 5
Tools: PostgreSQL 8.2,Champion
Application
server
OS: Red Hat Enterprise Linux 5
Tools: Tomcat 6.x,Apache
2.2,Champion
Modelingserver
OS: Red Hat Enterprise Linux 5
Tools:Modeler,Java 1.6
Development Environment
Function Software
ETL Server OS: Red Hat Enterprise Linux 5
Tools: Data Integration tool, Java
1.6
Analysis(DB)
server
OS: Red Hat Enterprise Linux 5
Tools: PostgreSQL 8.2,Champion
Application
server
OS: Red Hat Enterprise Linux 5
Tools: Tomcat 6.x,Apache
2.2,Champion
Modelingserver
OS: Red Hat Enterprise Linux 5
Tools:Modeler,Java 1.6
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Analytical Dashboard
Multi-dimensional Analytics
Trending Solution
Early Warning Solution
Key Business benefits
Our Analytics solutions help to
To identify postpaid customers most likely to churn
To identify prepaid customers who are likely to stop recharging
To identify suspended customers who are likely to recharge
To identify most Valuable Customers
To identify the likely response of customers to new marketing offers
To identify opportunities for up selling and cross selling of services
To identify postpaid customers more likely to default
The above predictions and analysis can be done at different segment levels
Product, region, Age on network, ARPU category etc..
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Single Vendor One Stop shop No need for a 3rd party analytics tools and a
separate implementation partner.
Business user driven implementation No dependency on analysts, a scarce
resource in many markets
Embedded Best practices Technology and telecom domain
Ease of use Customisable GUI, workflow guiding model building
Integrated with other ABIBA solutions solutions like loyalty management,
convergent rating
Pre-built Telecom models reduced time to deploy
High level of configurability and customisation suits rapidly changingmarket dynamics
Off-shore driven deployment With data provided offshore
Lower overall TCO
Value Proposition
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Churn Analytics Roadmap
March 2010
Column store database
Churn segment level profiling
User defined reports
GIS based Adhoc reports
Now
Churn Modeling
Integrated with database, ETL and
datamart
Integrated with BI solution
ETLDashboard
Canned analytics
Dashboards and
Reports
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September 2010
Campaign management interface
Survival analytics
Recommendation engine
Rule based analytics
March 2011
ENTERPRISE INTELLIGENCE AND
DECISION MANAGEMENT
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