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© Abiba Systems | www.abibasystems.com
• About ABIBA
• Analytics
• Technology
• Case study
• Lessons learned
• Open house
© Abiba Systems | www.abibasystems.com
A year spent in artificial intelligence is enough to make one believe in God
Alan J. Perlis
Epigrams in programming
http://www.cs.yale.edu/quotes.html
Most of the managers today are trying to do things right. But the question is are they finding right thing to do?
Stephen Covey
Noted Management Guru
© Abiba Systems | www.abibasystems.com
• Technology firm focused on being a Business Intelligence & Analytics partner of choice for Telecom Operators Globally
• We develop advanced analytics tools customized to meet industry specific requirements.
Our solution highlights
• Advanced B.I and Analytics solution
• 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 in Telecom Companies globally .
• Highly Qualified Management Team with extensive domain knowledge and
technological know how.
© Abiba Systems | www.abibasystems.com
Section Business Intelligence Business Analysis
Data• Relational• Large N
• Flat• Large C
Users• All• High
• Mostly tactical• Few
Complexity• Large data• multiple source
• Large no of variable• correlation
Utility Decision support• Decision support• decision management
Mode Process driven• Objective• Model driven
© Abiba Systems | www.abibasystems.com
Analytics is the science of examining business data to identify historic trends and patterns, predict potential trends and to analyze the effects of certain decisions or events.
The goal of analytics is to improve the quality of decision making in business by gaining in-depth knowledge of past, current and future performance.
Type of Analytics :
Descriptive Analytics: Descriptive Analytics provides the insights into the distribution of the data
Predictive Analytics: Predictive Analytics tries to predict the value of one or more responses in a data set
Prescriptive Analytics: Prescriptive Analytics tries to optimize the process outcome
© Abiba Systems | www.abibasystems.com
Optimization
Predictive Modeling
Segmentation
Reporting and Analysis
© Abiba Systems | www.abibasystems.com
BI and
Segmentation
CLV Survival
analysis
Churn
prediction
Profiler
Recommendation
Response
model
© Abiba Systems | www.abibasystems.com
StatisticsOp. Research
Decision treesNeural
networksCubes
Optimization
ForecastingClassification/
Response modelingSegmentation
Visualization What-if Slice/dice/drill/Roll
Business
Technology
© Abiba Systems | www.abibasystems.com
Analytics disciplines
Database
Artificial intelligence
Business modeling
Statistics
Psychology PerformanceVisual
Hypothesis verification
Inference
Multi variant testing
?
A | BCD
OLAP IN-MemoryETL
Rule based
Decision tree
Fuzzy logic
Neural network
If - then
© Abiba Systems | www.abibasystems.com
Function Data Reference Module
Analysis• Column store
• In memoryOLAP
Modelling• In database
• In - memoryNeural networks
Optimization• In memory
• Disk basedLinear programming
Storage• Relational
• Big table
© Abiba Systems | www.abibasystems.com
Analytics
Cubes
Customer data mart
Data Integration
DashboardsAnalysisReports
Analysis
Churn Modeler
Data sources
Segmentation & Profiling
Customer LTV
Cross Sell
Up Sell
© Abiba Systems | www.abibasystems.com
Target Definition
•Define/Select Campaign targets.
•Target based sampling list
•Analyze success of Campaign
Campaign Definition
Campaign Execution
Campaign Analysis
•Objective•Validity•Media•Message
•Send Messages•Default Assign
Campaign Management System
© Abiba Systems | www.abibasystems.com
Customer Lifetime Value
Churn
Profiler
Target Modeler
Dat
a re
po
sito
ry
Security
Dat
a In
terc
han
ge
pro
toco
lD
ata
Inte
rch
ange
p
roto
col
EDW Reports
Dashboards
Analysis
Alarms
Historical
data
Historical
data
Predictive
data
Security
Analysis
cubes
Ap
plic
atio
n s
erv
ice
s
CMS data mart
© Abiba Systems | www.abibasystems.com
Define targets
Sample targets
Run sample campaigns
Analyze the effectiveness
Select the best campaign for the whole set
Campaign Analytics
EDW
© Abiba Systems | www.abibasystems.com
New Somewhat recent
1000
500
499
0
D(Profitability)
LongVery long
C1
Commit
Customer
C2
Improve
Loyalty
C3
Augment
Turnover
C4
Don’t
Invest
Recent customers
Old customers
high
low
© Abiba Systems | www.abibasystems.com
New Somewhat recent
1000
500
499
0
D(Profitability)
LongVery long
Recent customers
Old customers
high
low
© Abiba Systems | www.abibasystems.com
• Team competence
• Crossing the chasm
• Business User involvement
• Need to show ROI
• Scientific frameworks for business function
• Data, data, data
• Statistics helps
• Analytics is effective
• Data Integration is essential
Business
Technical