algolytics company overview 2015
TRANSCRIPT
© Algolytics. All rights reserved. 2
WHAT WE DO?
• Analytical software
• Advanced analytical
services
• Bespoke analytical
applications
to address our customers’
needs:
© Algolytics. All rights reserved. 3
COMPANY HISTORY…
Development of Data
Mining software
2001 2005 2011 2014
StatConsulting
established
First scoring engine
implemented
EU grant: development of unstructured
data analysis software
(SNA, TextMining, Data Quality)
Government grant for
Automatic Business Modeler
system
GIZA Polish Venture investment
New brand: ALGOLYTICS
Analytical software, R&D, globalization Consulting Consulting Dedicated analytical applications
First and long-time
customer
© Algolytics. All rights reserved. 5
Since 2002 a permanent recipient of our
analytical services
• for CRM Department
• for Credit Risk and Debt Collection
• for Department for Products and Services Development
• for Technical Departament
Projects - Advanced data analysis and customer
behavior modeling
• Data Processing
• Data Quality Analysis
• Analytical models
CASE STUDY – TELECOMMUNICATIONS
Applications
• Marketing campaign support
• Cross/Up-selling support
• Network Quality Assurance
• Lifetime value estimation
• Customers deactivation (churn) analysis
• Risk of non-fulfilled payment obligations
• Customer segmentation analysis
• Customer purchasing model and association analysis
• Debt Collection
• Forecasting of Radio Network Services Quality
• Data quality
• …
5
• Rating system - implementation of decision engine
for automation of risk assessment process for large
and medium companies
• Integration with workflow system for decision
processes
• Construction of scoring models (PD) for SME
and corporate segment customers
• AdvancedMiner – implementation of analytical
platform for risk analysis, reporting and predictive
analysis
• System for calculating and reporting the exposure
to market risk, including: VAR, scenario analysis,
stress-tests, risk decomposition, backtesting
CASE STUDY – FINANCE
• Scoring system – implementation of
decision engine for automation of credit
granting process
• PD model construction for individual
customers and SME
• AdvancedMiner – implementation of
analytical platform for risk analysis,
reporting and predictive analysis
© Algolytics. All rights reserved. 7
ALGOLYTICS OFFER
Fraud Risk
Modelling and
Analysis
Recommendation
Systems
Loss Forecasting and
Stress Testing
Credit Risk
Modelling and
Analysis
Bespoke Analytical
Applications
Collections Modelling
and Analysis
Analytical CRM
Integrated Analytical
Platform
© Algolytics. All rights reserved. 8
ALGOLINE – INTEGRATED ANALYTICAL PLATFORM
Our solutions support the entire analytical process, are
efficient and cost effective
Support for all types of users
• Fully automated mode - for beginners
• Semi-automated mode - for less advanced users
• Customised scripts - for advanced users
© Algolytics. All rights reserved. 9
We use our own platform for fast development
of client’s specific solution
• Solutions developed much faster than from scratch
• Tested and stable elements
• Ideal for fast prototyping and POC
• Business cases
• Telco – Data Quality Controler, Campaign
planer – Polkomtel
• Finance – Market Risk – BRE (Commerzbank)
• FMCG – Forecasting – Danone
Platform components
Analytical software
Client’s specific solutions
BESPOKE ANALYTICAL APPLICATIONS
© Algolytics. All rights reserved. 10
SOLUTION FOR CUSTOMER LIFE-CYCLE MANAGEMENT
Potential
Customer
Interested
Customer
Acquired customer
Former customer
Registration Activation Maintenance Recovery
Managing
prospective
customer database
Customer acquisition
– credit screen
CRM solutions –
increasing value Anti – churn
models
Customer
recovery
Debt prevention and collection
optimization
Debt collection
optimization
• Data Mining methods support the decision making process in different phases of the cycle
• The use of data mining methods is justified whenever predicting the customer’s future actions
is crucial for the effectiveness of the business process
Software + Analytical services for CRM, reporting, building data marts
© Algolytics. All rights reserved. 11
Supports all analytical tasks:
• Data extraction and transformation
• Building and evaluating models
• Testing
• Reporting
Complex analytical processes can be defined in a simple way using drag & drop technique.
Advanced users can create their own scripts and new node types.
ADVANCEDMINER
Integrated analytical tool with a graphical environment
for data processing, analysis and modeling.
© Algolytics. All rights reserved. 12
Advanced features:
• Support for SQL language
(including analytical functions)
• Integration with the R package
• Integration with Java
ADVANCEDMINER – SCRIPTING INTERFACE
Limitless possibilities
for advanced users !
© Algolytics. All rights reserved. 13
AvancedMiner SNA models social relationships among persons e.g. customers of the company.
Such analysis can enrich information about customers by:
• Identifying social community the customer belongs to
• Identifying the customer’s role in the community
• Measuring the strength of his impact on the neighbourhood
• Tracing paths of information flow between the customers
AdvancedMiner SNA can be used for:
• Identifying leaders and customers who build up loyalty
• Increasing up-selling and targeting of product
recommendations
• Fraud Detection and churn prevention
ADVANCEDMINER SOCIAL NETWORK ANALYSIS [SNA]
© Algolytics. All rights reserved. 14
SCORING ENGINE
Implementations • Sygma Bank
• Alior Bank
• Post Office Bank
• mLeasing (Commerzbank
Group)
• BGŻ Bank (Rabobank Group)
Hundreds of POS
Over 1 000
requests per
second per node
Hundreds of models
Multiple decision scenarios
Tens of internal/external databases
© Algolytics. All rights reserved. 15
MODEL LIFETIME MANAGER [MLM]
MLM was tested on thousands of models.
Main features • Monitors the quality and stability of large
sets of predictive models
• Automates the process of calculating
scores
• Generates alerts and reports concerning
models’ performance
• Serves as an off-line scoring engine for
mass scoring (e.g., can score 20 millions
of customers with 100 models at once
and automatically distribute the results)
Benefits
• Ensures high quality predictions for
multiple models
• Improves efficiency of business processes
for CRM, Credit Check, Debt Collections,
and other
• Eliminates labour-intensive work of
maintaining multiple models
• Speeds up configuration and
deployment of a scoring model
© Algolytics. All rights reserved. 16
BESPOKE ANALYTICAL APPLICATIONS –
DATA QUALITY CONTROLER (DQC)
Dedicated solution for Polkomtel (telecommunication company) to control quality of data
in operational systems and in a data warehouse.
Functionality
• Enables the user to define new test
• Scheduling and automatically running tests
• Enables the user to define new test
• Reporting test results
• Keeps history of data test results
• Notifies users about data quality problems (e-mails)
© Algolytics. All rights reserved. 17
DATA QUALITY & PROCESSING
Data processing
• Designing and implementing analytical data marts
• Specialized marts for analytical areas, like analysis of profitability, revenue, marketing
campaigns
• 360˚ customer view data marts for efficient modeling and scoring
Data quality
• Data profiling, standardizing, deduplication and finding householders
• Enriching with other sources
• Automating process of cleaning the data
• Own tool for data quality
© Algolytics. All rights reserved. 18
Business solutions that work
Reliable analytical platform
Modern and flexible technology - Customized
solutions
Experience since 2001
Advanced expert knowledge
Cost effective solutions
Ongoing R&D project in cutting-edge technology:
Automatic Business Modeler
WHY ALGOLYTICS?
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on analytics visit Algolytics blog
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