Story of our company - what we offer, how we changed from consulting company to product copmpany. Overview of data analytics and predictive analytics solutions - such as Advanced Miner platform for complex data mining, Social Network analysis, Data quality tools etc. Contact us for more info http://algolytics.com/blog/ check our news at the Blog: http://algolytics.com/blog/

1. About Algolytics
company

2. © Algolytics. All rights reserved. 2
WHAT WE DO?
• Analytical software
• Advanced analytical
services
• Bespoke analytical
applications
to address our customers’
needs:

3. © 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, globalizationConsultingConsulting Dedicated analytical applications
First and long-time
customer

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OUR CLIENTS

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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
• …

6. • 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

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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 CRMIntegrated Analytical
Platform

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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

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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

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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

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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.

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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 !

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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]

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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

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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

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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)

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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

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 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?

19. For industry news
on analytics visit Algolytics blog
algolytics.com/blog
click here to open

20. Visit our webpage
and contact us for more information
info@algolytics.com
www.algolytics.com