Algolytics company Overview 2015

About Algolytics

company

© Algolytics. All rights reserved. 2

WHAT WE DO?

• Analytical software

• Advanced analytical

services

• Bespoke analytical

applications

to address our customers’

needs:


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


OUR CLIENTS


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 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


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


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


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


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.


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 !


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]


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


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


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)


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


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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Visit our webpage

and contact us for more information

[email protected]

www.algolytics.com