PS CLEMENTINE PRO /// effective data modelling and deployment

Implementation Project Manager

Manager of the Benefit Control Department

Director of Operations

Data Mining Specialist

Data Processing Manager

Marketing Campaign Manager

Senior Analyst

2www.predictivesolutions.pl PS CLEMENTINE PRO /// effective data modelling and deployment

Data transformation without scripting

z Graphical user interface: drag and drop. z Simple visualisation of complex operations and advanced algorithms. z Automatic recognition of data structure and format. z Parallel processing of data from multiple sources. z Simultaneous readout of data with the same structure from multiple files. z Scalable with large volumes of data. z SQL Pushback: automated pushing back of instructions to the database engine. z Smart optimisation of data transformation in a process. z Integration with databases, database functions. z Data integration within the application; from various sources and in various formats. z Check and build mode: data interaction that facilitates further transformations based

on results of previous stages. z Automated saving at specified intervals. z Compatibility with Microsoft Office. z Custom standardised user procedures. z Advanced program handling, also using a scripting language.

Continuous control over data quality

z Automatic identification of data type and missing data.

z Access to simple and multidimensional methods to improve data quality.

z Visualisation of data issues. z Data validation with dictionaries

and functions. z Integrated methods to

improve data quality, suggest transformations and simulate modelling results.

z Methods to assess predictor quality integrated with model input control process.

FIguRE 1. Analytical stream building a churn model Management of the analytical process, from transformations

to scoring and automation

z Tools in line with requirements of the CRISP–DM methodology. z Automated logging for the data mining process. z Automated model update mode. z One-step implementation of models in scoring both within and outside the analytical

environment. z Methods for parameterisation of automated procedures, including parameterization

of SQL code in the IBM SPSS Modeler process. z Advanced mathematical optimisation available.

3www.predictivesolutions.pl PS CLEMENTINE PRO /// effective data modelling and deployment

Networking and group work management

z Integrated desktop for the repository, IBM SPSS Modeler and analytical process management.

z Repository access authentication. z Option to organise objects and object access in the repository – embedded folders and

user groups with specific roles. z Adding users with individual privileges for accessing and editing objects in the

repository depending on their function. z Adding users from an Active Directory list – uniform representation of employees in

systems. z User(s) with the greatest privileges control the whole process. z Locking specific users out of the repository. z Access to results of work of analysts and advanced analytical procedures for business

users without the interface of the analytical tool. z Searching objects in the repository with advanced algorithms that include many

properties of objects. z Full history of all tasks straight from the system.

FIguRE 2. Repository – adding users with individual privileges to folder

Growth of knowledge through modelling

z A wide variety of configurable algorithms, statistical techniques, and data mining.

z Combination of data knowledge, business knowledge, and expert knowledge in interactive modelling.

z Quick start thanks to default settings of algorithms and automatic modelling nodes.

z Easy assessment of predictor importance in a model, regardless of modelling technique.

z Improvement of classification with accuracy and stability techniques, boosting and bagging.

z Segment profiling and improving segment knowledge level directly in the interface of a generated model.

z Simultaneous use of multiple techniques for prediction thanks to ensemble models.

Safe storage of procedures

z Analytical object (such as streams and tasks) repository available from the IBM SPSS Modeler interface.

z Integrated repository and IBM SPSS Modeler cooperation. z Versioning and labelling of objects stored in the repository. z Sharing repository folders with selected groups of users only. z Locking repository objects.

Modern process automation

z Creating tasks with analytical processes and triggering methods inside the repository. z Identification of object versions within a task through object labelling. z Automated procedure triggering with a schedule. z Tasks triggered automatically by a specific event. z E-mail notifications about task completion for specified users. z Detailed history of completed tasks.

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Predictive Solutions Sp. z o.o.ul. Racławicka 58, 30 – 017 Kraków, PolandT +48 12 636 96 80 /// Fax ext. 102

www.predictivesolutions.pl

PS CLEMENTINE PRO © Copyright Predictive Solutions Sp. z o.o. [formerly SPSS Polska], 2013 ‒ 2017 ///  PS ACRM, PS AML, PS CLEMENTINE PRO, PS FRAUD, PS HORIZON, PS IMAGO PRO, PS QUAESTIO PRO, PS TUTELA PRO and PS VINDICATIO are trademarks Predictive Solutions Sp. z o.o. ///  IBM SPSS © Copyright IBM Corporation, 2000 – 2017

PS CLEMENTINE PRO /// effective data modelling and deployment

Predictive Solutions (formerly known as SPSS Polska) has been providing solutions for extracting information from data for 25 years. It offers knowledge and experience together with software and comprehensive solutions for efficient data analysis in business, public administration, research, and education.

The solutions use IBM SPSS technologies whose main distributor in Poland since 1989 has been Predictive Solutions. The company has built a wide portfolio of solutions that meet users' needs based on in-house experience and client input:

z a comprehensive analytical and reporting platform – PS IMagO PRO z a platform for surveys, which supports data collection, analysis, reporting, and distribution

of results – PS QuaESTIO PRO z a centralised system for implementing and managing the predictive analysis process –

PS CLEMENTINE PRO z a case management system – PS SYMOBIS z bespoke solutions for selected business areas such as anti-money laundering, customer

relationship management, fraud prevention.

From statistics and reporting, to data mining and predictive solutions, Predictive Solutions helps you use your data to look into the future and make the best decisions.

FIguRE 3. Tasks stored in the repositoryIndustry specific solutions:

analytical systems integrated with operational systems

z PS aCRM – analytical management of customer relationships with outgoing and incoming direct marketing campaigns supported with precise, analytical targeting.

z PS FRauD – identification and prevention of high fraud risk cases in financial institutions with flexible definitions of detection scenarios.

z PS VINDICaTIO – predictive analyses for more effective debt collection with creation of action scenarios, freezing of unpromising cases, or speeding up payments in portfolios.

z PS aML – effective anti-money laundering actions with multidimensional risk analysis and assessment, interfaces for case handling, and reporting for management and to the Financial Authorities.

Built-in integration with other analytical environments

z System automation with Python scripts z Compatibility with algorithms written in Python z IBM SPSS Statistics / PS IMagO PRO z R Environment z uNICOM Intelligence Suite / PS QuaESTIO PRO z IBM Cognos BI, IBM TM1 z Databases (e.g. MS SQL, Oracle, DBII, Teradata) z IBM Netezza