Modern data mining and big data analysis environment. The multifunctional interface facilitates process and group work management. This flexible solution allows any already collected data to be used and predictive analyses to be easily integrated with the organization's business processes. A wide range of prediction algorithms, including data science and machine learning, is available to solve complex problems. Built-in Python integration further enhances the range of possibilities.
Benefits
Open data mining, big data and data science environment
Several tens of IBM SPSS algorithms are available together with fully integrated R, Python, Spark technologies. This means access to artificial intelligence technology within one interface that does not require coding. R and Python extensions also allow text data to be effectively processed, to build service-based systems, or use external graphic engines.
Analyses in the hands of users
The solution makes cooperation between users easier. It allows procedures and other analytical resources to be safely stored. It has a "one-click" option for activating scoring and other analytical processes, also by business users.
Easy management of analytical processes
Built-in functionalities allow for extensive management of analytical processes - from creating a structure, to granting privileges and blocking edits, group work, to process control.
Saves time on process handling
Modern process automation does not only include prediction model training, but also extended types of automatic triggers, completion status notifications, and launch history logging.
Flexible solution
The architecture of the solution allows for flexible adaptation to the requirements of the organization and integration of predictive analyses within business processes and internal systems.
Real time solution
Distribution and implementation of results, evaluations, or recommendations recorded in databases can be carried out in real time through operating systems.
Comfortable start
We use technologies that are widely available at the best universities worldwide. Users receive access to the Predictive Solutions and IBM resource library. They obtain assistance from analysts with the longest working experience e.g. in IBM SPSS technologies in Poland – also in the form of training.
For whom?
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Data scientist
Conducting analyses aimed at selecting customers with high propensity to end the cooperation.
The investigation of customer behavior, symptoms increasing the risk of their departure and building analytical models in order to e.g. extract the rules of behavior leading to termination of cooperation, conducted in the PS CLEMENTINE PRO tool, allows selection of customers with a high propensity to terminate cooperation, and thus a campaign dedicated to those customers can be conducted.
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and data quality specialist
Automatic and continuous monitoring of data quality, verification of data increments and reporting of results.
Data quality control is an indispensable element of all processes related to data analysis and processing. Data quality should be checked before any data-driven decision-making process. PS CLEMENTINE PRO supports processes related to data integration, monitoring and improvement of data quality as well as automation of these tasks.
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Construction and automatic supply of analytical Data Marts supporting optimization of work.
PS CLEMENTINE PRO supports processes related to integration and processing of data from various sources. It is perfect for building analytically dedicated Data Marts and ETL operations for their supply. With built-in automation, cyclical supplies can be planned and carried out at the most convenient time. PS CLEMENTINE PRO can also be used to perform advanced analyses based on the created Data Marts.
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Increasing the business value of customers by building cross-selling sales strategies.
In marketing activities, it is important not only to acquire new customers, but also to build individual, lasting relationships with existing customers and maximize profit from those relationships. Customer value can be increased through cross-selling campaigns. PS CLEMENTINE PRO solution is available to build predictive models integrated with the system, providing the best recommendations for products or services dedicated to specific customers.
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Offered functions
News in version 4.0
We are constantly developing our products to make your data work even better for you.
- NEW VERSION OF THE ANALYTICAL ENVIRONMENT
(IBM SPSS Modeler 18.4) - ADDING AND EXECUTING COMMAND LINE COMMANDS IN A WINDOWS ENVIRONMENT
- STREAMLINING THE COMPLETION OF FREQUENTLY PERFORMED TASKS
- SWITCHABLE THE PYTHON ENVIRONMENT
- COMPATIBILITY WITH WINDOWS 11
AND WINDOWS SERVER 2022
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