Rapid-I leads your company through the complete process of applying and integrating both established and leading-edge data mining methods. More than ten years of experience allow us to integrate these methods in order to improve almost all areas of your business, from the production process to marketing and customer releationship management. Imagine that you...   are able to identify customers before they quit, identify customers that are most likely to buy your product, find new cross-selling connections, are able to predict fraud before it is performed, identify trends in your specific market, react to the personal preferences of your (future) customers.

Consulting Analysis Projects Kick-off Packages

We provide a look into your future...

All employees of Rapid-I have several years of experience in analyzing business data and data of technical applications. We built models for fraud detection, acquisition and churn models, market prediction models, and models from exploratory data analysis. We also specialized in methods of data preparation and transformation as well as visualization. The overall process of Knowledge Discovery follows the Cross Industry Standard Process for Data Mining (CRISP-DM).

...with the data from your past

We use RapidMiner and other Rapid-I solutions for all analysis tasks. This ensures that we can easily develop individual extensions and solutions for your business. Of course it is possible to embed RapidMiner into your applications or adapt it in a way that RapidMiner delivers reports with just one click. By using RapidMiner you get both consulting and individual solutions from a single partner: Rapid-I.

We are happy to offer you an individual quote for your analysis requirements. Please contact us and a Rapid-I account manager will be in touch shortly to provide information, answer your questions and / or provide a detailed quote:

We provide three different packages for kick-off projects to help you get your predictive data analysis quickly started. The Standard package enables you to start with data mining using RapidMiner. Our guidelines and recommendations build a solid base for your future work. In addition, the Extended package includes an initial implementation of a first data mining solution for your organization and provides practical help in collecting and analyzing your data. The Premium package optimizes the achieved results by introducing advanced techniques and allows a first deployment into your processes.

With the first two packages you will learn how you can start and what can be done, with the third package you will also be able to estimate the real benefit of using data mining in your business.

	Standard	Extended	Premium
Number of Days	3	5	10
Data Mining Introduction	Yes	Yes	Yes
Rapid Miner Introduction	Yes	Yes	Yes
Statement of Business Objectives	Yes	Yes	Yes
Statement of Data Mining Objectives	Yes	Yes	Yes
Statement of Success Criteria	Yes	Yes	Yes
Recommendations / Guidelines	Yes	Yes	Yes
Basic Data Collection	No	Yes	Yes
Basic Application Designs	No	Yes	Yes
Basic Application Evaluation	No	Yes	Yes
Advanced Data Preprocessing	No	No	Yes
Advanced Application Designs	No	No	Yes
Advanced Application Evaluation	No	No	Yes
Implementation of Small Extensions	No	No	Yes
First Deployment	No	No	Yes

Individual consulting agreements with regard to the duration and content of the consulting are of course possible on request.

Contact us

Please contact us if you are interested in consulting or solutions in the fields of data mining, web mining, text mining, recommendation systems, or other data analysis tasks:

An analysis of your data might reveal unused knowledge and ease decisions for your business. We offer the complete range of statistical data analysis and modeling, including...   calculating statistics and significance of the results, prediction or classification model building, automatic reporting and graphical representation of results, analytical reports, checking the validity of models, building models which can be used for prediction purposes.

Data Analysis Data and Information Analysis Reporting

Data are not information! Methods of data analysis are used in a wide variety of occupations and help people identify, study, and solve many complex problems. In the business and economic world, these methods enable decision makers and managers to make informed and better decisions in uncertain situations.

Vast amounts of statistical information are available in today's global and economic environment because of continual improvements in computer technology. To compete successfully globally, managers and decision makers must be able to understand the information and use it effectively. This is a premise for making educated decisions in the business world.

Things are simple if one has a question in mind and is able to collect data necessary in order to give an informed answer to this question. Often, however, data is collected without such a question in mind. In other cases, only a vague idea exists which type of knowledge might be hidden in the data. On the other hand, data collection has become easy almost to the point of triviality.´ Piles of data are collected and important knowledge is often hidden without anybody knowing.

Data analysis provides two very different types of methods: unsupervised or exploratory analysis methods and supervised or predictive analysis methods. The goal for unsupervised analysis methods is to find inherent structures and patterns in your data you were not aware of. Clustering methods like k-Means, EM-Clustering, or hierarchical clustering deliver such patterns and are also able to identify outliers and interesting points which can not be explained by simple and well-known connections. Other unsupervised analysis methods include frequent item set mining (Apriori, FPGrowth, Closed Sets) which can be used to identify related items in your data and deliver useful rules. A famous application for this type of methods is mining databases of transactions for items often sold together.

In contrast to unsupervised analysis methods, the second large group of analysis methods are used it there is a concrete question which should be answered. These supervised learning methods are able to classify items, e.g. in good and in bad customers, or can predict future trends. Well known methods for this type of analysis are Decision Trees, Neural Networks, Support Vector Machines, and Prediction Rule Learners.

The analysis of data and the application of large scale machine learning methods characteristics of your data, inherent patterns, or prediction models will be found. The results may be reported in the form of a table, a graph or a set of percentages. Because often not the entire population was examined, the reported results must also reflect the uncertainty through the use of probability statements and intervals of values. The concrete form of reporting depends on your personal preferences and might be textual and/or graphical.

To conclude, a critical aspect of managing any organization is planning for the future. Good judgment, intuition, and an awareness of the state of the economy may give a manager a rough idea or "feeling" of what is likely to happen in the future. Data analysis helps managers forecast and predict future aspects of a business operation. The most successful managers and decision makers are the ones who can understand the information and use it effectively.

Contact us

Please contact us if you are interested in an in-depth analysis of your data:

Your requirements are not met with RapidMiner as a data mining application alone? Are you missing a specific operator or functionality? We design, program, and implement customized software for your project, process and data management on the basis of our know-how regarding data mining and knowledge discovery.   We transform your ideas and requirements into powerful tools that perfectly suit your needs We extend and adjust the existing software in your process environment We provide training courses and documentation We allow Data Mining in one click: machine learning as powerful as usual but as simple never seen before

Individual Solutions

Basis of our solutions is always interactive thinking: every solution in detail reflects your process environment. Grown, incompatible, isolated applications are replaced by integrative, continuous solutions. We are happy to develop solutions for your business in the fields of Data Mining, Text Mining, Web Mining, or Multimedia Mining. For all solutions we use RapidMiner as a core component and extend it by the desired functionality or embed it into your application.

Contact us

Please contact us if you are interested in a software solution for your data mining tasks: