With DataScope Custom Solution Builder Suite a consultant or analyst can create a custom software for the customer's special data analysis and reporting needs while utilizing all data mining techniques available in DataScope. There is no need for programming since all this is done by building a usual DataScope analysis project and the custom solution program file can be automatically generated from it. The custom solution program can be distributed and used with the DataScope Custom Solution Runtime software.

The various features and behaviours of the custom solution program can be set, controlled or restricted during the generation process; these include direct data accessibility, data import filters, query functions, HTML and printed reports and the user interface of the software.

DataScope Automation Suite offers all analysis tools that DataScope Power Suite offers, extended with the capability of generating custom solution programs, thus it can be used for both data analysis and application development. The suite also includes one developer license of DataScope Custom Solution Runtime software for development and testing purposes.

DataScope Custom Solution Builder Suite comprises the following modules: DataScope Explorer base component and Predictor, Clusterer, Decision Support, Data Map, Reporter, Custom Solution Builder modules.

 

Product features by component:

DataScope Explorer

Flexible data input/output connectivity using ODBC and native interfaces
Data transformations using calculated data fields and converters
Multi-dimensional interactive synchronized charts
Real time 3D image rendering
Visual data query without commands
Data hierarchies and drill-down analysis
Data quality reports
Automatic correlation finder
Automatically generated natural language chart descriptions
Customizable printed reports
Flexible exports of calculated results and chart images

DataScope Predictor Module

Wizard guided model training
Data filters with custom expressions for training and test data set definition
Random sampling of data sets
Auto validation of training and test data sets
Learning from data sets containing not known (n/a) values
Visual display of models
Export models to DataScope Model Executor
PMML model export

Modeling methods supported:
	Clustering Methods: Kohonen, Shepherd, Fuzzy C-Means Classification Methods: Decision Tree, Rule Set Instance-based Methods: K-Nearest Neighbor (k-NN) Regression Methods: Neural Network, Linear Regression, Quadratic Regression, Trend Analysis with Non-Linear Regression, Support Vector Machine, Logistic Regression

DataScope Clusterer Module

Dinamic recalculation of clusters on data changes
Flexibly reusable cluster results
Tight integration into DataScope Explorer
Clustering methods supported: Kohonen, Shepherd and Fuzzy C-Means

DataScope Decision Support Module

Ranking of alternatives based on many contradictory decision criteria
Offers visual tools for evaluating the decision results and ranking in detail
Capable of learning decision hierarchies from existing ranking results
Tight integration into DataScope Explorer

DataMap Module

Make import of data into DataScope simple using predefined database schema
Data import from multiple tables of a relational database
Predefine data transformations and data hierarchies, create new virtual calculated fields
Apply field name aliases

Reporter Module

Generate reports in HTML format
Export data and calculated results into XML
Publish reports on Intranet or Internet
Highly customizable appearance
CSS style sheet support

Custom Solution Builder Module

Build custom data analysis applications without programming
Customizable end-user interfaces and behaviors