Insightful Blog

Areas of Expertise

Insightful offers data analysis consulting services from statistical analysis and model building, to custom application development, to end-to-end system integration. Drawing on its technical consulting and research staff of software engineers, statisticians, and scientists (including 50 Ph.d.’s), Insightful has the expertise to tackle large scale and challenging problems involving data and statistical analysis.

While our group’s core competence is high-end analytics, we have a track record of successful enterprise deployment using the Web to enable frictionless access to information.

Statistical Consulting Expertise:

Analytic Customer Relationship Management
Financial/Business Performance Management
Operations/Production Management
Reporting and Decision Support Systems

Manufacturing
Statistical process control
Survival and reliability analysis
Degradation analysis
Designed experiments and ANOVA
Six Sigma methodology

Finance
Time series analysis
GARCH modeling and volatility forecasting
Robust and nonparametric financial modeling
Time series database management
Environmental statistics
Portfolio optimization

Pharmaceuticals and Health
Survival analysis
Clinical trial design and analysis
Pharmacokinetics
Spatial statistics
Sequential clinical trial analysis
Missing data

Science and Engineering
Signal and image processing
Wavelet analysis
Information retrieval

Image Processing
Search engines

Data Mining and Market Research
Tree modeling
Cluster analysis
Multidimensional scaling
Analysis with Trellis™ graphics
Neural networks
Response modeling

Software Engineering Expertise
Build custom S-PLUS libraries using S-PLUS functions with C, C++, and FORTRAN libraries and graphical user interfaces using the S-PLUS menu and dialog building tools
Develop point-and-click interfaces using JAVA, Visual Basic, Visual C++ and Web programming
Implement client-server software applications using
S-PLUS support for COM/DECOM/ActiveX, S-PLUS DLL’s

S-PLUS Server
Integrate databases with S-PLUS using ODBC, JDBC, S+SDK, or the Informix Universal Server S+DataBlad

October 24, 2008 - Posted by insightfulblog | Articles | | No Comments Yet

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