Data Mining is the Differentiator
StatSoft's brief on competitive advantage by making the most of information assets...
Short Course in Data Mining
New to Data Mining? Download StatSoft's Short Course...
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Data Mining is the differentiator. Some have labeled the current period, appropriately, as “The Age of Analytics,” a period in which the information age has led us to the application of analytics to derive insights from these incredible sources of data.
Data Miner Testimonials
The largest international survey of data mining practitioners reports highest levels of adoption and satisfaction with StatSoft's STATISTICA software...
— 2011 Rexer Data Miner Survey Summer, 2012
"We have purchased STATISTICA Data Miner for our department under Higher Education Quality Enhancement Program (HEQEP) from Arc Bangladesh Ltd. On 12th and 13th of October 2012 StatSoft India in collaboration with Arc Bangladesh conducted two days onsite interactive training program... We found the training program very informative for our faculties and students."
— Dr. Ishrat Islam Assoc. Prof., Dept. of Urban & Regional Planning Bangladesh Univ. of Engineering Technology November 11, 2012
— Dr. Mohammed Nasser Chairman & Prof., Dept. of Statistics Rajshahi University, Bangladesh October 22, 2012
At StatSoft, we have the opportunity to collaborate with, consult, and train colleagues in the areas of data analysis and predictive modeling in a variety of industries: automotive manufacturing, financial services, medical device manufacturing, pharmaceutical R&D and manufacturing, semiconductors, etc. What our experience has taught us is that, in a competitive economy, companies can focus on opportunities for utilizing advantages and streamlining. One category of opportunity is to leverage the data that your company has already collected and manages.
The STATISTICA Data Analysis and Data Mining Platform, including the STATISTICA Data Miner software, offers the most comprehensive and effective system of user-friendly tools for the entire data mining process - from querying databases to generating final reports. StatSoft's data mining and predictive modeling software is available in single workstation, multiple-user (concurrent user licensing), and Enterprise editions.
STATISTICA Text Miner is an optional extension of STATISTICA Data Miner, ideal for translating unstructured text data into meaningful information.
Enterprise Analytics provides an efficient server-platform for off-loading resource-intensive model-building tasks, Web browser-based or Windows workstation clients, and central configurations of queries, analyses, report templates, and models.
STATISTICA Credit Scoring aids the development, evaluation, and monitoring of scorecard models.
STATISTICA Live Score® is STATISTICA Server software within the STATISTICA Data Analysis and Data Mining Platform. Data are aggregated and cleaned and models are trained and validated using the STATISTICA Data Miner software. Once the models are validated, they are deployed to the STATISTICA Live Score Server. STATISTICA Live Score provides multi-threaded, efficient, and platform-independent scoring of data from line-of-business applications.
STATISTICA Decisioning Platform® is a tool to efficiently deliver accurate predictive models for improved decision making throughout an organization.
STATISTICA Process Optimization, an optional extension of STATISTICA Data Miner, is a powerful software solution designed to monitor processes and identify and anticipate problems related to quality control and improvement with unmatched sensitivity and effectiveness.
StatSoft's Professional Services offer predictive analytics modeling, consulting and training. StatSoft offers an efficient 'Quick Start' package of training and consulting as an optional addition to the licensing of the STATISTICA Data Miner software, assisting new users with delivering business value and return-on-investment as quickly as possible after the acquisition of the software. StatSoft's consultants take a collaborative approach to projects, mapping the scope of services to fit your business priorities and available resources.
Below are useful links to StatSoft's overviews of popular data mining methods provided in the STATISTICA Data Miner platform: Association Rules Boosting Trees CHAID Classification and Regression Trees Classification Trees Cluster Analysis Feature Selection Generalized Additive Models General Optimization Independent Components Analysis Kohonen Networks (SOFM) Logistic Regression and Generalized Linear Models Machine Learning MARSplines Naïve Bayesian Classifiers Neural networks Optimal Binning Partial Least Squares Random Forests Response Optimization Root Cause Analysis Support Vector Machines Text Mining