Case Studies OSU Students Uncover, Explain, & Predict with Data Miner’s Impressive Array of Data Mining Algorithms

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	OSU Students Uncover, Explain, & Predict with Data Miner’s Impressive Array of Data Mining Algorithms

OSU Students Uncover, Explain, & Predict with Data Miner’s Impressive Array of Data Mining Algorithms

Technology Category	Analytics & Modeling - Data Mining Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Education Software
Applicable Functions	Business Operation Product Research & Development
Services	Software Design & Engineering Services System Integration Training
Challenge	Oklahoma State University (OSU) faced the challenge of equipping both traditional and non-traditional students with the tools necessary to solve a variety of classification and prediction problems. These problems ranged from predicting diabetic illnesses based on demographic data to forecasting financial indicators like the S&P 500 and foreign exchange rates. The university needed a comprehensive data mining tool that could handle these diverse requirements while being user-friendly and cost-effective. After evaluating several leading data mining tools, OSU chose STATISTICA Data Miner for its impressive array of algorithms, graphical interface, and web-based accessibility. The tool's ability to be launched as a web application was particularly appealing, as it allowed students to access it from any web browser without needing to install client-side components. Read More
About Customer	Oklahoma State University (OSU) is a comprehensive, land-grant university and research institution known for its focus on people and opportunity. The university serves a large population of traditional students as well as many non-traditional students who are working full-time in industry. These non-traditional students bring a wide variety of real-world classification and prediction problems to the university, making it essential for OSU to have robust data mining tools at its disposal. The university's Department of Management Science and Information Systems, led by Dr. Dursun Delen, plays a crucial role in teaching data mining to graduate IT students and conducting academic research. OSU's commitment to providing high-quality education and research opportunities makes it a leader in the field of data mining and analytics. Read More
Solution	OSU implemented STATISTICA Data Miner to address its diverse data mining needs. The tool was chosen for its comprehensive array of data mining algorithms, user-friendly graphical interface, and superior graphical capabilities. STATISTICA Data Miner allows users to create complete projects using graphical icons and connection arcs, which can be run all at once. The tool's web-based accessibility means that students can use it from any web browser without needing to install client-side components. This feature was particularly beneficial for non-traditional students who may not have access to university resources on a daily basis. The tool also supports parallel processing on multi-processor environments, dramatically increasing the execution speed of data mining projects. This was crucial for students who needed to meet tight deadlines. Additionally, STATISTICA Data Miner provides a rich set of data preprocessing and visualization tools, making it easier for students to analyze and interpret their data. The tool's deployment feature allows users to turn developed data mining models into production systems, further enhancing its utility for both academic and real-world applications. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data Mining

Analytics & Modeling - Predictive Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Education

Software

Applicable Functions

Business Operation

Product Research & Development

Services

Software Design & Engineering Services

System Integration

Training

Challenge

Oklahoma State University (OSU) faced the challenge of equipping both traditional and non-traditional students with the tools necessary to solve a variety of classification and prediction problems. These problems ranged from predicting diabetic illnesses based on demographic data to forecasting financial indicators like the S&P 500 and foreign exchange rates. The university needed a comprehensive data mining tool that could handle these diverse requirements while being user-friendly and cost-effective. After evaluating several leading data mining tools, OSU chose STATISTICA Data Miner for its impressive array of algorithms, graphical interface, and web-based accessibility. The tool's ability to be launched as a web application was particularly appealing, as it allowed students to access it from any web browser without needing to install client-side components.

About Customer

Oklahoma State University (OSU) is a comprehensive, land-grant university and research institution known for its focus on people and opportunity. The university serves a large population of traditional students as well as many non-traditional students who are working full-time in industry. These non-traditional students bring a wide variety of real-world classification and prediction problems to the university, making it essential for OSU to have robust data mining tools at its disposal. The university's Department of Management Science and Information Systems, led by Dr. Dursun Delen, plays a crucial role in teaching data mining to graduate IT students and conducting academic research. OSU's commitment to providing high-quality education and research opportunities makes it a leader in the field of data mining and analytics.

Solution

OSU implemented STATISTICA Data Miner to address its diverse data mining needs. The tool was chosen for its comprehensive array of data mining algorithms, user-friendly graphical interface, and superior graphical capabilities. STATISTICA Data Miner allows users to create complete projects using graphical icons and connection arcs, which can be run all at once. The tool's web-based accessibility means that students can use it from any web browser without needing to install client-side components. This feature was particularly beneficial for non-traditional students who may not have access to university resources on a daily basis. The tool also supports parallel processing on multi-processor environments, dramatically increasing the execution speed of data mining projects. This was crucial for students who needed to meet tight deadlines. Additionally, STATISTICA Data Miner provides a rich set of data preprocessing and visualization tools, making it easier for students to analyze and interpret their data. The tool's deployment feature allows users to turn developed data mining models into production systems, further enhancing its utility for both academic and real-world applications.

Impact #1	OSU students found STATISTICA Data Miner to be highly effective for their data mining projects, thanks to its comprehensive array of algorithms and rich set of visualization tools.
Impact #2	The tool's parallel processing capabilities significantly increased the execution speed of data mining projects, helping students meet tight deadlines.
Impact #3	The web-based accessibility of STATISTICA Data Miner allowed students to use the tool from any web browser, making it convenient for non-traditional students who may not have regular access to university resources.

Impact #1

OSU students found STATISTICA Data Miner to be highly effective for their data mining projects, thanks to its comprehensive array of algorithms and rich set of visualization tools.

Impact #2

The tool's parallel processing capabilities significantly increased the execution speed of data mining projects, helping students meet tight deadlines.

Impact #3

The web-based accessibility of STATISTICA Data Miner allowed students to use the tool from any web browser, making it convenient for non-traditional students who may not have regular access to university resources.

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Overview

OSU Students Uncover, Explain, & Predict with Data Miner’s Impressive Array of Data Mining Algorithms

Operational Impact