 |
Shine a New Light on Your
Business |
| Companies
in a wide range of industries - including retail,
finance, health care, manufacturing transportation, and aerospace - are
using data mining tools and techniques to take advantage of historical
data. By
using pattern recognition technologies and statistical and mathematical
techniques to sift through warehoused information, Subsidium can help
you
recognize significant facts, relationships, trends, patterns,
exceptions and
anomalies that might otherwise go unnoticed. |
|
We
have used data
mining to:
- Identify
unexpected shopping patterns in supermarkets.
- Optimize
website profitability by making appropriate offers to each visitor.
- Predict
customer response rates in marketing campaigns.
- Defining
new customer groups for marketing purposes.
- Predict
customer defections: which customers are likely to switch to an
alternative supplier in the near future.
- Distinguish
between profitable and unprofitable customers.
- Improve
yields in complex production processes by finding unexpected
relationships between process parameters and defect rates.
- Identify
suspicious (unusual) behavior, as part of a fraud detection process.
Our Stasticians stay on the
cutting edge of data mining methods such as:
- Time
Series Analysis
- K-Means
Clustering
- Regression
Modeling
- Kohonen
Networks Clustering
- BIRCH
Clustering
- Decision
Trees
- Classification
and Regression Trees
- Market
Basket Analysis
- Association
Rule Mining
- Logistic
Regression
- Multiple
Regression and Model Building
- Dimension
Reduction Techniques
- Hypothesis
Testing
- Web
Usage Mining
|
| Contact
Subsidium BA to See How We Can Help You |
|
|
