THE POWER OF DATA MINING
We know the built-in benefit of successful data
warehousing: the ability to collect, store, analyze and act on massive
amounts of critical customer data. That's the good news. Today's
challenge? To take the business intelligence locked inside a data
warehouse to the next level, to turn it into the kind of predictive
insight that separates your business from your competitors. But
uncovering that insight means removing a barrier of intensive
computational steps of data preparation, pre-analysis and analysis of
huge volumes of detail data.
Data mining enables you to efficiently apply analytic
techniques to discover and interpret a variety of data patterns that
represents customer behavior and business trends. It helps businesses
answer complex questions by discovering previously unrecognized
relationships from hidden information, including:
your most profitable customers? And why are they so profitable?
can you increase your levels of customer satisfaction, loyalty and
customers will purchase across your product base?
channel is the most effective way to reach each customer?
can you respond to each customer as an individual?
can you predict sales trends and business drivers that affect sales?
Data mining allows you to get to know your customers
on an individual level, and use that knowledge to retain them and
enhance their profitability. And there's more. Data mining also provides
you with a better understanding of business trends - added knowledge
that lets you react dynamically to the changing market. With insight
into your Customer's behavior you can:
customer interactions and react dynamically to their needs.
more effective targeted marketing and cut costs by reaching out to those
most likely to respond.
winning strategies and make decisions based on real-world business
DATA MINING AND CRM
Teradata Data Mining, is a predictive analysis
solution that analyzes detail data. It uses intelligent software to
detect patterns through an exhaustive analysis of all the data in your
warehouse. The result: the ability to integrate data mining insight into
all your analytic applications, such as Customer Relationship Management
(CRM), to predict future customer behavior. Data mining supercharges
your analytic applications by providing:
- the likelihood a customer will purchase a product
- how much a customer will spend in the coming year
- what characteristics define profitable customers
- the common characteristics of each customer segment
drivers - the key characteristics that identify fraudulent behavior
BRINGING ENTERPRISE DATA MINING TO LIFE
Teradata Data Mining brings you one more significant
advantage - the ability to have a clear view of customer behavior across
your total enterprise. Built on the foundation of Teradata Warehouse
technology, this solution overcomes the massive processing bottlenecks
caused by analyzing ever increasing volumes of data. In fact, the
Teradata Warehouse provides a powerful infrastructure for handling
complex analytic processing of thousands of variables and millions of
transactions - every day. Teradata is the first to integrate data
warehousing and data mining, a combination that allows you to perform
cross-channel analysis against integrated customer data from the web,
call centers, demographics, transactions and usage. And we've built the
Teradata Warehouse to allow you to handle the rapid growth and change
that come with increased data, user volumes and more frequent updates.
In addition, Teradata tools and utilities streamline the loading of
fresh, clean data that is critical to building accurate models and
leveraging knowledge for dynamic customer interaction.
TERADATA WAREHOUSE MINER GROWS WITH YOUR BUSINESS
Teradata Warehouse Miner is a tool that provides a
comprehensive set of data mining functions. It enables you to build and
deploy analytic models directly in the Teradata Database. While,
traditionally, businesses have been limited to mining small samples of
enterprise data, the Teradata solution allows you to analyze the growing
volume of detail data required in today's environment of increasingly
complex questions. Teradata Warehouse Miner allows analytic applications
to scale up to the complexity of business problems, then delivers
results in the form of scores, predictions and descriptions. And, just
as important, those results can be managed in a single location,
providing your entire enterprise with access to the information they
need for more informed decision making. Teradata pioneered "in
place" data mining technology that allows you to improve data
data movement - there's no need for multiple iterations of data
extraction for sampling, exploration, model development and scoring.
errors - our centralized data mining architecture eliminates errors that
come with data movement across platforms, tools and databases.
data management - that same centralized architecture provides a single
version of the truth and eliminates redundancy.
the parallelism of the Teradata Database - leverage the high performance
and scalability of the Teradata Database.
accurate models - enabling analysis of large volumes of detail data.
REAL-WORLD DATA MINING SOLUTIONS
What market segments
do my customers fall into and what are their characteristics?
relationship for higher customer satisfaction and retention.
Propensity to Buy
Which customers are
most likely to respond to my promotion?
based on their needs to increase their loyalty to your product
line. Also increase campaign profitability by focusing on those
most likely to buy.
What is the life time
profitability of my customer?
business interaction decisions based on overall profitability of
How can I tell which
transactions are likely to be fraudulent?
Quickly detect fraud
and take immediate action to minimize cost.
Which customer is at
risk of leaving?
Prevent loss of
high-value customers and let go of lower value customers.
What is the best
channel to reach my customer in each segment?
customers based on their preference.
TERADATA WAREHOUSE MINER OFFERS POWERFUL FEATURES AND
Descriptive Statistics provide a variety of descriptive statistical
functions, giving the analyst detailed knowledge of the data to be
analyzed. These functions are also used to uncover data quality issues
that can jeopardize the accuracy of any analytic model.
Transformation Components provide a variety of column transformation
that are useful prior to designing the analytic model.
Data Reduction Functions reduce the amount of data required for analytic
algorithms. Data reduction matrices include correlation, co-variance and
other often used analytic algorithms.
Data Visualization provides graphics and charts for interpreting
Organization & Partitioning Functions enable restructuring of tables
and generation of samples and partitions.
Multivariate Statistical Analysis provides Linear Regression, Factor
Analysis and Logistic Regression techniques to build analytic models.
• Machine Learning Algorithms provide Decision Tree/Rule Induction and
Clustering Algorithms to build analytic models.
Model Deployment allows use of analytic models directly in the Teradata