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Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data

data mining companies  of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. What is eCRM? Customer Relationship Management is an information industry term for methodologies and software that help companies manage customer relationships in a structured way. For example, an enterprise might build a database about its customers that describe relationships in sufficient detail. Ideally, the information in the Read More
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Documents related to » data mining companies


Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

data mining companies  Analysis | Business Intelligence Data Mining | Business Intelligence pdf | BI Whitepapers | Business Intelligence White Papers | Business Intelligence Dashboards | BI Data Warehousing | Business Intelligence Best Practices | Ad Hoc Reporting | Business Intelligence Methodology | BI Query | Data Warehousing Software | Data Warehousing Tools | Easy-to-Use Set of Business Intelligence | Achieving Business Intelligence BI in Midsize Companies White Papers | IBM BI Solutions | IBM Business Intelligence Read More
Achieving Business Intelligence in Midsize Companies
Most companies have an incredible amount of data living in transaction-based, distributed systems and databases. But these databases are often not designed to

data mining companies  an incredible amount of data living in transaction-based, distributed systems and databases. But these databases are often not designed to communicate with one another, allow users to explore data in unusual ways, or quickly provide high-level summaries of data. Learn how business intelligence (BI) systems can provide these and other benefits, and how to implement BI in your organization. Read More
The Shortcut Guide to Achieving Business Intelligence in Midsize Companies
This guide introduces you to the key concepts of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more.

data mining companies  of business intelligence, including data modeling, data warehouses, online analytical processing (OLAP), and more. The author debunks many of the prevailing myths that scare small to medium businesses from investigating the use of business intelligence, and explains how the very same techniques and technologies used by massive enterprises are now available to them. Read More
Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

data mining companies  data warehouse definition , data mining , data mart , OLAP , business intelligence , BI , basics of data warehousing , Data Warehouse Lifecycle Toolkit , Data Warehouse Knowledge Base , Data Warehouse Generator , Modeling data warehouses , access Data Warehouse , used Data Warehouse . CONTENT Executive Summary Signs Your Company Needs a Business Intelligence Solution What Is Business Intelligence? How Business Intelligence Is Helping Midsize Organizations BI Components Explained Much More Than Just a Read More
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data mining companies  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

data mining companies  Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

data mining companies  Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

data mining companies  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data mining companies  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More
Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting

data mining companies  Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas. Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data mining companies  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

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