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The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

data mining classification  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. Read More...
Mining Industry (ERP & CMMS)
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Documents related to » data mining classification


Statistica
StatSoft@s flagship product line is the STATISTICA suite of analytics software products and solutions. STATISTICA provides the most comprehensive array of

data mining classification  management, data visualization, and data mining procedures. Its techniques include the widest selection of predictive modeling, clustering, classification, and exploratory techniques in one software platform. Read More...
Why CRM Is So Hard and What To Do About It: Data is key to making CRM work
Making a CRM investment work is a two-step process that begins with unifying disparate systems by creating and managing standardized, reusable business

data mining classification  analytic applications such as data mining and targeted marketing campaigns, for example - work very well inside their boxes. But nothing has coordinated the customer touch points, or bridged the gaps between the siloed systems that support them. These problems are more painfully apparent now that the two-year vacation from capitalism is over. Companies need to maximize the huge investments they've made and concentrate on getting things to work the way they wished they would have in the first place. Meanwh Read More...
Atex Polopoly: WCM for More than Just the Media Industry
Atex knows what media companies need for publishing online today. And while its Web content management (WCM) solution puts editorial teams at home in the

data mining classification  requirements using the comprehensive data on Atex Polopoly that we recently included in our evaluation center. Click here to evaluate Atex Polopoly now . Atex finds itself in an interesting position. News, magazine, and broadcast media organizations know Atex, but many companies outside its traditional market may not be aware of the applicability of Atex’s products. Even traditional Atex customers don’t always have the company’s WCM solution at the forefront of their associations with Atex. Peter Ma Read More...
The Intelligence of Social Media (Part 1)
According to Wikipedia, “social media is online content created for people using highly accessible and scalable publishing technologies.” These days, networking

data mining classification  company measure and analyze data generated outside its own controlled space if it doesn’t have control over users? The answer is simple: interpret what people are expressing directly on the Web. There are important advances already made in order to capture, measure, analyze, and understand what people are saying about a company’s products, services, etc. These advances are based on the concept that social media content was made by adding “metadata” as keywords. This metadata enables text to be cat Read More...
An Architect's Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

data mining classification  Form and Function—the Dimensional Data Model A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

data mining classification  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

data mining classification  Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of scale of cloud storage providers high Read More...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

data mining classification  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

data mining classification  Margin over Continously Cleansed Data Optimizing Gross Margin over Continously Cleansed Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits. Source : epaCUBE Resources Related to Optimizing Gross Margin over Continously Cleansed Data : Data cleansing (Wikipedia) Gross margin (Wikipedia) Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

data mining classification  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data Protection Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

data mining classification  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data mining classification  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered

data mining classification  Mining Industry Profitability Killers through a Common Decision Environment Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into Read More...

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