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Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

data mining methodology  customer retention. Therefore, unreliable data can lead to catastrophic results. As increasing evidence shows, business intelligence is key to CRM success and as demonstrated above, mining into poor quality databases has the completely opposite effect. Market Winners Alone, a stand-alone system is insufficient to tackle the underlying cause of poor data quality. Data quality should be considered a business issue and as such, businesses must create and institute enterprise-wide guidelines for data Read More...

Relational Solutions
Relational Solutions, Inc (RSI) has been providing high quality Business Intelligence @ Data Warehouse solutions since 1996. At RSI, we recognize the need

data mining methodology  quality Business Intelligence & Data Warehouse solutions since 1996. At RSI, we recognize the need for cost effective, subject-oriented solutions designer for quick hit applications that solve an immediate business need. We can typically implement these solutions in weeks, not months or years. We design our solutions around our Structured Process Methodology. Our methodology is an iterative approach that delivers business results quickly and at a fraction of the cost of our competition. It's a time Read More...
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Documents related to » data mining methodology


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

data mining methodology  Warehouse Web Site , Data Mining , Data Mart , Data Warehouse Architecture , Data Warehouse Concepts , Data Warehouse Tutorial , Data Warehouse Definition , OLAP , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in Read More...
PRONTO-Xi v.670 for Mixed-mode Enterprise Resource Planning Certification Report
Pronto Software's enterprise resource planning (ERP) software, PRONTO-Xi v.670, is now TEC Certified. The certification seal is a valuable indicator for

data mining methodology  Centers Pronto Software Market Data Summary | Technology Evaluation Centers PIM | Technology Evaluation Centers Pronto-XI Expertise | Technology Evaluation Centers Pronto XI ERP | TEC PIM | Companies Using Pronto | Pronto Human Resource | Pronto Partner | Pronto Main Competitors | Pronto Customers | Pronto Solutions | Mixed-Mode Pronto | Pronto XI Mixed-Mode | Comparing Pronto | Pronto XI POS | Pronto XI System | Pronto-XI Functionality | Pronto ERP | Report Pronto | Pronto 670 | Pronto POS | Read More...
Contemporary Business Intelligence Tools
Tools under the business intelligence (BI) umbrella combine to convert data into information, and information into decisions for action. Dashboards and

data mining methodology  a large amount of data from their business operations, and to keep track of that information, users would need to use a wide range of software programs, such as Microsoft Excel and Access (mostly on the lower-end of the market) and other, more sophisticated database applications for departments throughout their organization. Using multiple software programs makes it difficult to retrieve information in a timely manner and to perform analysis of the data. The term business intelligence (BI) thus Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

data mining methodology  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. 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 methodology  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...
Data Center Projects: Advantages of Using a Reference Design
It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete

data mining methodology  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

data mining methodology  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are Read More...
Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

data mining methodology  of Legacy Data - It Can Be Lethal Beware of Legacy Data It Can Be Lethal Featured Author - Jan Mulder - August 23, 2002 Introduction The term legacy is mostly used for applications. For example, according to the Foldoc dictionary, legacy is: A computer system or application program which continues to be used because of the cost of replacing or redesigning it and often despite its poor competitiveness and compatibility with modern equivalents. The implication is that the system is large, monolithic Read More...
Containerized Power and Cooling Modules for Data Centers
Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings

data mining methodology  and Cooling Modules for Data Centers Standardized, pre-assembled, and integrated data center facility power and cooling modules are at least 60% faster to deploy, and provide a first cost savings of 13% or more compared with traditional data center power and cooling infrastructure. Facility modules, also referred to in the data center industry as containerized power and cooling plants, allow data center designers to shift their thinking from a customized “construction” mentality to a standardized Read More...
MSI Data


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A Solution to Data Capture and Data Processing Challenges
Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the

data mining methodology  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

data mining methodology  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More...

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