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The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

implementation of data mining applications  growing popularity and increasing implementation of real-time data warehouses, it is important to consider some basic principles when considering a real-time data warehouse implementation. Data on Time, at the Right Time . The data must flow to the real-time data warehouse at the necessary speed in order to be considered valuable data. In a real-time data warehouse, the ETL batch mechanism based on a table or file transfer is replaced with a design in which data flows from very different yet synchronized Read More
Business Intelligence (BI)
Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » implementation of data mining applications


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

implementation of data mining applications  of the design or implementation of a data warehouse the initial key to good performance lies in the hardware configuration used. This has never been more evident than with the recent increase in the number of Data Warehouse appliances in the market. Many data warehouse operations are based upon large tables scans and other IO-intensive operations, which perform vast quantities of random IOs. In order to achieve optimal performance the hardware configuration must be sized end to end to sustain this level Read More
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

implementation of data mining applications  foundation of successful CRM implementation and accurate customer intelligence. Past experience and research show that 50 to 70 percent of many CRM initiatives should be devoted to data quality. Consequently poor data quality hampers a company's ability to realize the return from their investment in a truly integrated CRM. Data quality, therefore, should not be considered a one-time exercise. It has to be integrated as a core element in managing a business. Defective data quality leads to customer Read More
Komatsu Employs “Mod Squad” For Logility Implementation
At the Connections 2000 Logility user conference in New Orleans, users recounted implementation stories. Few were as striking as that of the Komatsu’s DRP

implementation of data mining applications  New Orleans, users recounted implementation stories. Few were as striking as that of the Komatsu's DRP implementation modifications, a testament to human ingenuity. Komatsu America is the second largest supplier of construction and mining equipment in the Western Hemisphere. It sells a complete line of hydraulic excavators, bulldozers, wheel loaders, dump trucks, graders, and crushers. In October 1998, the company began parallel implementations of Logility Voyager Solutions for distribution requirements Read More
Comparing the Total Cost of Ownership of Business Intelligence Solutions
For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant

implementation of data mining applications  process of design and implementation of physical schemas while providing all the benefits of a full-featured modern star schema infrastructure under the covers. Initial Load of the Target Schema Once a physical schema is designed which allows for the calculation of all of the elements in the logical model, that schema must be loaded with source data. Loading that schema traditionally involves two different phases: initial load and incremental load. The initial load typically includes historical data Read More
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

implementation of data mining applications  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

implementation of data mining applications  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and use Read More
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

implementation of data mining applications  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

implementation of data mining applications  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More
Enterprise Applications Consulting
Enterprise Applications Consulting (EAC) provides technology and market consulting, business plan development and revision, and custom research.

implementation of data mining applications   Read More
Web-enabling Legacy Applications
E-business is revolutionizing today’s business processes and transactions. In such a scenario of flux, maintaining legacy applications on staid, costly, and

implementation of data mining applications  enabling Legacy Applications E-business is revolutionizing today’s business processes and transactions. In such a scenario of flux, maintaining legacy applications on staid, costly, and cumbersome mainframe systems is hard to justify. Organizations need to decide between the knowledge residing in their legacy applications and the performance potential of the latest technologies. Learn about the advantages of Web-enablement—as well as the pitfalls. 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

implementation of data mining applications  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
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

implementation of data mining applications  a troublesome issue for implementation of a new system, it was apparent that it was at the root of the material management problems that had been plaguing the company for more than a year. There were several telltale operational symptoms: 150 purchase orders and 115 change orders per month; piles of packages in the receiving department prior to their shipping date; 12 percent of the manufacturing staff chasing parts; 75 percent of each shipment meeting spent addressing parts availability; and piles of Read More
Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

implementation of data mining applications  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More
Oracle Applications - An Internet-Reinvented Feisty Challenger
It is startling how much has changed in Oracle’s applications business during the last two years. Oracle is indisputably the most reformed applications vendor

implementation of data mining applications  provides much more focused implementation than most of other ERP or CRM players. In addition, having been able to provide a complete solution with a minimum reliance on 3rd-party products (and, consequently, with a lesser cost of software license), Oracle should continue to post very high margins and profits. Figure 1 Figure 2 Figure 3 Figure 4 Brand Recognition and Mind Share Momentum : Oracle has recently made inroads into SAP's and Siebel's absolute leadership in their respective markets by Read More

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