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Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » data warehouse definition etl


A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data warehouse definition etl  technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing association. Before founding Pine Cone Systems, Bill was a co-founder of Prism Solutions, Inc. Ralph Kimball Ralph Kimball was co-inventor of the Xerox Star workstation, the first Read More...
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and

data warehouse definition etl  SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and cost real dollars. According to recent industry studies: Poor data quality costs businesses $611 billion per year in the United States alone (TDWI). 75% of businesses have experienced significant problems due to faulty data (PWC). Only 33% of businesses felt confident in the quality of their company''s data. Now imagine the downstream impact of this same poor quality data fueling business decisions. Not Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

data warehouse definition etl  (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much of your risk as possible through effective planning and Read More...
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

data warehouse definition etl  be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting and analysis. DWs also provide a technical solution to the problem of multiple systems, separate data stores, and rapidly expanding historical data, since information is extracted from various transaction-based systems, such as spreadsheet, enterprise resource planning ( 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 warehouse definition etl  manual input of product data Complete Item Data, including vendor part numbers, product attributes, and UPC’s (where available) Product dimensions, weight, size, cube, etc., enabling warehouse automation Proper abbreviations in Brand and Description fields Accurate and up to date costing and pricing data Keeping item data in sync with vendors, 3rd party content services, customers and other applications or databases within your enterprise. Eliminating bad item data provided by vendors, including costs Read More...
How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

data warehouse definition etl  to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren''t managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren''t Read More...
The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business

data warehouse definition etl  New Virtual Data Centre Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. Read More...
Warehouse Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation
When searching for a warehouse management system (WMS), a number of myths surface.

data warehouse definition etl  Management Systems: Pie in the Sky or Floating Bakery? Part One: Myths of the Warehouse Management Systems and Implementation Introduction I just returned from a week long conference and as one of the speakers/vendors there, I was not looking to receive the same thing that the attendees were looking to receive. I was looking for clients; however, I mostly found patients . I found most of my time was spent psychoanalyzing what people had been told by competitors and other logistics companies. 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

data warehouse definition etl  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...
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

data warehouse definition etl  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and o Read More...
Collecting Meaningful Data from the Web: Once an Impossibility, Now a Reality
The traditional way of extracting data from disparate data sources has been transformed by the emergence of new tools and applications, as well as the

data warehouse definition etl  Meaningful Data from the Web: Once an Impossibility, Now a Reality   Once upon a time, organizations would extract data from several types of data sources, including different business software applications such as enterprise resource planning (ERP) systems, customer relationship management (CRM) applications, and others. Data sources also included such documents as plain-text docs and even spreadsheets. The traditional way to extract data from these sources involved a data integration 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 warehouse definition etl  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...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

data warehouse definition etl  Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...

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