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Customer Relationship Management (CRM)
Customer relationship management (CRM) focuses on the retention of customers by collecting all data from every interaction, every customer makes with a company from all access points whether they a...
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Documents related to » data integration paper etl


Advanced ETL with Pentaho Data Integration
When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine

data integration paper etl  ETL with Pentaho Data Integration When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to? Read More...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data integration paper etl  Data Migration Techniques , Data Integration Server , Data Migration Importing Images , New Data Migration Manager , Data File Conversion , Database and Application Migration , Practical Data Migration , Database Migration Database Conversion , Data Migration Resources , Posts Relating to Data Migration , Software Data Migration , Migrate Data Without Disruption , Easy Migration Tools , Open Source Data Migration , Data Migration Options , Data Integration Tool , New Best Practices for Data Migration . Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

data integration paper etl  in CRM applications and data integration projects to gain a better view of their customers – only to discover that conflicting data makes them blind. Gartner estimates that more than 25% of critical data within large businesses is somehow inaccurate or incomplete. And that imprecise data is wreaking havoc. – Rick Whiting, Hamstrung By Defective Data, InformationWeek, May 2006. Although nobody disputes that poor data quality has a significant financial impact on companies, the figures in these 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 integration paper etl  have data quality and data integration tools needed to accomplish a data conversion? Is there a database or server available to host your data and code? When and how will you test the full conversion to ensure that your performance will meet the schedule needs? The team should evaluate what servers, databases, and software tools are available to host a migration project. Leverage what you can and do not reinvent the wheel. Specifically, review: Requirements documentation and capture Metadata and data Read More...
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 integration paper etl  Warehousing Information Center , Data Integration Paper , Data Warehouse Software , Data Warehousing Analysis , Data Warehouse Community , Data Warehouse Automation , Perspectives on Data Warehousing , Data Warehousing OLAP , Resource Data Warehouse , Land and Resource Data Warehouse , Data 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 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

data integration paper etl  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company''s materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More...
Informatica Adding a Cloud Workflow Angle to Data Integration
Informatica Corporation, an independent provider of data integration software, recently acquired Active Endpoints, a private business process management (BPM

data integration paper etl  Cloud Workflow Angle to Data Integration Informatica Corporation , an independent provider of data integration software, recently acquired Active Endpoints , a private business process management (BPM) provider. As a public company with over $800 million in annual revenue and over $500 million in cash, Informatica seems to be a great new home for Active Endpoints’ technology and customers. Not only will Active Endpoints technology be integrated throughout Informatica’s product line, but Informatica Read More...
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

data integration paper etl  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors 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 integration paper etl  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...
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 integration paper etl  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...
Avoiding the Four Data Display Pitfalls in Dashboard Design
Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also

data integration paper etl  the Four Data Display Pitfalls in Dashboard Design Presenting data and results is one of the fundamental stages of every business intelligence (BI) or business performance (BPM) deployment. Data is also important when adopting a new solution, and for the overall success of a BI project—even when the project stage does not represent any major technical challenge. A dashboard is the main screen by which end users, executives, managers, and information workers can see data generated by the BI Read More...
Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe

data integration paper etl  Data Quality Means A Waste of Money What Is Data Quality? When reality and the data in your system do not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer''s ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality problems. Transactions may have been inaccurately recorded, 1002 units were picked but 1020 were Read More...
What Makes a Good IT White Paper Good… and a Bad IT White Paper Very, Very Bad…
A white paper is a document or “brief” (and yes, perhaps unfortunately, I mean “brief” in the sense of something that informs rather than something that is

data integration paper etl   Read More...

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