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Documents related to » bi data


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

BI DATA: Customer Data Quality | BI Data Quality | BI Data Quality Analysis | BI Data Quality Articles | BI Data Quality Assessment | BI Data Quality Business Intelligence | BI Data Quality Center | BI Data Quality Control | BI Data Quality Improvement | BI Data Quality Indicator | BI Data Quality Indicators | BI Data Quality Initiatives | BI Data Quality Issues | BI Data Quality Management | BI Data Quality Measurement | BI Data Quality Measures | BI Data Quality Methodology | BI Data Quality Methods | BI Data
9/9/2009 2:32:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for 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 migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

BI DATA: these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Best Practices for Fixed Asset Managers How to Use Projects to Master Asset Management Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica s data migration solution decreases the risk and minimizes the errors inherent in data
10/27/2006 4:30:00 PM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

BI DATA: of addresses (site location, billing address, and corporate headquarters) but only one address record per account. In order to capture all three addresses, the CRM analysts were duplicating account records. What they needed to do was extend their data model to hold three separate address records for each account, which impacted the data model of the new system being built. Had it not assessed its data beforehand, the manufacturer would not have discovered this problem until after the initial migration.
6/1/2009 5:02:00 PM

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation 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 quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

BI DATA: Data Cleanse Summary About BI Research About Business Objects Data Quality: What’s The Problem? Data quality has always been an important issue for companies, and this is even more the case today. Business and legislative pressures coupled with the explosion in the amount of data created by organizations is leading to increased corporate attention on improving the quality and accuracy of business data. This paper reviews current industry problems concerning data quality, and takes a detailed look at
6/1/2009 5:10:00 PM

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

BI DATA: White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
2/8/2008 1:14:00 PM

Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

BI DATA: these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Best Practices for Fixed Asset Managers Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human
3/16/2011 2:03:00 PM

Creating a Winning Data Transmission Service
Creating a Winning Data Transmission Service. Get Advice for Your Evaluation In Relation To Data Transmission Service. Today’s data transmission departments are battling for budget and relevance. Moving files and ensuring delivery is getting tougher every day. To successfully deliver data to an increasing number of target platforms and meet rising customer expectations, leading companies are adopting service-oriented architectures (SOAs) and upgrading their file transfer departments into data transmission services. Find out more.

BI DATA: | Wireless Transmission | BI Data Transmission | BI Digital Data Transmission | BI Data Transmission Media | BI Service-oriented Architecture SOA | BI Service Oriented Architecture pdf | BI Service Oriented Architecture Diagram | BI Enterprise Service Bus | BI Service Oriented Architecture Business | BI Service Oriented Architecture Solutions | BI Enterprise SOA | BI SOA Governance | BI Web Services Data Transmission | BI Data Services Architecture | BI Efficient Data Transmission | BI Architecture
11/3/2008 1:06:00 PM

A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them.

BI DATA: these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Best Practices for Fixed Asset Managers Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human
3/16/2011 11:27:00 AM

Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

BI DATA: Independent Related Keywords:   big data management,   data repositories Source: Mindshare Technologies Learn more about Mindshare Technologies Readers who downloaded this white paper also read these popular documents! Extending BI’s Reach: Anticipate Outcomes, Forecast Results, and Respond Proactively Sales Process Map Best Practices for ERP Implementation Best Practices for Fixed Asset Managers Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating t
2/11/2013 1:26:00 PM

Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

BI DATA: Management,   Business Intelligence (BI),   Database Management System (DBMS),   File Management,   Dashboard,   Metadata Modeling Related Industries:   Industry Independent Related Keywords:   data governance,   data governance best practices,   data governance model,   data governance institute,   what is data governance,   data governance framework,   data governance roles and responsibilities,   data governance definition,   data governance strategy,   data governance software,  
3/21/2011 1:41:00 PM

5 Keys to Automated Data Interchange
5 Keys to Automated Data Interchange. Find Out Information on Automated Data Interchange. The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data with in-house enterprise resource planning (ERP) and accounting systems. Unfortunately, over 80 percent of data integration projects fail. Don’t let your company join that statistic. Learn about five key steps to buying and implementing EDI to ERP integration software.

BI DATA: companies one of the biggest implementation challenges often deals with data. There are two aspects of the data you are going to be dealing with that you need to consider; data cleanliness and subject-matter expertise. Data cleanliness simply means that before you embark on your EDI integration project you should consider the state of your data and how it will impact the project. More specifically, think about issues like duplication or inaccurate data; for example you may employ a lookup table to cross r
3/26/2008 3:35:00 PM


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