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Documents related to » about data base


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.

ABOUT DATA BASE: www.MelissaData.com or call 1-800-MELISSA. About Total Data Quality Integration Toolkit (TDQ-IT) TDQ-IT is a full-featured enterprise data integration platform that leverages SQL Server Integration Services (SSIS) to provide a flexible, affordable solution for total data quality and master data management (MDM) initiatives. For a free trial visit www.MelissaData.com/tdq About Microsoft Founded in 1975, Microsoft (Nasdaq MSFT ) is the worldwide leader in software, services and solutions that help people
9/9/2009 2:32:00 PM

About Austar
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ABOUT DATA BASE: About Austar About Austar Source: Professional Advantage Document Type: Brochure Description: ... About Austar style= border-width:0px; />   comments powered by Disqus Source: Professional Advantage Learn more about Professional Advantage Readers who downloaded this brochure also read these popular documents! Welch s
7/30/2010 3:51:00 PM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

ABOUT DATA BASE: the Data Project Team about 10% and the Data Cleansing team 100%. The simplest way to manage this is via a scorecard. Excel works just fine, or you could use MS Project. List every data field as an individual work unit Then setup the milestones/gates for measurement. We use the following for column headers and time estimates to build the scorecard. Functional BA Assigned Analysis Start Date - Stagger start dates. A seasoned functional BA should be able to start 2 to 3 fields per week. Analysis Due Date
1/14/2006 9:29:00 AM

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.

ABOUT DATA BASE: accounts. A common question about master data is, What is the difference between master data and reference data? Some people take the position that they are the same thing, but it can be argued that not all reference data is master data. For example, lookup and code tables that are used to encode information, such as state names and order codes, are not strictly master data tables. The dividing line between master data and reference data is not always clear-cut. One solution is to break master data
6/1/2009 5:10:00 PM

Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

ABOUT DATA BASE: Source: Globanet Learn more about Globanet Readers who downloaded this white paper also read these popular documents! A Roadmap to Data Migration Success A Road Map to Data Migration Success Achieving a Successful Data Migration 5 Keys to Automated Data Interchange Data Migration Using Business Objects Information Management Software Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM)
8/8/2013 1:47:00 PM

Data Grouping and Drill-down
Understanding process variation is vital—not only in manufacturing industries, but in transactional environments as well. That’s why the tools you use to understand the root cause of common cause variations need to be both powerful and easy to use, whether you’re measuring variations in sales performance, wait times in hospital emergency rooms, or cycle times for order fulfillment.

ABOUT DATA BASE: Hertzler Systems Learn more about Hertzler Systems Readers who downloaded this white paper also read these popular documents! Best Practices for ERP Implementation How to Use Projects to Master Asset Management TEC 2013 CRM Buyer s Guide for Medium and Large Enterprises TEC 2013 ERP Buyer s Guide for Process Manufacturing 3 Key Areas to Reduce Costs with Lean Techniques Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning
4/25/2007 10:47:00 AM

The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

ABOUT DATA BASE: have a metadata ( data about data ) repository, which allows the data sources, targets, and transformations to be tracked in an effective manner. The tool should be able to access legacy data without the need for pre-processing (usually with COBOL programs) to get the data into sequential flat files . This becomes increasingly complex when working with filesystems like VSAM (Virtual Sequential Access Method), and files that contain COBOL Occurs and Re-Defines clauses (repeating groups and conditionally
8/2/2000

3 Big Trends in Data Visualization » The TEC Blog
Thanks for finally writing about > 3 Big Trends in Data Visualization ? The TEC Blog freeze pop nanny on 25 October, 2012 at 9:25 am # Pretty nice post. I just stumbled upon your blog and wanted to say that I’ve truly enjoyed browsing your blog posts. In any case I will be subscribing to your feed and I hope you write again soon! telephone number lookup on 3 November, 2012 at 2:43 pm # Thanks for any other magnificent article. Where else may just anybody get that kind of information in such a

ABOUT DATA BASE: TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
15-12-2011

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.

ABOUT DATA BASE: report to find out about the tremendous payback that comes from managing huge repositories of data. Got Big Data? Net Big Dollars! style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data Management Related Industries:   Industry 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!
2/11/2013 1:26:00 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.

ABOUT DATA BASE: service. For more information about ITIL, check out http://www.itlibrary.org Define the scope of the service, mission statement and vision Show your organization that a Data Transmission Service delivers value that can be measured. Take these steps Define, track, and publish your key metrics. (Like percentage of transmissions that are successful, number of transmissions per time frame, mean time to resolve exceptions) Quantify the cost for the service you provide, whether you bill-back or not. (Cost per
11/3/2008 1:06:00 PM

Massive Data Requires Massive Measures
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

ABOUT DATA BASE: a cash transaction worth about $1.7 billion (USD), IBM made an important move to establish itself as a big player in the big data field. Netezza holds a privileged position in the data warehouse and analytics arenas, and IBM will be able to take advantage of this leadership and its pre existing partnership to gain more presence in the market. Despite the “big money” involved in the transaction, this merger will give IBM the ability to indirectly gain important clients like eHarmony , Neiman Marcus ,
11/5/2010 10:03:00 AM


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