Data Mart ILM: Related Documents

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.

DATA MART ILM: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: 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
9/9/2009 2:32:00 PM

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

DATA MART ILM: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor
9/9/2009 2:36:00 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.

DATA MART ILM: Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: 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,
6/1/2009 5:10:00 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.

DATA MART ILM: Data Quality: A Survival Guide for Marketing Data Quality: A Survival Guide for Marketing Source: SAP Document Type: White Paper Description: 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
6/1/2009 5:02:00 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.

DATA MART ILM: Ground Up: Launching Your Data Governance Initiative Governance from the Ground Up: Launching Your Data Governance Initiative Source: SAP Document Type: White Paper Description: 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
3/21/2011 1:41:00 PM

Data Conversion in an ERP Environment
Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives.

DATA MART ILM: Data Conversion in an ERP Environment Data Conversion in an ERP Environment Joseph J. Strub - October 21, 2002 Read Comments Introduction Converting data in any systems implementation is a high wire act. Converting data in an ERP environment should only be undertaken with a safety net, namely a well thought-out plan of execution. This article discusses the guidelines for converting data when considering manual or electronic alternatives. First, let me start out by saying that data conversion is not an art
10/21/2002

How to Comply with Data Security Regulations
The best-kept secrets of Data Security secrets revealed!Get and read our whitepaper for free! A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you can create a routine that archives files you select for backup and storage.

DATA MART ILM: How to Comply with Data Security Regulations How to Comply with Data Security Regulations Source: BizDomainStore.com Document Type: Checklist/Guide Description: A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you
7/13/2009 2:16:00 PM

Actian and Pervasive Software: Big Merge for Big Data? » The TEC Blog
, a provider of data management, integration, and analysis software, have entered into a final agreement in which Actian will acquire all of Pervasive shares. In a deal valued at $161.9 million (USD), Actian will acquire Pervasive’s ability to deal with the management of data in its many forms and to work and analyze information in real time. This will significantly extend the power of its solutions with extensive integration and big data management capabilities. Steve Shine, CEO and president of Actian

DATA MART ILM: actian, actian corporation, analytic databases, Cloud, data integration, data management, databases, industry watch, pervasive, pervasive software, vectorwise, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
01-02-2013

SAS Puts the “E” in “Data”
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.

DATA MART ILM: provide analysis of the data collected at a website. Although the announcement covers three products, the SAS strategy is to present a solution that encompasses all of the data mining needs in a large enterprise. The WebHound product is a high-end clickstream analysis product. It analyzes the paths taken by customers viewing a website and can both produce standard traffic reports and answer ad hoc questions about the behavior of individuals or groups. E-Discovery is a data-mining product that can
3/27/2000

Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

DATA MART ILM: Data Quality Trends and Adoption Data Quality Trends and Adoption Source: SAP Document Type: White Paper Description: While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies
3/22/2011 9:46:00 AM

Privacy Challenges for Data Providers
Ensuring the quality, accuracy, and security of customer data has never been more important than it is today. The growing potential for privacy breaches and tighter compliance regulations have created unique challenges and responsibilities for many data providers. Here we discuss some of the key privacy issues surrounding data management, and how partnering with a provider of master data management (MDM) software can help.

DATA MART ILM: Privacy Challenges for Data Providers Privacy Challenges for Data Providers Source: Initiate Systems, Inc. Document Type: White Paper Description: Ensuring the quality, accuracy, and security of customer data has never been more important than it is today. The growing potential for privacy breaches and tighter compliance regulations have created unique challenges and responsibilities for many data providers. Here we discuss some of the key privacy issues surrounding data management, and how partnering
11/20/2007 3:55:00 PM