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Documents related to » data integrator


SSA: Evolving into systems integrator to survive
SSA's Portfolio strategy is to surround its core ERP products with best-of-breed 3rd party enterprise applications and provide system integration services and support around it. SSA will gradually transform itself into a systems integration provider, as opposed to a pure ERP vendor, within the next 3 years. By that time, we believe service & support revenue will contribute up to 80% of SSA's total revenues.

DATA INTEGRATOR: SSA: Evolving into systems integrator to survive SSA: Evolving into systems integrator to survive P.J. Jakovljevic - October 1, 1999 Read Comments Vendor Summary System Software Associates, Inc. (SSA) is a leading global ERP software and services provider. Founded in 1981 with headquarters in Chicago, IL, USA, SSA is the seventh-ranked ERP vendor with $421 million in revenue in 1998 (approx. 2.6% of the global ERP market). SSA initially grew by offering products for IBM s AS/400 minicomputers. The Company
10/1/1999

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.

DATA INTEGRATOR: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: 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.
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.

DATA INTEGRATOR: 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

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 INTEGRATOR: 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

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 proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

DATA INTEGRATOR: Microsoft says OLE for Data Mining: Is it Bull? Microsoft says OLE for Data Mining: Is it Bull? M. Reed - March 28, 2000 Read Comments 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
3/28/2000

Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

DATA INTEGRATOR: Protecting Critical Data Protecting Critical Data Source: Stonefly Document Type: White Paper Description: The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Protecting Critical Data style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Warehousing,   Database
10/19/2011 6:48:00 PM

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

DATA INTEGRATOR: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other
6/19/2009

A CRM System Needs A Data Strategy
A customer relationship management (CRM) system is inherently valuable for supporting customer acquisition and retention by gathering data from each contact with customers and prospects. Collecting data, however, cannot be isolated from a strategy for actually using that data. Here is an overview of how to evolve the focus of a data strategy to specifically suit both the acquisition and retention phases.

DATA INTEGRATOR: CRM System Needs A Data Strategy A CRM System Needs A Data Strategy David McNamara - July 3, 2003 Read Comments Introduction An underutilized customer relationship management (CRM) system - or one that cannot match its owner s expectations - will reflect poorly on both the vendor who sold it and the IT manager who authorized the purchase and installed it. Both, however, can help successfully manage such expectations (and add value to their respective roles) by wisely counseling about the strategic
7/3/2003

Addressing the Complexities of Remote Data Protection
Expert solutions for adressing the complexities of remote data protection in your enterprise.Experience data recovery solutions. Free white paper! As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer extensive data protection and recovery solutions for remote offices.

DATA INTEGRATOR: the Complexities of Remote Data Protection Addressing the Complexities of Remote Data Protection Source: IBM Document Type: White Paper Description: As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and recovery requirements in order to support a wide range of applications, and to protect against a wide range of risk factors. Discover solutions that help organizations protect remote data and offer
4/23/2010 1:16:00 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.

DATA INTEGRATOR: Creating a Winning Data Transmission Service Creating a Winning Data Transmission Service Source: Sterling Commerce, an AT&T company Document Type: White Paper Description: 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
11/3/2008 1:06:00 PM

Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

DATA INTEGRATOR: Data Center Projects: System Planning Data Center Projects: System Planning Source: APC by Schneider Electric Document Type: White Paper Description: System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively
12/10/2008 9:35:00 AM


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