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Data Management

Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
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By: Quocirca     Published Date: Apr 23, 2007
Information management, which includes both data and content management, is an essential building block for Service-Oriented Architecture (SOA).  By taking a service oriented approach to information, you can achieve much greater value from your information assets.
Tags : information management, service oriented architecture, service-oriented architecture, soa, data management, mdm, master data management, content management
     Quocirca
By: Xiotech     Published Date: Apr 13, 2007
Disruption to your production environment is costly, and any loss of information can be disastrous. Consequences may include loss of revenue and company reputation, lower shareholder confidence, potential exposure to business continuity risk, or sanctions and fines for noncompliance with regulatory requirements. Organizations need an effective and reliable way to safeguard corporate information in the wake of an unforeseen downtime event.
Tags : data protection, data recovery, information management, regulatory compliance, compliance, storage compliance, high availability, storage
     Xiotech
By: Siperian     Published Date: Mar 29, 2007
Master Data Management (MDM) has made the CIO's technology short-list.  This paper addresses issues related to data governance, the business master, building on proven success, and ROI.  
Tags : mdm, master data management, it management, return on investment, roi, rdi, reference data management, governance
     Siperian
By: ProStor Systems     Published Date: Mar 15, 2007
The need for protecting data is universal – whether a small to mid-size business, the largest enterprise data center, or an individual. The recognition of the value of information and the impact of data loss has reached the point where repeating it is no longer required. The issue now has turned to how to protect the data.
Tags : smb, archiving, backup, hardware, security, data management, database security, data protection
     ProStor Systems
By: C2C Systems, Inc.     Published Date: Mar 15, 2007
This paper provides information which will help you to plan a solution for your mailbox size. Planning Modification to any email system takes just four easy steps.
Tags : email security, email archiving, data management, c2c, mailbox, email, personal email, enterprise email
     C2C Systems, Inc.
By: C2C Systems, Inc.     Published Date: Mar 15, 2007
As the need to retain corporate data has increased to meet regulatory requirements-- and best practice may dictate email meeting certain internal policies-- the very existence of PSTs is putting email more and more "at risk. So what can you do about PSTs?
Tags : im and email archiving, im archive, email archive, email security, data management, enterprise email, personal email, email archiving
     C2C Systems, Inc.
By: Breece Hill, LLC     Published Date: Mar 15, 2007
Once a business clears the financial hurdle and begins to plan their data protection strategy the choices can appear daunting. Do they select tape or disk? Apply differential or incremental backups? How much will a new system cost and how much time will it take to implement? What data should be included in the backup? This article attempts to address these concerns.
Tags : smb, storage, archiving, backup, hardware, small business networks, storage, backup and recovery
     Breece Hill, LLC
By: Quocirca     Published Date: Mar 06, 2007
Quocirca conducted two surveys separated by 12 months that looked at the data management infrastructure of UK and Irish businesses and how this was linked to their ability to respond to the whims of the regulators. In the year between the two surveys a lot had changed.
Tags : information management, data management, storage, compliance, regulatory compliance, knowledge management, information lifecycle, information lifecycle managment
     Quocirca
By: Xiotech     Published Date: Mar 01, 2007
Many organizations have no policies in place for retaining, managing, and purging documents. This paper looks at some of the basic components of a document strategy—retention, management, and destruction—and highlights some of the current compliance drivers that make it all necessary.
Tags : archive management, email archiving, email archive, data warehousing, compliance, data retention, xiotech, data management
     Xiotech
By: BusinessObjects     Published Date: Jan 30, 2007
Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
Tags : performance management, data quality, msrs, microsoft reporting services, cognos 8, cognos, powerplay, cognos reportnet
     BusinessObjects
By: Siperian     Published Date: Jan 24, 2007
Master Data Management is a cohesive strategy for managing all master data domains.  Where is your organization most likely to derive business value from a Master Data Management solutions?  This report answers these questions and details the path forward:  Adaptive Master Data Management.
Tags : data management, master data management, mdm, business intelligence, data integration, data quality, siperian
     Siperian
By: Siperian     Published Date: Jan 24, 2007
This comprehensive report addresses industry-specific issues for the Financial Services sector, Insurance, Pharmaceutical companies, Retailers, Manufacturing, and High-Tech.
Tags : master data management, data management, financial, return on investment, roi, it spending, data integration, mdm
     Siperian
By: IBM     Published Date: Dec 12, 2006
This white paper outlines the components of the Banking Data Warehouse (BDW) and how they assist financial institutions in addressing the data modeling and data consolidation issues relating to the SOX regulations.
Tags : data warehousing, database warehousing, data consolidation, sarbanes oxley compliance, sox, compliance, banking, bdw
     IBM
By: IBM     Published Date: Dec 12, 2006
This white paper will define different vendor approaches to developing business services and the relative cost implications of each approach for the customer. 
Tags : service oriented architecture, soa, customer data integration, cdi, best practices, data integration, service-oriented architecture, customer interaction service
     IBM
By: IBM     Published Date: Dec 12, 2006
The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
Tags : business process automation, data integration, data quality, information management, customer service, data management, enterprise software, contact management
     IBM
By: IBM     Published Date: Dec 12, 2006
This paper gives the reader an overview of the functionality of IBM's WebSphere Customer Center, and explains why IBM is the strategic partner that more Fortune 500 companies select as their strategic platform for Customer Data Integration.
Tags : cdi, customer data integration, data management, data integration, customer service, customer interaction service, websphere, name matching
     IBM
By: IBM     Published Date: Dec 12, 2006
This white paper will outline the components of the Banking Data Warehouse (BDW) and how they assist financial institutions to address the data modeling and data consolidation issues relating to the Basel II Capital Accord. 
Tags : data warehousing, bdw, banking data warehousing, compliance, risk management, basel ii, ibm, security
     IBM
By: Lombardi Software     Published Date: Dec 07, 2006
In this paper, we will discuss the benefits of BPM and SOA in more detail and show how leading companies have recognized that implementing BPM and SOA together gives them unique capabilities.
Tags : bpm, soa, business process management, service oriented architecture, service-oriented architecture, lombardi, lombardi software, it management
     Lombardi Software
By: Clarabridge     Published Date: Dec 06, 2006
This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
Tags : business intelligence, data warehousing, data mining, content integration, content management system, cms, business analytics, content mining
     Clarabridge
By: Neterion     Published Date: Dec 05, 2006
As the demand for bandwidth grows, so does the reach of networks. Users need to access data globally, from multiple locations around the world, quickly and transparently without breaking budgets. Data centers locked into servicing only local users unnecessarily constrain growth and expansion.
Tags : storage area network, gigabit, iscsi, datacenter, datacenters, sans, san, storage area networks
     Neterion
By: Winshuttle     Published Date: Dec 04, 2006
This paper describes some of the best practices that many companies have adopted and are able to make mass changes to SAP data in record time with minimal resources.
Tags : sap, data management, best practices, sap data, data change, winshuttle, platforms
     Winshuttle
By: Winshuttle     Published Date: Dec 04, 2006
This white paper describes how many companies are realizing significant productivity gains by empowering the business users with tools to transfer their own data between spreadsheets and SAP.
Tags : sap, spreadsheet, spreadsheets, excel, productivity, finance, accounting, erp
     Winshuttle
By: Winshuttle     Published Date: Dec 04, 2006
This paper describes 7 best practices that many companies have adopted in automating the upload of Excel data into SAP. Adopting these best practices will alleviate many of the pains that business users and IT analysts face in uploading Excel data to SAP.
Tags : excel, sap, spreadsheet, spreadsheets, best practice, best practices, sap data, data entry
     Winshuttle
By: TriTuns Innovation     Published Date: Nov 14, 2006
This paper examines the nature, cause and impact of data quality problems in typical IT system implementations.  It argues that the extent and impact of poor data quality is largely misunderstood and often ignored.
Tags : data quality, data protection, data improvement, improve data, trituns, trituns innovation, data management
     TriTuns Innovation
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