Data Quality Assurance White Papers

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InfoSphere Data Explorer - Vivisimo, an IBM Company
sponsored by IBM
WHITE PAPER: To extract the most value from data, you need to sort through structured and unstructured data from a variety of sources - and that isn't easy. In this resource, discover how a data exploration tool enables you to improve access to information across your enterprise, and easily visualize and integrate big data for more efficient analytics.
Posted: 29 Jul 2013 | Published: 12 Oct 2012

IBM

One Click Away: Where Does the Data Come From?
sponsored by LANSA
WHITE PAPER: Thirty-five percent of consumers say they would never use a mobile app again if it contained incorrect product data. This brief resource explores how the global standards body GS1 established the Global Data Synchronization Network (GDSN) as a means of combatting outdated, inconsistent product information.
Posted: 20 Feb 2014 | Published: 20 Feb 2014

LANSA

Advanced Case Management for Smarter Energy and Utilities
sponsored by IBM
WHITE PAPER: Read this paper to gain an approach to unifying utility company's information, processes and people to gain a 360-degree view of contracts, work orders and so much more, effectively enabling employees to make better-informed decisions which then reduce costs and elevate efficiency. Learn how case management can make your business smarter.
Posted: 11 May 2012 | Published: 23 Oct 2010

IBM

Big Data Integration and Governance Considerations for Healthcare
sponsored by IBM
WHITE PAPER: Healthcare organizations have not been immune to the impact of big data – but what do these growing data volumes mean for information governance? This resource explores big data integration and governance from the standpoint of three case studies.
Posted: 19 Dec 2013 | Published: 19 Dec 2013

IBM

Business Oriented Information Architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.
Posted: 17 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

Extreme Warehouse Speed for Fast Business Decisions
sponsored by IBM
WHITE PAPER: This e-book explores how forward-looking organizations like yours are using extremely rapid, highly effective analysis of data to change the way they make decisions – enabling them to predict shifts in business and proactively adjust for better business outcomes.
Posted: 03 Sep 2013 | Published: 31 Dec 2012

IBM

Dealing with More and More Data: Challenges for the Utility CIO
sponsored by IBM
WHITE PAPER: This document provides utilities with an understanding of specific challenges faced by CIOs and provides information technology (IT) decision makers with a view to the use of time series databases in getting to scale.
Posted: 29 Aug 2013 | Published: 31 Mar 2012

IBM

Increasing the efficiency of case file coordination in social services
sponsored by IBM
WHITE PAPER: Social service agencies are experiencing challenges with manual processes. Advanced case management strategies are being implemented to streamline these processes and foster greater insight, collaboration and decision-making capabilities. This white paper explains how one such solution allows you automate these processes to elevate processing.
Posted: 16 May 2012 | Published: 15 Jun 2011

IBM

Grow Forward With Faster, Simpler, and Flexible ERP
sponsored by Sage Software
WHITE PAPER: Discover how one ERP system can help you reduce operating costs and boost sales.
Posted: 02 Jun 2014 | Published: 02 Jun 2014

Sage Software

Outperforming in a data-rich, hyper-connected world
sponsored by IBM
WHITE PAPER: This paper outlines the results of a survey conducted amongst more than 1,100 executives across nine industries in 64 countries on their ability to capture data, share insights and take actions based on what they learn. Read this now to discover how other companies are harnessing and handling their data and learn how you can follow a similar path.
Posted: 09 Aug 2012 | Published: 08 Aug 2012

IBM