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Data Quality Assurance

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Data Quality AssuranceReports
 
Guide to growth: Identify business growth drivers and develop a plan
sponsored by Salesforce Data.com
WHITE PAPER: Growing your business depends largely on knowing your customers -- and that requires having the right data, people, and processes in place. To begin the path to sustainable business growth, check out this extensive guide for businesses of all sizes -- from startup to enterprise.
Posted: 17 Apr 2014 | Published: 17 Apr 2014

Salesforce Data.com

MDM and Data Quality for the Data Warehouse
sponsored by Informatica
WHITE PAPER: This executive brief explains how the combination of master data management (MDM) and data quality (DQ) can significantly enhance the accuracy and reliability of data, enabling timely, confident decisions and accurate reporting.
Posted: 26 Mar 2014 | Published: 31 Dec 2013

Informatica

Case Study: Standard Register Achieves a Sales Facelift
sponsored by Salesforce Data.com
CASE STUDY: Standard Register's transition to a new set of digital products and services required the company to rapidly identify new buyers, deploy a more consistent sales process, and create a true 360-degree view of the customer.
Posted: 18 Apr 2014 | Published: 31 Oct 2013

Salesforce Data.com

Data Drives Profit: But IT Exec-Staff Disconnect Threatens the Bottom Line
sponsored by Informatica
WHITE PAPER: Designed to inform IT execs and professionals, "Research: Data Drives Profit" provides insights and solutions that'll help you, your team, and your internal partners define and implement an effective data strategy.
Posted: 08 Jul 2014 | Published: 08 Jul 2014

Informatica

Metropolitan Corporate Counsel: Defensible Disposal of Data – IBM Solution Eliminates 'Corporate Junk'
sponsored by IBM
NEWSLETTER: This brief resource explores the implications and burdens of eDiscovery and the implementation of information governance to get rid of the junk and improve your company's bottom line. Read on to learn more.
Posted: 29 Jul 2013 | Published: 30 Apr 2013

IBM

Productionizing Hadoop: Seven Architectural Best Practices
sponsored by Cisco Systems, Inc.
WEBCAST: Check out this informative resource to learn what you should consider when choosing architecture for your big data project. Discover the seven top architectural qualities of big data production platforms, and one delivery platform that automates big data workflow for more efficient, effective processing.
Posted: 28 Aug 2013 | Premiered: Aug 28, 2013

Cisco Systems, Inc.

Oracle Data Integrator 12c New Features Overview
sponsored by Oracle Corporation
WHITE PAPER: In this rapid, explosive age of big data, smart data integration solutions are truly key in modern businesses. This white paper offers a wealth of information about a best-of-breed data integration platform focused on fast bulk data movement and handling complex data transformations.
Posted: 14 Nov 2013 | Published: 31 Oct 2013

Oracle Corporation

White Paper: SuperCluster M6-32: Taking Oracle Engineered Systems to the Next Level
sponsored by Oracle Corporation
WHITE PAPER: This guide explores the Oracle SuperCluster M6-32, which offers extremely large memory capacities and improves performance levels for your business.
Posted: 07 Feb 2014 | Published: 31 Dec 2013

Oracle Corporation

Data Quality Process Needs All Hands on Deck
sponsored by Harte-Hanks Trillium Software
WHITE PAPER: Access the following expert e-guide to uncover the best practices and procedures for developing and implementing a successful data quality strategy.
Posted: 30 Dec 2013 | Published: 26 Dec 2013

Harte-Hanks Trillium Software

How Calvin Klein got fashionable with SAP
sponsored by Every Angle
CASE STUDY: Calvin Klein, one of the world's leading fashion brands, had to transfer all of their transactional and master data from a non-SAP system to the SAP platform, without losing any information or compromising data and process quality. To do this, Calvin Klein leveraged an out-of-the-box SAP add-on for data migration.
Posted: 04 Apr 2014 | Published: 04 Apr 2014

Every Angle
 
 
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