Data Cleansing Software White Papers

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Open Source Master Data Management - The Time is Right
sponsored by Talend
WHITE PAPER: Proper master data management (MDM) is very valuable when available to enterprise business processes and analytics. However, master data projects are often challenging, architecturally complex, time intensive and expensive. This paper explains why the time is right for open source MDM, and predicts the effects of open source on the MDM marketplace.
Posted: 16 Mar 2010 | Published: 16 Mar 2010

Talend

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

IBM Informix in hybrid workload environments (Bloor Research)
sponsored by IBM
WHITE PAPER: This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
Posted: 11 Dec 2013 | Published: 31 Aug 2012

IBM

Harness Your Data for Better, Faster Decision-Making
sponsored by Dell Software
WHITE PAPER: In this new Dell white paper, learn about the challenges of data warehouses. Then, discover a powerful data warehouse appliance that can be quickly deployed, loads data almost immediately and helps eliminate the challenges of traditional data warehouse strategies. Download this valuable white paper today.
Posted: 10 May 2013 | Published: 10 May 2013

Dell Software

3 Must-Have Capabilities for Today's Warehouse Environments
sponsored by IBM
WHITE PAPER: You need to be able to store and analyze data as quickly as it's pouring into your business -- and that's pretty fast. Unfortunately, traditional data warehousing technologies aren't often up to the task. View this informative resource to get an in-depth look at three must-have capabilities for effective modern data warehouses.
Posted: 11 Dec 2013 | Published: 31 May 2013

IBM

New Possibilities for Your Business with the World’s Fastest Database Machine
sponsored by Oracle Corporation
WHITE PAPER: Read this white paper now and learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP) and mixed workloads.
Posted: 01 Feb 2012 | Published: 01 Feb 2012

Oracle Corporation

IBM Dynamic Warehousing
sponsored by IBM Software Group
WHITE PAPER: This paper discusses key challenges facing business today driving the need for more proactive, operational business intelligence, and how an operational BI implementation impacts both traditional and business transaction enabled environments.
Posted: 20 Jun 2007 | Published: 20 Jun 2007

IBM Software Group

The fast lane to insight: Accelerating analytics from the department to the enterprise
sponsored by IBM
WHITE PAPER: This resource explores the limitations and challenges of existing data warehousing tools, and introduces a data warehouse strategy that can help you accelerate analytics and drive business success.
Posted: 28 Oct 2013 | Published: 30 Apr 2013

IBM

Increase ROI with better enterprise data warehouse performance
sponsored by Vertica Systems
WHITE PAPER: Today, Enterprise Data Warehouses (EDW) are treasure troves of information and critical for business operations. Access this resource to discover how offloading certain analytics workloads to a third-party platform can increase the performance and longevity of your EDW.
Posted: 21 Oct 2011 | Published: 21 Oct 2011

Vertica Systems

Rapid Deployment and Expansion: Business Analytics and Data Warehousing on System z
sponsored by IBM
WHITE PAPER: The following white paper addresses the challenges with expansion and how to overcome them. Discover cost-effective ways to choose from turn-key deployment and keep pace with the rapid growth of user data.
Posted: 12 Nov 2013 | Published: 12 Nov 2013

IBM