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Data Content Quality

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Data Content Quality Reports
 
MDM: The key to optimised, profitable management of your data?
sponsored by Hewlett-Packard Limited
EGUIDE: In the era of big data, your data quality can literally make or break your entire big data analytics initiative. So when it comes down to it, how can you ensure the highest quality of data without running up expenses? Consult the following expert e-guide to learn how MDM can offer a solution to not only handle data, but profit off of it.
Posted: 25 Aug 2014 | Published: 25 Aug 2014

Hewlett-Packard Limited

The Pros and Cons of Document Management Software
sponsored by IT Central Station
ESSENTIAL GUIDE: With multiple Document Management Software products to choose from, how can you decide which is best suited to fit your organization's needs? This expert guide can help. From Alfresco to Laserfiche, find out what enterprise technology pros think about the industry's leading vendors and products with this premium guide from IT Central Station.
Posted: 09 Dec 2014 | Published: 09 Dec 2014


CW500: Back to the Future: Big Data at Channel 4
sponsored by ComputerWeekly.com
PRESENTATION: Bob Harris, Chief Technology Officer of Channel 4 Television, explains the broadcaster's approach to big data in this presentation for Computer Weekly's 500 Club.
Posted: 03 Jun 2013 | Published: 03 Jun 2013

ComputerWeekly.com

Information governance Frameworks: The evolving models and the tried and true
sponsored by SearchCIO.com
VIRTUAL ENVIRONMENT: Modern organizations generate more data than ever, forcing them to reexamine governance strategy. This sounds daunting, but does not require reinventing the wheel: In this interactive classroom, learn to adapt proven information governance techniques to the digital age.
Posted: 14 May 2014 | Premiered: 15 May 2014

SearchCIO.com

Business Information E-Zine: NoSQL Makes its Mark
sponsored by SearchBusinessAnalytics
EZINE: In this issue, we drill down on the facts of NoSQL databases, tapping into the experiences of savvy startups and other companies whose needs led them to NoSQL technologies. But is NoSQL right for you? Companies with fast-growing vaults of Web, social media, demographic and machine data should pay attention. IT experts chime in with timely advice.
Posted: 04 Apr 2014 | Published: 04 Apr 2014

SearchBusinessAnalytics

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

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

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

IBM Cognos Framework Manager - Ensure consistent business intelligence data across the enterprise
sponsored by IBM
WHITE PAPER: This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.
Posted: 15 Jan 2014 | Published: 31 Oct 2010

IBM

Gabriel on Big Data Without the Big Bang with Linux on IBM Power Systems
sponsored by IBM.
WHITE PAPER: In this resource, explore how to get started with a big data analytics program, and discover best practices for extracting the most value from your data without incredibly high costs or complexities.
Posted: 21 May 2013 | Published: 31 Dec 2012

IBM.
 
 
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