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Data Content Quality

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Data Content Quality White Papers (View All Report Types)
How to succeed in the New Age of Data Quality.
sponsored by Trillium Software
WHITE PAPER: Businesses need accurate, easy-to-access customer data to make important business decisions. But enterprise data is not always reliable. Discover how a data quality program can ensure accuracy for more effective business decisions.
Posted: 03 Aug 2016 | Published: 28 Apr 2016

Trillium Software

Information Management and MDM: Getting the Most from Clinical Data
sponsored by Information Builders
WHITE PAPER: This white paper examines the obstacles healthcare payers experience when planning and implementing a strategy for collecting, managing, and exchanging clinical data for value-based care. Discover how to unlock truly actionable data with an integrated approach to information management, data quality, master data management, and more.
Posted: 29 Aug 2016 | Published: 29 Aug 2016

Information Builders

Common Pitfalls of Data Lakes
sponsored by Cambridge Semantics
WHITE PAPER: In this white paper you will uncover 3 of the most common pitfalls of data lakes and learn how your business can avoid them. Download now to learn more.
Posted: 09 Feb 2016 | Published: 09 Feb 2016

Cambridge Semantics

Cloud-based IT-as-a-Service: Providers, SLAs, and More
sponsored by Catchpoint Systems Inc.
WHITE PAPER: This white paper explores ITaaS providers, SLAs and more. Examine the keys to an ITaaS business, what reporting and analysis in the cloud can do to your business performance and revenue, and 5 reasons your SaaS business should monitor behind the firewall.
Posted: 08 Aug 2016 | Published: 08 Aug 2016

Catchpoint Systems Inc.

5 Questions Every IT Department Should Be Able to Answer
sponsored by
WHITE PAPER: Key decision makers are on the hunt to uncover patterns that illuminate unforeseen trends once buried in your data.Here are the top 5 questions your IT professionals should be asking — and ways to get the answers. Access now to ensure you're getting the most out of your data.
Posted: 19 Nov 2015 | Published: 19 Nov 2015

Self-Service Data Preparation: Vendors, Trends, and Updates
sponsored by Trillium Software
WHITE PAPER: Learn about the current state of the self-service data preparation and cataloguing market to help you find the best platform to suit your needs. Get an in-depth look at 20 vendors—including SAP, SAS, Trillium, and more—as well as an overview of key market trends.
Posted: 02 Aug 2016 | Published: 29 Apr 2016

Trillium Software

Understanding Insurance Industry Data Warehousing Challenges
sponsored by IBM
WHITE PAPER: Learn how enhancements in the areas of life insurance and workers' compensation help companies address economic and technological challenges. Plus, discover how to build an effective data warehouse that provides a flexible, scalable solution which enables the consolidation and integration of data.
Posted: 30 Jun 2016 | Published: 30 Nov 2014


Simple, Powerful, Integrated Data Prep and Movement in the Cloud
sponsored by IBM
WHITE PAPER: Unburden your IT department by updating your cloud services and enabling both technical and non-technical business users to derive useful insights from data. Discover how you can ensure data quality with simple data preparation and movement services in the cloud.
Posted: 30 Jun 2016 | Published: 31 Dec 2015


Improve data quality: The power of crowdsourcing
sponsored by CrowdFlower, Inc.
WHITE PAPER: This resource examines how improving data quality leads to marketing and selling success, and introduces a crowdsourcing strategy that can help you get there.
Posted: 11 Sep 2013 | Published: 12 Jun 2013

CrowdFlower, Inc.

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

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