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Data Quality Assurance White Papers (View All Report Types)
 
Modern Data Management Paves the Path to Digital Transformation
sponsored by Veeam Software
WHITE PAPER: This paper reveals a backup approach that not only gives your organization the flexibility to deploy and protect apps across physical, virtual, and cloud platforms; it also provides analytics and DevOps workloads with the real-time data access they demand. To take advantage of this approach, read on.
Posted: 01 May 2019 | Published: 01 May 2019

Veeam Software

Data Monetization – Use Cases, Implementation and Added Value
sponsored by Tableau Software
WHITE PAPER: Some of the world's biggest and most successful leading companies are currently driving huge portions profit from user data. This survey-based study by BARC offers insights into how a selection of companies are approaching data monetization. Keep reading for a more complete list of topics and a detailed discussion of results.
Posted: 30 Apr 2019 | Published: 31 Dec 2018

Tableau Software

Cloud DR Simplifies Hybrid IT Data Recovery
sponsored by Dell EMC
WHITE PAPER: Recognizing the complexities associated with heterogeneous hybrid environments, this custom, TechTarget-produced white paper explains how cloud disaster recovery (DR) offers a cohesive data protection and recovery approach. Read on for the concrete benefits of cloud DR.
Posted: 24 May 2019 | Published: 24 May 2019

Dell EMC

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

Wrangling big data: Fundamentals of data lifecycle management
sponsored by IBM
WHITE PAPER: Successfully managing big data requires more than just analytics -- you need to reduce the cost of managing data while also lowering the risk involved in organizing and protecting it. This resource offers an in-depth exploration of three key objectives to help you efficiently manage data throughout the lifecycle.
Posted: 13 Dec 2013 | Published: 31 Mar 2013

IBM

A smarter approach to CRM: An IBM perspective
sponsored by IBM
WHITE PAPER: With instant access to information, customers expect a purchase experience that matches the ease and speed of the information-gathering experience. Read this white paper, created in collaboration with Frost & Sullivan, to see how a customer relationship management (CRM) solution can help you respond on the customers' terms.
Posted: 05 Jul 2012 | Published: 15 Feb 2012

IBM

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

Build Smart Metering Solutions with IBM Informix TimeSeries
sponsored by IBM
WHITE PAPER: To realize the full potential of smart meters, utility companies and their partners need a data management solution designed to reduce data load times, decrease storage capacity needs, and improve query performance for time series data.
Posted: 27 Aug 2013 | Published: 31 Dec 2011

IBM

Omnichannel Considerations for the Purchase Order Process
sponsored by OpenText GXS
WHITE PAPER: Find out how adopting an omnichannel experience can improve the purchase order process, and benefit both the customers and the business.
Posted: 16 Jun 2014 | Published: 30 Sep 2012

OpenText GXS

Apache Hadoop Patterns of Use
sponsored by Hortonworks
WHITE PAPER: When it comes to Hadoop, the technology most often associated with big data, why is it so popular? Does it actually live up to the vendor hype? Check out this informative resource to get the real guidance you need to figure out where Hadoop fits into your organization, and how you can leverage it to extract the most from your big data.
Posted: 17 Jul 2013 | Published: 30 Apr 2013

Hortonworks
 

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