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Datacollection White Papers (View All Report Types)
 
Digital Innovations and Changing Demographics are Redefining Government by the People, for the People
sponsored by HPE and Intel®
WHITE PAPER: Access this paper to learn about communicating with the different generations of people and how you'll have to handle your data. Learn how to find the right mix of traditional IT, cloud, security and mobility to provide the greatest service possible.
Posted: 07 Mar 2017 | Published: 30 Dec 2016

HPE and Intel®

The Information Agenda: Rapidly Leveraging Information as a Trusted Strategic Asset for Competitive Advantage
sponsored by IBM India Pvt. Ltd
WHITE PAPER: This paper will discuss how organizations using an Information Agenda can greatly improve their organizations' ability to identify and manage risk, meet regulatory requirements, speed new products and services to market and enhance customer service.
Posted: 13 Dec 2010 | Published: 13 Dec 2010

IBM India Pvt. Ltd

Winning the Big Data Battle With Hadoop
sponsored by IBM
WHITE PAPER: In this white paper, learn more about what separates Hadoop from its competitors in the big data analytics market. Discover more about unique features like the ability to integrate diverse types of data, high scalability, and data warehouses built to be more cost-effective. Plus, learn about an integrated software specifically designed for Hadoop.
Posted: 17 Nov 2016 | Published: 17 Nov 2016

IBM

Social Login 101
sponsored by Gigya
WHITE PAPER: View this white paper to learn why social login -- with permission-based access to first-party identity data -- is the better option for getting the kind of information that creates relevant cross-channel experiences. Read now to explore the basics of social login, best practices, and benefits for consumers and businesses.
Posted: 27 Jun 2014 | Published: 27 Jun 2014

Gigya

5 Questions Every Finance Department Should Be Able to Answer
sponsored by Salesforce.com
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 finance 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

Salesforce.com

EZ Insight Report: IBM Rational Jazz Strategy for Collaborative Application Lifecycle Management (Full report)
sponsored by IBM
WHITE PAPER: Analyst report which includes new or expanded discussion of Open Services for Lifecycle Collaboration, Rational Requirements Manager, Quality Manager, Insight, and IBM Software Delivery Services for Cloud and Rational Asset Manager.
Posted: 13 Mar 2009 | Published: 13 Mar 2009

IBM

Oracle: Big Data for the Enterprise
sponsored by Oracle Corporation
WHITE PAPER: Oracle offers the broadest and most integrated portfolio of products to help you acquire and organize these diverse data types and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Read this white paper to learn more.
Posted: 26 Mar 2012 | Published: 31 Dec 2011

Oracle Corporation

Who's Afraid of the Big (Data) Bad Wolf?
sponsored by IBM
WHITE PAPER: By automating information integration and governance and deploying it at the point of data creation, organizations can boost big data confidence. Access this whitepaper now to discover the importance of data integration, and how your business will benefit from such a methodology.
Posted: 26 Oct 2015 | Published: 26 Oct 2015

IBM

Intelligent Data Management for File System Data
sponsored by Rocket Arkivio
WHITE PAPER: ARKIVIO auto-stor integrates the three key components for Intelligent Data Management – agentless data collection, data classification, and data management – into one product. This white paper describes the technical architecture and functionality of the ARKIVIO auto-stor solution.
Posted: 03 Aug 2010 | Published: 03 Aug 2010

Rocket Arkivio

Introducing Notebooks: A Powerful Tool for Data Scientists
sponsored by IBM
WHITE PAPER: An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.
Posted: 15 Aug 2016 | Published: 15 Aug 2016

IBM
 
 
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