qualitative data

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By: EMC Corporation     Published Date: Jun 14, 2011
Qualitative and quantitative research among AP professionals to gain insights into trends in automated data capture in invoice processing.
Tags : emc, accounts payable, automation, paper process, transaction costs, error rates, invoice, centralized, outsourcing, cloud computing, capital budget, costs
     EMC Corporation
By: Schneider Electric     Published Date: Jun 04, 2014
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing, however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash cross-over point, deployment timeframe, data center life expectancy, regulatory requirements, and other strategic factors. This paper discusses how to assess these key factors to help make a sound decision.
Tags : schneider, electric, data, infrastructure, upgrade, retail, outsource, own, data management, business technology, data center
     Schneider Electric
By: SAS     Published Date: Apr 13, 2011
Learn how organizations are using data mining to solve their problems, including a $1 billion decision that produced positive results.
Tags : data mining, qualitative data, quantitative data, john f. elder, data quality, sas, bottom-line
     SAS
By: SAS     Published Date: Apr 13, 2011
This paper will outline the value and methods involved in data mining across both quantitative and qualitative data. In addition, it will describe the data transformations necessary before doing such work, and the tools that are particularly valuable for mining mixed data types.
Tags : business intelligence, michael lock, predictive analytics, business insight, business visibility, small to medium sized business
     SAS
By: Radius Intelligence     Published Date: Jun 15, 2015
Market expansions are a viable strategy when a company’s growth in an existing market has stalled. However, marketers often rely on intuition and qualitative data to inform decisions around market fit and size. In this whitepaper, marketing technology expert, David Raab, explores how the shift in data and predictive solutions streamlines the market expansion process. The paper will reveal 4 keys to a successful market expansion, common mistakes to avoid, and show marketers how to win customers in new market segments.
Tags : predictive marketing, predictive analytics, b2b marketing, predictive b2b marketing, predictive technology, b2b marketing technology, customer insights, customer acquisition, segmentation, targeting, real-time analytics, total addressable market, multi-channel optimization, pipeline prioritization, predictive scoring, lead prediction, account targeting, predictive intelligence, marketing intelligence
     Radius Intelligence
By: HP and Intel ®     Published Date: May 02, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtualization technologies, the expected and realized benefits, ensuing infrastructure decisions, future outlook of the data center, and best practices for deployment.
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     HP and Intel ®
By: HP and Intel ®     Published Date: May 06, 2013
This paper summarizes and evaluates the prevalence and efficacy of data center virtualization deployments, as well as the hardware that supports them. The conclusions drawn from this report are based on analysis of both quantitative market research and two qualitative interviews with a CIO and CTO in healthcare and finance, respectively. Each customer, referred to ESG by Hewlett-Packard (HP), had extensive experience deploying both server and desktop virtualization. The goal of the study was to determine the IT and business drivers to adoption of virtual technologies, the expected and realized benefits, ensuing infrastructure decisions,future outlook of the data center, and best practices for deployment.
Tags : data center, virtualization, data center management, automation, agile, storage, van, virtual application network, infrastructure, desktop virtualization
     HP and Intel ®
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