Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose.
Server virtualization is revolutionizing the datacenter by making applications mobile, increasing application uptime, and allowing IT admins to allocate computing resources more efficiently. The technology has been deployed widely enough that the role of the computer server has evolved from directly hosting operating systems and applications to hosting fully virtualized environments. Server that can support more virtualized machines (VMs - complete application stacks) allow their users to gain higher return on their IT investments. Private Cloud can extend the virtualization benefits in ways that broaden the benefits of virtualization to all parts of the organization. In this white paper, you will learn how Corporate IT uses these tools to meet the increasing demand for IT services.
By now, much has been written about the advantages server virtualization brings to an enterprise. In the June 2013 survey, 63% of all companies and 100% of large enterprises reported having a server virtualization program. However, when you
segment the virtualization rates, you find a trend that indicates that large enterprises in particular are not gaining all of the advantages that server virtualization has to offer.
What is more difficult and remains a challenge, particularly for large enterprises, is virtualizing Tier 1 applications. These are large, mission-critical enterprise applications such as email, customer relationship management (CRM), or enterprise resource planning (ERP). These applications tend to be very large,
consume the entire capacity of a current generation server, and require high application uptimes. As shown in Figure 1, the virtualization rates for these applications are far lower than Tier 2 apps. In this eBook, you’ll learn how the NEC enterprise server provides a platform that now gives customers the right platform to virtualize their Tier 1 apps.
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
While collecting marketing data is easy, that data is not cast in stone. Securing a marketing data management plan that you can rely on is imperative. This guide provides actionable steps to clean up your data and increase conversions.
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
How clean & actionable your B2B marketing database is today? Analyze your data with this free, secure cloud based assessment of your email deliverability, phone connectability, record completeness, duplication, target profile breakdown and more.
Learn the best practices for implementing contact verification at point-of-sale in order to create a seamless experience across store fronts and digital channels while also providing retailers a way to foster customer relationships and pull those consumers back into the store.
Learn how email verification technology helped to minimize Magento's hard bounces at point-of-sale by allowing data to be cleansed and verified in real time, which increased their email deliverability rates by 25%.
Learn about FlexPod Select with Hadoop and how this enterprise class Hadoop has validated, pre-configured components that allow for faster deployment, higher reliability, and smoother integration with your existing applications and infrastructure.
Learn how to maximize the business value of your data by having a storage infrastructure that will easily address long-term retention policies, finds and retrieves content quickly from long-term repositories, and uses object storage efficiently.
Download this solutions guide to get a technical overview on building Hadoop on NetApp E-series storage and learn how it will effectively help deliver big analytics with pre-engineered, compatible, and supported solutions ultimately reducing the cost, schedule, and risk of do-it-yourself systems.