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competitive data

Results 176 - 200 of 226Sort Results By: Published Date | Title | Company Name
Published By: Cisco     Published Date: Dec 21, 2016
Enterprises are using applications to gain competitive advantage. Success in this technology-based environment requires agility and flexibility. And if IT wants to be the primary technology solution partner for the business, the IT staff needs processes and tools in place to deliver solutions at a much faster pace. As digital services propel more and more business processes, cloud technology is proving to be a crucial addition to the IT services portfolio. It is far more scalable, and in many cases more cost effective, than its predecessors. Cloud infrastructure as a service (IaaS) and softwaredefined data center technologies—virtualized computing, networking, and storage—have helped IT address the “fast IT” challenge.
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
The data center infrastructure is central to the overall IT architecture. It is where most business-critical applications are hosted and various types of services are provided to the business. Proper planning of the data center infrastructure design is critical, and performance, resiliency, and scalability need to be carefully considered. Another important aspect of the data center design is the flexibility to quickly deploy and support new services. Designing a flexible architecture that can support new applications in a short time frame can result in a significant competitive advantage. The basic data center network design is based on a proven layered approach that has been tested and improved over the past several years in some of the largest data center implementations in the world. The layered approach is the foundation of a data center design that seeks to improve scalability, performance, flexibility, resiliency, and maintenance.
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Cisco
Published By: Wyng     Published Date: Jul 13, 2015
The holiday season has become an increasingly competitive space for retailers over the past few years, with brands struggling to break through the noise to gain customer attention. Not only are brands expected to drive increased sales year over year, but they are also expected to create fun and relevant experiences for customers that ultimately drive engagement and support conversions. This fundamental shift in consumer behavior has complicated retailers’ marketing strategies, but also opens up the opportunity to more accurately target and cater to their different shoppers’ needs during the holidays. Download this ebook to learn how to increase Average Order Value, drive last minute purchases, increase sales, extend in-store shopping experiences, and make use of consumer data to inform future marketing decisions.
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offerpop, retail marketing, customer engagement, consumer data, marketing solutions
    
Wyng
Published By: Basho     Published Date: Apr 07, 2015
Did you know that the total amount of data will reach 44 zettabytes by 2020 and that 80% of that data will be unstructured data? Are you ready for all of this unstructured data? More importantly, do you know how to turn it into a competitive advantage? Learn about the challenges that come with unstructured data and how to deal with those challenges in our latest publication “Meeting the Challenges of Unstructured Data” In this Whitepaper you’ll learn: What is driving the growth in unstructured data The challenges associated with managing unstructured data How companies are capitalizing on the opportunities that unstructured data presents to save money, time, and create new market opportunities
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basho, unstructured data, competitive advantage, new market opportunities, managing unstructured data, it management
    
Basho
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, cloud computing, data center
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as ETL, ELT (also known as ETL Pushdown), data replication or data virtualization. Read this new whitepaper to learn about the seven essential elements needed to achieve the highest performance.
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IBM
Published By: VMware     Published Date: Dec 15, 2016
Organizations that invest in proprietary applications and data for competitive advantage in their industries only succeed by making those investments available to employees, customers, and partners that drive revenue and opportunity. Securing those investments requires a fresh perspective as the types of devices accessing the cloud datacenter are changing rapidly and new workloads, such as VDI desktops, are appearing more regularly alongside server workloads. These changes alter the potential attacks and potential threats to datacenters whose security primarily stands firm at the perimeter, however, within the data center the security is weak. By combining VMware NSX with the AirWatch Tunnel and/or VMware Horizon View, organizations are able to bridge the device to datacenter security gap in a way that both increases the overall security of the cloud datacenter and makes it far simpler to manage security through defining and delegating application and services to specific users. Thi
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VMware
Published By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS, Inc.
Published By: SAS     Published Date: Apr 25, 2017
But if you can’t explain how you got the answer, or what it means, it’s no good. Most self-service BI solutions can only display what has already happened, through reports or dashboards. And most have a predefined path of analysis that gives users very little creative freedom to explore new lines of thought. To maintain competitive advantage, your BI solution should allow business users to quickly and easily investigate and interrogate the data to find out why something happened – to uncover the root cause behind the “what.”
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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SAS
Published By: Cisco     Published Date: Jan 05, 2015
The data center is central to IT strategy and houses the computational power, storage resources, and applications necessary to support an enterprise business. A flexible data center infrastructure than can support and quickly deploy new applications can result in significant competitive advantage, but designing such a data center requires solid initial planning and thoughtful consideration of port density, access-layer uplink bandwidth, true server capacity, oversubscription, mobility, and other details.
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data center, consolidation, server virtualization, new applications, it management
    
Cisco
Published By: HP     Published Date: Jun 03, 2014
In this competitive whitepaper, Edison Group provides an independent, third-party perspective and evaluation of HP’s StoreOnce Backup System versus EMC Data Domain. Criteria considered included scalability (including capacity and performance), high availability, architectural approach, pricing, and licensing.
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hewlett packard, data, backup, . data protections, recovery, deduplication, enterprise applications
    
HP
Published By: Adecco     Published Date: Oct 05, 2017
To hire and retain top talent in today’s ultra competitive job market, you need accurate salary data. As the economy recovers and the unemployment rate declines, job seekers can be more selective—which often means waiting for the right salary. Although benefits, career paths, cultural fit, vacation time and work-life balance still matter, salary remains the most important factor to job seekers. In fact, two thirds of the respondents in Workforce 2020, an Oxford Economics and SAP SE study, said compensation matters most. Our Salary Guide helps you have more informed salary discussions and put together competitive compensation packages—the key to hiring and retaining the best talent.
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Adecco
Published By: eDataSource     Published Date: Apr 07, 2015
Watch this short webinar today and see for yourself how you can gain access to email competitive data, real-time inbox placement and improve your email campaign performance.
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inbox placement, email marketing, email marketing roi, real time email marketing
    
eDataSource
Published By: eDataSource     Published Date: Jan 08, 2016
The google search tool for e-mail marketing campaigns.
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inbox placement, email marketing, email marketing roi, real time email marketing, it management
    
eDataSource
Published By: CrowdTwist     Published Date: Nov 28, 2017
In today’s competitive retail environment, it’s not enough to simply meet customer expectations. Brands must exceed them with exceptional customer experiences that make customers feel heard, valued, and devoted to the brand. Brands across industries are embracing engagement-based loyalty programs because they deliver emotionally resonant experiences that go far beyond discounts. Omnichannel loyalty programs deliver rich, nuanced customer data about customers’ profiles, behaviors and needs, so that brands can deliver them more relevant experiences.
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CrowdTwist
Published By: VMware     Published Date: Feb 24, 2017
Cloud datacenter security is becoming imperative in the new age of malware attacks. To stay competitive and secure, organizations are turning to smart networking in an effort to close the datacenter security gap. The combination of VMware NSX, AirWatch Tunnel and Horizon View helps close this gap and simplifies security management for IT professionals. With the upcoming prevalence of authentication and identity management in an organization’s infrastructure, the need to delegate and define network access continues to highlight the important role of hybrid cloud security that addresses all end-user devices.
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VMware
Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: Informatica     Published Date: Jul 07, 2011
Explore how retailers can generate a single view of customers who engage across multiple channels-online, in stores, and via call centers, on social media, and mobile devices.
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informatica, competitive edge, customer information management mdm, master data management, multichannel retail environment, social media, single view, customer activity, loyalty
    
Informatica
Published By: Informatica     Published Date: Jul 07, 2011
Build your business case for MDM with an illustrated, step-by-step approach that shows executives and managers how MDM generates a single, reliable data set to empower customer- and partner- facing teams to improve sales, customer service and channel operations.
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informatica, master data management, mdm, data set, competitive advantage, channel coverage, customer view, bad data, sales performance
    
Informatica
Published By: IBM     Published Date: Jun 19, 2008
Storage infrastructure simplification is an important step a telecommunications business can take toward meeting the needs of an on-demand business environment. The IBM System Storage DS Family can support business continuity and improve information lifecycle management with competitively priced storage options. Learn how the IBM Systems Storage DS Family is an ideal partner for businesses in the telecom industry looking for secure and resilient data storage
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ibm, storage, telecom, storage management, system storage, ds family, express seller, infrastructure
    
IBM
Published By: IBM     Published Date: Jun 19, 2008
Storage infrastructure simplification is an important step an electronics business can take toward meeting the needs of an on-demand business environment. The IBM System Storage DS Family can support business continuity and improve information lifecycle management with competitively priced storage options. Learn how the IBM Systems Storage DS Family is an ideal partner for businesses in the electronics industry looking for secure and resilient data storage.
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ibm, express seller, storage management, storage, infrastructure
    
IBM
Published By: Quocirca     Published Date: Oct 05, 2007
Knowledge of the location of customers, property, products or any other asset is invaluable intelligence for improving competitive advantage and operational efficiency.  However, despite the proliferation of data that businesses generate today, the potential value of this location dimension is often overlooked in the business intelligence process.
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business intelligence, business analytics, historical data, data analysis, gis, geospacial, geographic information system, geocoding, geocode, location, quocirca
    
Quocirca
Published By: PEAK Technologies, Inc.     Published Date: Jul 05, 2007
Today's competitive, agile business demands anytime/anywhere connectivity and access to real time data. Outdated technology, security concerns and compliance requirements are forcing companies throughout industries to consider migrating to advanced wireless systems for supply chain operations.
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scm, supply chain management, mobile computing, mobile data systems, real-time data, wireless systems, supply chain productivity, supply chain compliance, supply chain technology, wireless technology, wireless technologies, peak, peak technologies, wireless
    
PEAK Technologies, Inc.
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