data driven

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By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
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     Cisco
By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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     Cisco
By: Cisco     Published Date: Jul 11, 2016
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they cannot be achieved with a fragmented, siloed technology infrastructure. Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact. This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
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     Cisco
By: Cisco     Published Date: Jul 11, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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     Cisco
By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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     Cisco
By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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     Cisco EMEA
By: Citrix Systems     Published Date: Nov 23, 2015
Learn how NetScaler delivers data-driven networking by reading the Network World QuickPulse report, "Gaining 20-20 Insight into Network and Application Performance"
Tags : citrix, networks, applications, performance, netscaler, networking, storage, data management, data center
     Citrix Systems
By: Commvault     Published Date: Jul 06, 2016
Enterprises today increasingly turn to array-based snapshots and replication to augment or replace legacy data protection solutions that have been overwhelmed by data growth. The challenge is that native array snapshot tools – and alternative 3rd party solutions – have varying degrees of functionality, automation, scripting requirements, hardware support and application awareness. These approaches can add risk as well as administrative complexity and make it more difficult to realize the full potential of snapshots – whether in single disk vendor estates or in heterogeneous storage environments. This checklist will enable you to build a shortlist of the 'must have' features needed for snapshots to deliver exactly what you require in your application environment or Private Cloud.
Tags : commvault, snapshot management, replication, array based snapshots, data protection solutions, gui driven, intellisnap, no scripting, increase rpos, networking, security, enterprise applications, storage, data management
     Commvault
By: Dassault Systemes SolidWorks Corp.     Published Date: Mar 27, 2018
The Internet of Things (IoT) has paved the way for a number of innovations that rely on connectivity between devices and the internet. Now, this interconnectivity is impacting the beer brewing process, providing brewers with a consistent, reliable, data-driven experience — and serving customers with a tasty, better brew. This article discusses how the IoT and smart, connected brewing appliances are redefining the industry landscape one beer at a time.
Tags : beer, brewing, internet, things, iot, optimization
     Dassault Systemes SolidWorks Corp.
By: Data Direct Networks     Published Date: Dec 31, 2015
Parallelism and direct memory access enable faster and more accurate SAS analytics using Remote Direct Memory Access based analytics and fast, scalable,external disk systems with massively parallel access to data, SAS analytics driven organizations can deliver timely and accurate execution for data intensive workfl ows such as risk management, while incorporating larger datasets than using traditional NAS.
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     Data Direct Networks
By: DataFlux     Published Date: Jan 07, 2011
This white paper describes a general approach for planning your organization's efforts to improve data quality, providing a data-example-driven perspective of some of the unique challenges of product data quality, as well as discuss and demonstrate three critical steps to improving product data quality.
Tags : dataflux, product data quality, standardization, matching
     DataFlux
By: Datastax     Published Date: Apr 04, 2017
As the big data ecosystem continues to expand, new technologies are addressing the requirements for managing, processing, analyzing, and storing data to help companies benefit from the rich sources of information flowing into their organizations. From NoSQL databases to open source projects to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance, and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.
Tags : evolution, big data, technology, datastax, nosql
     Datastax
By: Datastax     Published Date: Aug 23, 2017
Kenzan, a software engineering firm that specializes in building scalable, data-driven solutions, often leverages DataStax Enterprise (DSE) for customers that have high expectations for both performance and value. That means making careful, informed choices when designing the cloud infrastructure that applications run on. Controlling costs is always a priority for businesses that rely on AWS for running DSE. With AWS, it can be tempting to solve performance issues simply by adding more resources until the problem goes away. However, this “solution” results in increased costs which quickly add up over time. In this white paper, Kenzan and DataStax identify some of the key factors to consider when building out infrastructure on AWS, outlining practical steps you can take to optimize performance with DSE on AWS while keeping costs in check.
Tags : enterprise, benchmarking, data
     Datastax
By: Datastax     Published Date: Aug 23, 2017
A holistic approach to using customer data to enable data-driven decisions for attracting, retaining, and delivering value through customer experience is what is going to drive many business initiatives over the next 12-month period. Though they each have varying degrees of capability to transform their customer experience applications and remain continuously available no matter what is critical to their success. Companies surveyed are eager to deliver a great customer experience and capture market share, but many CX journeys are hindered by business unit siloes, insufficient budget, and technical challenges. The responses provide key insights into the business priorities, challenges, and data technology needs of companies embarking on or in the midst of their CX journey.
Tags : datastax, customer data
     Datastax
By: Datastax     Published Date: May 20, 2019
DataStax Enterprise and Apache Kafka are designed specifically to fit the needs of modern, next-generation businesses. With DataStax Enterprise (DSE) providing the blazing fast, highly-available hybrid cloud data layer and Apache Kafka™ detangling the web of complex architectures via its distributed streaming attributes, these two form a perfect match for event-driven enterprise architectures.
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     Datastax
By: Dell     Published Date: Feb 02, 2018
Digital transformation is the process of creating value, growth, and competitive advantage through new offerings, business models, and business relationships that are data centric and data driven. It’s about changing the way that business gets done. This transformation also places IT at the forefront when making strategic business decisions related to redefining business processes and operational efficiencies, shifting work and employee productivity, changing customer relationships, increasing buyer loyalty, and transforming product and service revenue streams. IDC believes that IT organizations must assume a critical role in the forthcoming digital reinvention by assuming the position of being a critical business innovation platform.
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     Dell
By: Dell     Published Date: Nov 02, 2018
For many organizations, digital transformation (DX) is the most strategically important initiative for the organization and may determine its ability to compete in the coming decade. IDC estimates that 60% of organizations will have created and begun implementation of a digital transformation strategy by 2020. These DX initiatives are designed to take the organization forward as a proactive, data-driven company that uses and monetizes data to gain competitive advantage in the marketplace.
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     Dell
By: Dell EMC     Published Date: Feb 07, 2018
Digital transformation is the process of creating value, growth, and competitive advantage through new offerings, business models, and business relationships that are data centric and data driven. It’s about changing the way that business gets done. This transformation also places IT at the forefront when making strategic business decisions related to redefining business processes and operational efficiencies, shifting work and employee productivity, changing customer relationships, increasing buyer loyalty, and transforming product and service revenue streams. IDC believes that IT organizations must assume a critical role in the forthcoming digital reinvention by assuming the position of being a critical business innovation platform. Intel Inside®. Powerful Productivity Outside. Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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     Dell EMC
By: Dell EMC EMEA     Published Date: Feb 28, 2019
As diverse organizations seek to implement data-driven strategies, the personal computer in all its varieties remains the key workforce productivity tool. IT leaders must guide PC management across the entire PC lifecycle to enable users to work most effectively. Today, IT leaders address the PC lifecycle across a continuum from control to transformation. Control is geared to optimization, while transformation focuses on the business impact of technology. Download this white paper to learn more about Dell solutions powered by Intel®.
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     Dell EMC EMEA
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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     Domino Data Lab
By: Domino Data Lab     Published Date: Feb 08, 2019
As organizations increasingly strive to become model-driven, they recognize the necessity of a data science platform. According to a recent survey report “Key Factors on the Journey to Become Model-Driven”, 86% of model-driven companies differentiate themselves by using a data science platform. And yet the question of whether to build or buy still remains. This paper presents a framework to facilitate the decision process, and considers the four-year projection of total costs for both approaches in a sample scenario. Read this whitepaper to understand three major factors in your decision process: Total cost of ownership - Internal build costs often run into the tens of millions Opportunity costs - Distraction from your core competency Risk factors - Missed deadlines and delayed time to market
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     Domino Data Lab
By: DrFirst     Published Date: Mar 17, 2015
Assess the state of your hospital’s medication reconciliation process with these Top 5 Reasons Your Hospital is Ready to Graduate to Data-Driven Medication Reconciliation.
Tags : drfirst, medication reconciliation, data driven, medication errors, medication management, streamline reconciliation
     DrFirst
By: Dun & Bradstreet     Published Date: Jul 15, 2015
We’ve all heard of data-driven marketing. Learn how to be data-inspired.
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     Dun & Bradstreet
By: Dun & Bradstreet     Published Date: Feb 03, 2016
According to eMarketer, digital marketers have a “love affair with data,” and are planning to increase spending and usage in data-driven marketing strategies. Data helps marketers make more informed decisions about their most receptive audiences, so it should come as no surprise that 75% of B2B marketers currently leverage data to inform their digital advertising strategy, according to a new study.
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     Dun & Bradstreet
By: Dun & Bradstreet     Published Date: Mar 08, 2016
Did you know that the average health of marketers’ data is only “questionable?” Dun & Bradstreet analyzed 695M customer contact records and surveyed more than 500 B2B marketers to provide the truth about the state of B2B marketing data. Download the fourth annual report to discover how you can turn improved data quality into a competitive advantage. • The trends and pitfalls every data-driven marketer needs to know • The true state of B2B marketing data quality • Benchmarks for assessing your own data quality • Dun & Bradstreet’s research of B2B marketers’ data-fueled priorities for 2016 Do you have the data strategy you need to deliver on your marketing goals? Download the B2B Marketing Data Report to find out!
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     Dun & Bradstreet
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