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By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Tags : data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
     IBM
By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
Tags : ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
     IBM
By: Equinix     Published Date: May 18, 2015
This paper illustrates how organisations are becoming digital enterprises due to the technology implications of scale and volume.
Tags : technology, digital economy, network, become a digital enterprise, mobile, social, cloud, big data
     Equinix
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: Lenovo     Published Date: Apr 28, 2017
“The biggest problem with big data is using it.” Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, and some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.
Tags : lenovo, lenovo sap, data potential, using data, big data challenges, forrester, forrester paper, analyzing big data
     Lenovo
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: HP     Published Date: Dec 05, 2014
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
Tags : server, performance, efficiency, application, infrastructure, information technology, mobility, cloud
     HP
By: HP     Published Date: Dec 05, 2014
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations.
Tags : server, performance, efficiency, application, infrastructure, information technology, mobility, cloud
     HP
By: HPE     Published Date: Feb 11, 2015
An IDG Connect survey of 300 enterprise organization decision makers involved in hardware investment decisions reveals the challenges and opportunities that lay between the old style of IT characterized by cost-cutting and infrastructure silos, with the new style of IT driven by the technology trends of Mobility, Cloud and Big Data. These trends have created a significant increase in business expectations that will press IT organizations to rethink their economics, service delivery and business performance. This paper highlights voice-of-the-IT-buyer research results for insight on the challenges and opportunities for IT organizations to drive innovation, transformation and improved delivery against business expectations. Intel, the Intel logo, Xeon, and Xeon Inside are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.
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     HPE
By: HPE     Published Date: Feb 11, 2015
This assessment is composed of a core set of comparative questions, and the option to be assessed in any of three key areas: computing economics, service delivery and business performance. After a half-decade of cost cutting and shrinking IT budgets, the compute infrastructure that powers the enterprise now is typically inefficient, slow and not optimized for business outcomes. It is better suited to the economic realities of 2010 rather than the rigors of the application workloads, delivery models & business expectations of today driven by cloud, mobility, security and big data megatrends. As a result, there is a significant gap between what businesses expect from technology and what IT can deliver.
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     HPE
By: Prophix     Published Date: Jun 03, 2016
For an increasing number of organizations, enterprise performance management (EPM) tools are enabling senior finance executives to integrate plans, understand where they're losing money, move from annual budgets to rolling forecasts, and identify opportunities for strategic improvements. During this Webcast, a panel of experts will explore: • Why business intelligence and business analytics are each important to your business; • How Big Data and analytics can help your organization answer more questions and ask even better ones; • The capabilities that enterprise performance management software offers organizations; and • How to evaluate what your organization can gain by implementing enterprise performance management software.
Tags : enterprise management, best practices, productivity, opportunities, strategic improvements, software management
     Prophix
By: Dell EMC     Published Date: Nov 02, 2015
Read IDC’s Flash Survey and learn about how the digital transformation for industries, governments and economies is based on the three key enterprise IT mega trends: the modernization of IT legacy; harnessing cloud, mobile, big data analytics and social business; and innovation acceleration.
Tags : emc, idc, flash, digital, enterprise, analytics, security
     Dell EMC
By: RedHat     Published Date: May 16, 2017
The study reveals that among CIOs and senior IT decision makers, open source is not just a cost-saving option; it is also a strategic investment that can lead to digital innovation. It indicates open source usage is moving from community freeware to enterprise-grade solutions. Asia Pacific IT leaders view open source as improving the evolution of technologies that are key to digital transformation, including cloud, DevOps, mobility, and big data.
Tags : open source, digital innovation, digital transformation, devops, mobility, cloud, big data
     RedHat
By: IBM     Published Date: Jul 07, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : the cloud, mobile, mobility, social, analytics, networks, enterprise network, big data
     IBM
By: BMC Software     Published Date: May 28, 2014
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include: • How to ensure that your Big Data projects will drive clearly defined business value • The operational challenges each Big Data initiative must address • The importance of using an enterprise approach for Hadoop batch processing
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     BMC Software
By: Red Hat     Published Date: Nov 30, 2015
A step-by-step guide for adopting software-defined storage as part of a practical, proactive strategy for managing enterprise data. Flexibility is inherent in this technology, and now more than ever, a flexible IT architecture might be the key to facing the once unthinkable challenges of big data.
Tags : software-defined storage, enterprise data, it architecture, big data
     Red Hat
By: IBM     Published Date: Jun 16, 2015
An IBM white paper describing the infrastructure implications of today’s converging technology forces and the software defined, next-generation data center transformation vital to capitalizing on them.
Tags : enterprise infrastructure, big data, mobility, data center, it infrastructure, it security technologies, virtualizing infrastructure, converging technologies
     IBM
By: EMC Corporation     Published Date: Jul 07, 2013
Forward-looking enterprises know there's more to big data than strong and managing large volumes of information. Big data presents an opportunity to leverage analytics and experiment with all available data to derive value never before possible with traditional business intelligence and data warehouse platforms. Through a modern, big data platform that facilitates self-service and collaborative analytics across all data, organizations become more agile and are able to innovate in new ways.
Tags : enterprises, storage, information management, technology, platform, big data analytics, emc, self service
     EMC Corporation
By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
Tags : big data, emc, technology, storage, analytics, data management, security
     EMC Corporation
By: EMC Corporation     Published Date: Jul 07, 2013
Competitive enterprises that embark on big data strategies do so with the expectation that their businesses will transform. They don't just want answers from the data they collect and analyze, they want results. Be it with small, fledgling trials or large, cross-functional efforts, these enterprises want to see clearly how big data can make a difference - with their customers, their processes, their bottom lines and, most important, with growing the business.
Tags : storage, enterprises, information management, technology, platform, big data analytics, emc, self service
     EMC Corporation
By: IBM     Published Date: Jul 06, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere
     IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance
     IBM
By: IBM     Published Date: Oct 13, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : ibm, mdm, big data, ibm infosphere, mdm advantagw
     IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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     IBM
By: EMC Corporation     Published Date: May 27, 2014
ESG Whitepaper: New security risks and old security challenges often overwhelm legacy security controls and analytical tools. This ESG white paper discusses why today's approach to security management—that depends on up-to-the-minute situational awareness and real-time security intelligence—means organizations are entering the era of big data security analytics.
Tags : emc, security operations, security analytics, intelligence-driven security, threat detection, security monitoring, critical incident response, security
     EMC Corporation
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