enterprise data

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Published By: IBM     Published Date: Oct 13, 2017
Blue Hill provides guidance on 1) the Customer Journey leading to a new generation of analytic tools, 2) key value propositions associated with moving to tools such as IBM Cognos Analytics and IBM Watson Analytics, and 3) recommendations for best practices in maximizing the value of insightful and predictive analytics for enterprise data.
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blue hill research, data analytics, ibm cognos, watson analytics, enterprise data
    
IBM
Published By: Ensighten     Published Date: Aug 01, 2013
Boosting Marketing Agility With Enterprise Tag & Data Management
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ensighten, marketing, roi, digital ecosystem, data management, enterprise agility
    
Ensighten
Published By: CA Technologies     Published Date: Apr 06, 2017
Privileged identity, accounts and credentials are core, critical assets for enterprises that must be highly protected through a combination of technology and processes which are enabled by privileged access management. Delivering that protection is instrumental in breaking the data breach kill chain, helping to prevent attacks and mitigating the impact of those that do occur.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
CA Technologies
Published By: CDW     Published Date: Mar 31, 2015
A wireless network is a platform for enabling enterprise-wide access to an organization's applications and data. Wireless infrastructure allows users to take the office with them wherever they go. The wireless network provides employees and guest workers with untethered access to voice, video, data and applications regardless of their physical location. With the influx of mobile devices and increase in Wi-Fi connections, organizations are already starting to see a paradigm shift to "wireless by default" and "wired by exception." Watch this video to see how our solution architects upgraded the Shawnee Mission School District's aging network infrastructure.
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wireless network, networking, applications, data, infrastructure, update, it management, wireless
    
CDW
Published By: QTS Data Centers     Published Date: Feb 17, 2017
According to the 2016 Enterprise IT Spending Benchmarks, compiled by 451 Research, North America will exceed $1 trillion in IT spending by 2017. Businesses of all sizes are expected to move to a hybrid IT approach. When choosing a hybrid approach, you need both on-site and cloud resources that are reliable and well maintained. The easiest way to assure this is by streamlining your data center solutions through a single, fully integrated service provider.
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QTS Data Centers
Published By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jan 27, 2017
For more and more organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
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IBM
Published By: IBM     Published Date: Oct 01, 2016
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
    
IBM
Published By: IBM     Published Date: Sep 28, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
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bridging the cloud, database, hybrid cloud, cloud organization, strategic commitment
    
IBM
Published By: Insight Software     Published Date: May 22, 2018
Don’t settle. Forward-thinking finance professionals know that there is a better way. Though BI tools have provided visibility to data, they have in fact failed to provide direct access to enterprise information. However, evolution does not stop there: Next-gen corporate performance management solutions are among us and promise to deliver interconnected, flexible, and realtime data access. Agility achieved.
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erp, enterprise, finance, evolution, performance
    
Insight Software
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
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SAS
Published By: Hitachi Vantara     Published Date: Mar 20, 2018
Digital transformation is disrupting traditional, tried-and-true business process and leaving many enterprises scrambling for alternatives. Although the customer remains king for business success, data is quickly becoming an organization’s most strategic asset for reaching, interacting with and retaining customers. With ransomware attacks on the rise, a strict regulatory environment, and nimble, competitive upstarts entering the market, protecting and extracting value from your most strategic asset is a business imperative — and a formidable challenge.
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Hitachi Vantara
Published By: IBM     Published Date: Oct 21, 2016
Between the Internet of Things, customer experience and loyalty programs, social network monitoring, connected enterprise systems and other information sources, today's organizations have access to more data than they ever had before-and frankly, more than they may know what to do with. The challenge is to not just understand that data, but actualize it and use it to recognize real business value. This ebook will walk you through a sample scenario with Albert, a data scientist who wants to put text analytics to work by using the Word2vec algorithm and other data science tools.
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ibm, analytics, aps, aps data, open data science, data science, word2vec, enterprise applications, business technology, data center
    
IBM
Published By: Red Hat     Published Date: Jan 01, 2013
Traditional security measures such as network firewalls are no longer enough to keep an enterprise secure. With Red Hat Enterprise Linux, security mechanisms are incorporated and applied at the core of every solution, and security is extended to include all the open source packages that make up Red Hat Enterprise Linux. As a result, customers experience a higher quality of service.
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red hat, security systems, server operating system, next-generation datacenters, enterprise linux, security innovation, evade network defenses, dynamic datacenters, virtualization technologies, cloud computing practices, security, data center
    
Red Hat
Published By: Infosys     Published Date: May 30, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed. A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
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data, fortress, modernize, business, applications, telecom
    
Infosys
Published By: Infosys     Published Date: Jun 12, 2018
Enterprises often accord the lowest priority for modernizing systems running business-critical applications, for fear of disruption of business as well as the time it would take for the new system to stabilize and come up to speed. A large telecom company had the same fears when they decided to modernize the reporting data warehouse which produced reports critical for making business decisions. See how Infosys helped and the five key takeaways from the project.
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data, fortress, modernize, business, applications, telecom
    
Infosys
Published By: Clearswift     Published Date: Jun 09, 2008
In this white paper Clearswift address the question "Is it possible to build a leak free enterprise?" In addition to a Gartner research note on "Understand Data Leakage" we answer the question by describing 15 of the most common mistakes of web and email security and the associated risks and solutions.
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data protection, clearswift, data management
    
Clearswift
Published By: Oracle     Published Date: Apr 26, 2016
Information security attacks are on the rise. And enterprises are highly vulnerable when it comes to databases, where their most critical business information resides. It's time to turn the database, and the infrastructure it runs on, into an information fortress.
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Oracle
Published By: K2     Published Date: Apr 27, 2015
Most enterprises rely on the power of SAP software, but the complexity of implementations and extensive, time-consuming customizations can slow down productivity and make it challenging to meet business needs.
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enterprises, business-app platform, cost-effective, data
    
K2
Published By: McAfee EMEA     Published Date: Nov 15, 2017
The pressures of speed, efficiency, and cost will push more applications and data outside the trusted network and into a service provider’s clouds, where those benefits can be realized. The growth of cloud services and movement of sensitive data between private and public clouds means that those services will become increasingly valuable as targets of attack. As enterprises cloud-enable their operations, gaps in control, visibility, identity, and security are the most likely paths to data breaches.
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cloud, optimization, speed, efficiency, costs, applications, data, services, sensitive data
    
McAfee EMEA
Published By: GoToMyPC     Published Date: Apr 06, 2011
This Forrester white paper examines the rise in IT's prioritization of business continuity and disaster recovery (BC/DR) planning.
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disaster recovery, business continuity, bc/dr, smbs, enterpriser risk management, data loss, damage control, crisis, security, ddos
    
GoToMyPC
Published By: Dell EMC     Published Date: May 16, 2018
IT organizations are increasingly turning toward hyper-converged infrastructure (HCI) solutions to simplify and speed up infrastructure deployments, ease day-to-day operational management, reduce costs, and increase IT speed and agility. Many use cases such as VDI, Test/Dev, IT Operations, Disaster Recovery, ROBO, Private Cloud etc…are already running on VxRail appliances and business critical applications are no exception. VxRail, powered by VMware vSAN, provides the high availability, resiliency, predictable performance, and enterprise ready storage data services that business critical applications require. Intel Inside®. Powerful Productivity Outside. Intel® Xeon® processor Intel, the Intel logo, Xeon and Xeon Inside are the trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
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