data support

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Published By: Workday APAC     Published Date: Apr 10, 2019
In the digital era, data and technology are your ticket to new profit pools and growth opportunities. Read this feature story to explore the skills needed to support the future finance function, and learn how finance leaders can find and develop the talent they need.
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Workday APAC
Published By: Rubrik EMEA     Published Date: Apr 15, 2019
Backup and recovery needs a radical rethink. When today’s incumbent solutions were designed over a decade ago, IT environments were exploding, heterogeneity was increasing, and backup was the protection of last resort. The goal was to provide a low cost insurance policy for data, and to support this increasingly complex multi-tier, heterogeneous environment. The answer was to patch together backup and recovery solutions under a common vendor management framework and to minimize costs by moving data across the infrastructure or media.
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data, backup, recovery, virtualization, solutions, cloud, architectures
    
Rubrik EMEA
Published By: Workday APAC     Published Date: Apr 10, 2019
In the digital era, data and technology are your ticket to new profit pools and growth opportunities. Read this feature story to explore the skills needed to support the future finance function, and learn how finance leaders can find and develop the talent they need.
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Workday APAC
Published By: Red Hat     Published Date: Feb 25, 2019
In questo rapporto di analisi, IDC prende in esame le sfide che i clienti sono chiamati ad affrontaree in termini di bilanciamento degli investimenti nelle infrastrutture esistenti, nel miglioramento dell'efficienza e nella modernizzazione dei data center, adottando tecnologie innovative e le più recenti tecniche di deployment per ottimizzare la produttività degli sviluppatori e l'agilità operativa e contenere i costi della gestione del ciclo di vita. IDC approfondisce le alternative a disposizione dei clienti per centrare questi obiettivi, puntando su infrastrutture in grado di supportare i carichi di lavoro esistenti e quelli di prossima generazione e sul ruolo della standardizzazione e modernizzazione per l'ottimizzazione operativa.
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Red Hat
Published By: Epicor Software Corporation     Published Date: Jan 09, 2019
To Keep Pace With Your Customers and Competitors, It’s Time to Leave Your Legacy Software Behind. Legacy enterprise resource planning (ERP) systems struggle to keep up with the modern pace of business, and they fail to meet the changing needs of your workforce. Can your leaders quickly find and analyze vital data? Are your employees’ tasks and processes straightforward and efficient? Does your ERP software make it easier to support growth? See how manufacturers upgrading to the latest ERP software from Epicor transform their business by delivering the visibility, efficiency, and productivity essential for sustained growth.
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Epicor Software Corporation
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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Group M_IBM Q2'19
Published By: Domino Data Lab     Published Date: Feb 08, 2019
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them. Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include: Why data science should not be treated like engineering. How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle. Why agility and special hardware to support burst computing are so important to data science break
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Domino Data Lab
Published By: Anaplan     Published Date: Apr 02, 2019
Connected organizations collaborate across business functions to dynamically steer business performance. Previous generations of planning software have fallen short of this vision, making collaboration difficult to achieve, scattering data across multiple sources, and providing inflexible planning models that require heavy IT support. This landscape motivated Anaplan to develop an innovative platform that enables Connected Planning across the entire enterprise. The FSN Innovation Showcase highlights three major innovations that support these objectives: • Anaplan’s proprietary Hyperblock® technology • The App Hub, a suite of 250+ industry-leading solutions • Developments in machine learning and artificial intelligence
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Anaplan
Published By: Infosys BPM Ltd     Published Date: Feb 12, 2019
The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.
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Infosys BPM Ltd
Published By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
Published By: Cisco EMEA     Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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hyperflex, systems, data platform, storage efficiency, business, cisco
    
Cisco EMEA
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
In today’s dynamic business environment where applications and data are accessed outside of traditional corporate boundaries, IT must embrace the needs of both the business and an ever present mobile workforce. From business agility to employee efficiency, the never-ending quest for improved productivity is found in organisations across industries. And throughout it all, IT is charged with maintaining an organisation’s infrastructure, and security and access, while working to support initiatives that keep the business agile and growing, and employees productive.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools, it management, knowledge management
    
SAP
Published By: HPE Intel     Published Date: Mar 14, 2016
The ever-rising tide of demands on IT organizations is creating constant pressure on their leaders to upgrade or replace their outmoded legacy systems with new infrastructure technologies that will allow them to keep pace with the speed of business. It is no longer sufficient to manage basic business applications and resources such as ERP, email, and silos of heterogeneous data. The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility.
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HPE Intel
Published By: HPE Intel     Published Date: Mar 15, 2016
To free up staff resources to focus on strategic business initiatives, many IT leaders are considering engaging a partner to handle ongoing data center maintenance and optimization. But, too often, data center management services fall short of expectations. Standard care services may be limited in scope, and may not support the range of legacy hardware already in the data center. Conversely, complex managed or outsourced services may involve a costly, fully-customized engagement, in which costs are unpredictable, and control is wrested away from the enterprise. Finally—and perhaps most importantly—many data center management service providers seem to lack the innovative spark that will ensure continuous improvement to data center operations.
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HPE Intel
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
Download this white paper to learn more about these notable findings from IDC's study of HP DC Service customers. HP Datacenter Care Service can reduce the costs of delivering mission-critical business processes by 23%. HP's Datacenter Care Service solution is able to reduce downtime by 88%, adding five hours of uptime annually to each internal user and $835,000 in revenue to each organization. Increasingly, x86 servers will need a higher level of operational support. On average, companies in this study were able to recognize an average ROI of 456% and pay back the initial investment in HP DC Service in six months.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file, and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support into the heart of the system architecture
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Hewlett Packard Enterprise
Published By: Oracle     Published Date: Nov 28, 2017
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
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Oracle
Published By: Dell EMC     Published Date: Nov 03, 2016
IT managers are struggling to keep up with the “always available” demands of the business. Data growth and the nearly ubiquitous adoption of server virtualization among mid-market and enterprise organizations are increasing the cost and complexity of storage and data availability needs. This report documents ESG Lab testing of Dell EMC Storage SC Series with a focus on the value of enhanced Live Volume support that provides always-available access with great ease of use and economics.
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storage, data, sql, architecture
    
Dell EMC
Published By: Dell EMC     Published Date: Nov 08, 2016
Your data center struggles with competing requirements from your lines of business and the finance, security and IT departments. While some executives want to lower cost and increase efficiency, others want business growth and responsiveness. But today, most data center teams are just trying to keep up with application service levels, complex workflows, and sprawling infrastructure and support costs.
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data, converged infrastructure, integration, vmware, private clouds, business application
    
Dell EMC
Published By: Hewlett Packard Enterprise     Published Date: Sep 26, 2017
Analyst paper outlining storage challenges, and the value of the all-flash data center as a means to achieving maximum business value from data and app performance. Includes tips for gaining support from business leaders.
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Hewlett Packard Enterprise
Published By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
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storage, backup, recovery, best practices, networking, it management, data management
    
Commvault
Published 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.
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commvault, snapshot management, replication, array based snapshots, data protection solutions, gui driven, intellisnap, no scripting, increase rpos, networking, storage, data management
    
Commvault
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
In today’s dynamic business environment where applications and data are accessed outside of traditional corporate boundaries, IT must embrace the needs of both the business and an ever present mobile workforce. Download this asset to learn more about working to support initiatives that keep the business agile and growing, and employees productive. Sponsored by: HPE and Intel®
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best practices, mobile workforce, business management, business environment, applications, technology, business technology
    
Hewlett Packard Enterprise
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