cloud based analytics

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Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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MicroStrategy
Published By: MicroStrategy     Published Date: Nov 08, 2019
The adoption of cloud BI and analytics is reaching a tipping point. According to the new report from Dresner Advisory Services, there are now more cloud-based deployment options than on-prem offerings available. To learn more about the rising tide of cloud BI, and how sentiment is changing around these offerings, read this new research report based on a 2019 market study. The report covers: A summary of the current cloud BI and analytics landscape An overview of changing user sentiment in the market How organizations are planning to deploy public, private, or hybrid cloud models Read the report for a full list of enterprise challenges and tips on how to address them.
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MicroStrategy
Published By: Hewlett Packard Enterprise     Published Date: Jun 17, 2019
"Cloud-based predictive analytics platforms are a relatively new phenomenon, and they go far beyond the remote monitoring systems of a prior generation. Three key features differentiate cloud-based predictive analytics — data sharing, scope of monitoring, and use of artificial intelligence/machine learning (AI/ML) to drive autonomous operations. To help familiarize the uninitiated with specifically what types of value these systems can drive, IDC discusses them at some length in this white paper."
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Hewlett Packard Enterprise
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
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Zaloni
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 26, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2016
Technology enables business transformation To thrive in today’s idea economy, small and midsize companies like yours are using technology to transform their business. Like your peers, you know that mobile applications, cloud-based solutions, and advanced analytics can help you increase productivity, reduce costs, and grow your business. Older servers, storage, and networking products weren’t built to handle the exploding amount of data that is being shared today. In order to take advantage of these modern applications, many companies have found that they need to close the gap between what their business demands and what their IT systems can deliver.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, transformation
    
Hewlett Packard Enterprise
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking explo
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Oracle CX
Published By: Oracle CX     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
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Oracle CX
Published By: Preempt     Published Date: Nov 02, 2018
In our 2018 Trends in Information Security report, we outlined a concept we referred to as the ‘identity-aware perimeter.’ The essential idea is that as new architectures such as cloud, containers, mobility and IoT take hold, controlling access to resources will increasingly need to rely on identity as an alternative to purely network-based approaches focused more on ‘where’ you are than ‘who’ you are. By combining identity with user and entity behavior and risk scoring to gate access, Preempt fits squarely within this trend, which we think could be one of the most interesting and powerful to hit the infosec market in years. Preempt has few direct competitors, and its initial challenge will be finding ways to distinguish itself from vendors in adjacent categories such as adaptive multi-factor authentication (MFA), advanced threat protection, user and entity behavior analytics (UEBA) and cloud access security brokers (CASB), to name a few. Forging a new security category is never easy,
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Preempt
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Empowered with mobile and cloud-based access to a myriad of products and services, customers now have a variety of options at their fingertips with regards to partnerships. Enterprises that do not follow the ever-changing tastes and preferences of their customers, or that wait too long to react, will fall behind and fail. Across functions, business professionals readily require big data tools and insights to understand and serve these customers. It is no longer an option for business users to rely on IT to deliver customer and other relevant analytics. On the flipside, handing the analytics reins entirely to business users can make governance nearly impossible. Organizations must find balance in a new approach in which IT mostly governs and curates data while business users are empowered to derive insights from data mostly ontheir own without delay.
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Oracle Analytics
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
According to Mary Johnston Turner, Research Vice President at IDC; "Breaking down technology specific management as well as data silos also facilitates faster infrastructure and application rollouts, reduces human errors, and improves overall business agility.Cloud based management, monitoring and analytics help to improve collaboration between IT operations and developer teams by stabilizing service levels and monitoring usage to support accurate charge back." 
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Oracle PaaS/IaaS/Hardware
Published By: NetApp     Published Date: Mar 05, 2018
Read this vendor assessment from IDC and find out about the suitability of 10 vendors' AFA platforms for dense mixed enterprise workload consolidation. Discover the areas where the most differentiation between vendors was noted, including their strategies around NVMe and cloud-based predictive analytics.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Oracle     Published Date: Jul 12, 2017
Enterprises tend not to view project management as a holistic process. Much like the disparate systems they have in place, they see a disparate collection of issues. They typically look to solve specific pain points with single applications. Rather than migrate an entire enterprise to a new system, they are looking to manage a problem spot and have it flow into a specific component (e.g., cost, human capital leverage, or how demand is driven) as needed. In many cases, however, the pain points are symptoms of a larger issue, and to remove them the situation must be viewed in the context of the full project life cycle. Oracle Project Portfolio Management (PPM) Cloud, part of the integrated suite that is Oracle ERP Cloud, not only does this, but it’s also built with the user in mind… solving the PPM pain points through role-based analytics, social collaboration, optimization, costing, control, and mobile solutions for today’s project team.
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ppm, project portfolio management, erp, oracle, cloud
    
Oracle
Published By: Lenovo - APAC     Published Date: Jan 28, 2019
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms. Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure. Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability. Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Workday     Published Date: Mar 02, 2018
Providing all employees with easy, timely access to information is critical in today’s business landscape. Discover how a cloud-based system gives you a single source of truth, across the entire business, so you get data that’s trustworthy, actionable, and available in real time.
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cloud-based system, data analytics, real time
    
Workday
Published By: Workday     Published Date: Mar 05, 2018
Struggling to adopt new technologies and deliver real-time information? Replacing your aging, on-premise solutions with cloud-based ERP systems can turn these challenges into opportunities for your government organization. Read the SmartFocus whitepaper to learn more about the benefits of cloud-based systems, such as: • Real-time analytics for better decision-making • Faster deployment and ROI than on-premise solutions • More time to focus on strategic initiatives
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cloud-based erp, real-time analytics, strategic initiatives
    
Workday
Published By: IBM     Published Date: Jul 05, 2016
Cloud-based data warehousing as-a-service, built for analytics
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ibm, dashdb, data, analytics, data warehouse, cloud, analytics, business insights
    
IBM
Published By: MuleSoft     Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization. Read this whitepaper to learn: -How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics -How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems -The advantages of an API-led connected architecture vs. old SOA approaches
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technology, enterprise applications, best practices, business optimization, technology architecture
    
MuleSoft
Published By: SAP     Published Date: Jul 18, 2016
As your business transitions to a digital enterprise, you can start to give your employees, partners, and customers immediate, data-driven, and even predictive insight into what’s going on – in a way that’s relevant for them. Strategic use of on premise and cloud-based analytics accelerates this process. Read the solution brief to see how SAP is continuing to invest in on premise solutions as part of their effort to reimagine analytics.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
The broad shift from on-premises to cloud deployments has begun, and spending on cloud business analytics will grow five times faster than similar on-premises solutions. Read the white paper to learn some of drivers and the roadblocks of cloud-based business analytics solution deployments, and the offerings from SAP in this market.
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SAP
Published By: SAP     Published Date: Jul 18, 2016
To determine the status of Analytics and Business Intelligence in the Cloud, Enterprise Management Associates (EMA) embarked on an end-user research study to look at the current state of cloud-based analytics. Read the white paper to discover panelists’ insights on cloud-based analytics, business intelligence strategies, and implementation practices.
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SAP
Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys
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