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multi model

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Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: Redstor UK     Published Date: Mar 12, 2018
A majority of businesses have adopted digital platforms across multiple channels and in many cases successfully utilised them to drive efficiency and profitability. Technology, and the data that often underpins it, has become an extremely valuable asset for businesses of all sizes. The way that companies do business has also changed and technology has played a key role in this, customers now expect instant gratification and a service model that suits their specific needs. This paper will analyse the cause and effect of companies implementing digital transformation strategies and understand the role of cloud technologies within this. It will also explore some of the wider aspects of business transformation and the journey’s businesses take to implement innovative technologies.
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digital, transformation, innovation, cloud, business, optimization
    
Redstor UK
Published By: AppDynamics     Published Date: Sep 21, 2017
IDC’s research shows enterprises around the world are using multicloud strategies to optimize the performance of modern and existing legacy applications running on-premises, in public cloud services, and on legacy systems. In the early days of enterprise cloud adoption, many organizations focused their cloud strategies on enabling net-new cloud-native applications written to take advantage of dynamic cloud infrastructure and pay-as-you-go consumption-based cost models. Early success with these implementations is convincing more and more enterprises to expand their cloud footprint and to migrate existing applications to cloud in order to enhance end-user experiences, optimize cloud resource utilization and costs, and create a more flexible and agile business environment.
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AppDynamics
Published By: ServiceNow     Published Date: Jan 03, 2017
The scope and value that modern IT service delivery provides a business is increasing dramatically, according to a new research reportfrom Enterprise Management Associates (EMA). And yet in some organizations legacy ITSM systems contribute significantly to reduced credibility for IT departments who fail to integrate with and support important business concerns. This lack of modern IT service delivery creates multiple issues for the enterprise, including: Increasing divergence of IT and business performance Rising costs due to service delivery complexity Inability to measure and protect a business from potential risks Informed by extensive research and two compelling deployment narratives, this report examines what EMA calls “next-generation ITSM” and its contributions toward optimizing changing IT and business requirements. EMA contrasts these advances with the risks of staying with legacy ITSM models and then evaluates and itemizes the risks of “doing nothing” by allowing legacy ITS
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it management, it automation, it ticketing, help desk, service desk, itsm, it service management
    
ServiceNow
Published By: IBM     Published Date: Feb 28, 2017
Energy companies are being challenged on multiple fronts. Core expectations require the delivery of safe, reliable, affordable and sustainable energy. Business models are being challenged by alternatives such as renewables and consumers demanding more sophisticated interactions through social and mobile. Energy companies need to: Disruptively innovate business processes through analytics driven operational excellence to increase agility and responsiveness, reduce operational costs and improve asset reliability Assume the role of energy integrator to optimally balance supply and demand points Deliver a 360-degree customer-of-one experience to increase customer satisfaction and loyalty, reduce costs, and improve management of energy demand
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ibm, energy & utilities, utility trends, pov, ibm pov, customer experience, sustainable energy, affordable energy
    
IBM
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Datastax     Published Date: Aug 27, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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Druva
Published By: OneLogin     Published Date: Oct 24, 2017
From the information provided in the interviews, Forrester has constructed a Total Economic Impact (TEI) framework for those organizations considering investing in OneLogin. The objective of the framework is to identify the benefits, costs, flexibility, and risk factors that affect the investment decision. Forrester employed four fundamental elements of TEI in modeling OneLogin: benefits, costs, flexibility options, and risks. Forrester took a multistep approach to evaluate the impact that OneLogin can have on the Organization (see Figure 2). Specifically, we: › Interviewed OneLogin marketing, sales, and product management personnel, along with Forrester analysts, to better understand the value proposition for OneLogin. › Conducted an in-depth interview with the Organization’s senior application engineer and its supervisor of IT security to obtain data with respect to costs, benefits, and risks. › Constructed a financial model representative of the interviews using the TEI metho
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OneLogin
Published By: Red Hat     Published Date: Jan 02, 2018
When Aviva plc, a multinational insurance provider group, acquired Friends Provident International (FPI), it needed to replace FPI’s costly proprietary imaging and bond management workflow system. With help from Red Hat Consulting, Aviva Asia Pte. Ltd. created and launched a new application based on Red Hat JBoss Middleware within a tight six-month time frame. With this new solution, Aviva has reduced costs by replacing proprietary licensing fees with Red Hat’s flexible, cost-effective subscription pricing model. In addition, hosting the new application locally on-premise has improved response times for end users, helping Aviva bring new services to market faster.
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Red Hat
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: MicroStrategy     Published Date: Aug 29, 2019
Dresner Advisory Services’ eighth annual Cloud Computing and Business Intelligence Market Study in 2019 shows user confidence at an all-time high, with cloud offerings outnumbering traditional on-premises offerings. Sentiment toward cloud and cloud BI turned sharply positive in 2018, with current and future user plans both trending up. Results from our 2019 Dresner Advisory Services New Year User Survey reinforced those findings with ongoing momentum. Sentiment is at an all-time high, and the majority of organizations—51 percent—use cloud BI in 2019. Cloud-based BI vendor products and services are now more plentiful than traditional onpremises products. Still, vendors support any deployment option the customer chooses: public, private, or hybrid, at multiple levels of scale and price. Customers benefit from these choices, which reduce the chance for vendor lock-in. Users have not settled on deployment models but are migrating toward subscription and the adoption of managed services. Ou
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MicroStrategy
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: Rosetta Stone     Published Date: Jul 05, 2017
The top clients of enterprise language learning companies consist of global companies that recognize the value of multilingual employees. While companies understand the necessity of language learning, there is room for improvement in incorporating language learning into corporate culture. This report looks at what companies are doing in the realm of language learning, to understand what best-in-class organizations are doing, and to provide businesses aspiring to be truly successful on a global stage with strategies for incorporating language learning into their business model. Forbes Insights and Rosetta Stone surveyed 214 executives around the globe to find out if and how companies are training their employees to speak and work in more languages and what impact that training has on both the employees and the company. In addition, the narrative is rounded out with in-depth interviews with executives and experts.
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Rosetta Stone
Published By: Dassault Systèmes     Published Date: May 09, 2018
Today’s thriving High-Tech sector is driven by shrinking product lifecycles, rapid innovation, distributed engineering/manufacturing—and highly demanding customer expectations. The industry needs to deliver on multiple fronts, including: • Embed customer-centric innovation throughout the lifecycle: Only with customer experience at the core can companies stay ahead. • Tame ideas into executable products: Detecting early trends and using customer feedback is vital. • Manage complexity better: Increasing visibility of all product data helps build and manage digital models to use in every business function from R&D to field service. • Create relevant connected systems: High-Tech innovators use IoT for an ongoing dialogue of customers, devices and manufacturers. • Provide agility to compete on software, hardware and service: Customers want value from every interaction. Download your targeted industry analysis to learn more.
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Dassault Systèmes
Published By: Entelo     Published Date: Sep 06, 2017
Engaging with candidates is a long game. To be remembered, it's crucial to take the necessary steps to develop effective relationships, grow your network, and cleverly capture candidates' attention. Join TripAdvisor's Jeff McCarthy and Lori Busch as they share how to leverage recruitment marketing and outreach platforms to improve response rates, influence long-term relationships, and stay top of mind with candidates. In this webinar, you'll learn: TripAdvisor's messaging strategies for increasing open rates by 15% How to structure a multi-touch nurturing workflow to sustain a relationship with candidates A breakdown of TripAdvisor's Attract, Engage, and Convert model Why they emphasize employee-generated content as vital to branding and candidate engagement
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Entelo
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: Anaplan     Published Date: Apr 09, 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: TruSignal     Published Date: Jun 03, 2013
This white paper aims to provide B2C digital marketers with a better understanding of why you may need an audience expansion technique and what questions to ask yourself before you get started. We hope to not only build an imperative for audience expansion techniques, but also to offer a guide that will help you choose the right data and right techniques for reaching more of your desired prospects online. Specifically, this white paper will discuss and differentiate two specific expansion approaches: lookalike and act-alike audiences including how they are built, the problems they solve and how to use them effectively throughout the marketing funnel.
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audience expansion, lookalike, act-alike, audience targeting, predictive analytics, big data, profile data, behavioral data
    
TruSignal
Published By: Cisco     Published Date: May 14, 2015
Cisco's Virtualized Multi-tenant Data Center (VMDC) system defines an end-to-end architecture, which an organization may reference for the migration or build out of virtualized, multi-tenant data centers for new cloud-based service models such as Infrastructure as a Service (IaaS).
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cloud computing, erp, productivity, applications, efficiency, virtualization, cisco, data center
    
Cisco
Published By: Oracle     Published Date: Apr 16, 2018
O gerenciamento de banco de dados é caro e complicado. Conforme aumenta o número de aplicativos e bancos de dados, os custos e complicações podem multiplicar-se. Uma solução, seria um sistema de hardware e software projetado especificamente para que o software de banco de dados otimize as operações de banco de dados, tanto para o desempenho quanto para a simplificação administrativa. O Oracle Exadata é a única plataforma que proporciona desempenho ideal do banco de dados e eficiência para dados mistos, análises e cargas de trabalho OLTP. Com uma gama completa de opções de implantação, ele permite que você execute seu banco de dados Oracle e cargas de trabalho de dados onde e como desejar — on-premise, na nuvem da Oracle, na nuvem do Cliente em seu data center ou em qualquer combinação desses modelos.
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executar, banco, dados, oracle, exadata
    
Oracle
Published By: Oracle     Published Date: Apr 16, 2018
La gestión de bases de datos resulta costosa y complicada. A medida que aumenta la cantidad de aplicaciones y de bases de datos, se pueden multiplicar los costos y las complicaciones. Una solución sería un sistema hardware y software diseñado específicamente para que el software de la base de datos optimice las operaciones, tanto para simplificar el rendimiento como el aspecto administrativo. Exadata de Oracle es la única plataforma que ofrece un rendimiento óptimo de la base de datos y eficacia para la combinación de datos, análisis y cargas de trabajo para el procesamiento de transacciones en línea (OLTP). Con una amplia variedad de opciones de implementación, puede ejecutar sus bases de datos y cargas de trabajo de datos de Oracle en el lugar que quiera y de la manera que quiera, en la Nube de Oracle, en Cloud at Customer, en su data center o cualquier combinación de estos modelos.
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ejecutar, base, datos, oracle, exadata
    
Oracle
Published By: Datastax     Published Date: Aug 03, 2018
"Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models"
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Datastax
Published By: Genesys     Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling. Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can: Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement Harness the power of your data to align customers with the best resource Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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Genesys
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