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data model

Results 176 - 200 of 373Sort Results By: Published Date | Title | Company Name
Published By: Sprinklr     Published Date: Sep 28, 2017
Customer service today is broken, and the data shows it. Tried-and-true customer service models are losing your organization customers and prospects. So what is the solution? It’s called social customer service.
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social customer service, social media customer service, social media, social, customer service, customer care, customer reviews
    
Sprinklr
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: IBM Watson Health     Published Date: Sep 29, 2017
In the world of value-based healthcare, your data is the key to extracting the most actionable insights that provide real value to your organization. But getting to those insights can prove difficult, especially if you have to connect disparate data sources. You need transparency into key insights that can help your team make more informed decisions for the success of your organization. In this listicle, we explore five ways an analytics solution can help you transform your organization through the power of insight. From risk modeling to predictive analytics, utilizing the right mix of analytics can improve patient outcomes and ultimately move your organization closer to your ideal value-based care model
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value-based care, analytics, insights, data, business intelligence, ehr, fee-for-service, cognitive, predictive, outcomes, infrastructure
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
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: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA
Published By: BetterUp     Published Date: Dec 05, 2018
"As HR investments become more data-driven, coaching must deliver on its ROI evidence gap. At BetterUp, we’ve created a model that can effectively measure the impact of coaching on the bottom line. Download our paper to learn: - How coaching ROI has been measured in the past, and why these methods are flawed - Which inputs are factored into our ROI algorithm - How we map the ROI of coaching to tangible business results"
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BetterUp
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Security has become top of mind for CIOs, and CEOs. Encryption at rest is a piece of the solution, but not a big piece. Encryption over the network is another piece, but only a small piece. These and other pieces do not fit together well; they need to unencrypt and reencrypt the data when they move through the layers, leaving clear versions that create complex operational issues to monitor and detect intrusion. Larger-scale high-value applications requiring high security often use Oracle middleware, including Java and Oracle database. Traditional security models give the data to the processors to encrypt and unencrypt, often many times. The overhead is large, and as a result encryption is used sparingly on only a few applications. The risk to enterprises is that they may have created an illusion of security, which in reality is ripe for exploitation. The modern best-practice security model is an end-to-end encryption architecture. The application deploys application-led encryption s
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Oracle
Published By: F5 Networks Inc     Published Date: Aug 13, 2013
Organizations are increasingly adopting a hybrid cloud computing strategy to realize the benefits without compromising on security and control. The integration at the network, infrastructure, and process layers that is required by hybrid models can be addressed by three new cloud-focused solution types: bridges, brokers, and gateways. This paper gives you the insight you need to better understand which architectural approach will meet your requirements and expectations.
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cloud, data centers, cloud computing, bridges, brokers, gateways, network, infrastructure, hybrid models, it management
    
F5 Networks Inc
Published By: F5 Networks Inc     Published Date: Aug 13, 2013
Emerging data center models are based on flexibility and non-disruptive, on-demand scalability. Infrastructure must not only support these capabilities, but be able itself to provide these same benefits and capabilities. F5 ScaleN is a breakthrough in high availability and scalability, offering the robust capabilities required to enable multi-tenant solutions, elastic applications, and infrastructure for any environment.
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elastic infrastructure, data center models, flexibility, on-demand scalability, elastic applications, multi-tenant solutions
    
F5 Networks Inc
Published By: Oracle     Published Date: Apr 03, 2012
This white paper describes how to successfully consolidate your database onto a private cloud through several deployment models.
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orace, service models, cloud management, 11g, database services, database consolidation
    
Oracle
Published By: Adobe     Published Date: Mar 03, 2017
When it comes to audience engagement, the landscape has been completely rewritten. Media and entertainment companies need to embrace new technologies to achieve revenue goals. The Adobe guide, Play to Win in Audience Intelligence, shows you how. Read the guide to learn: • How to bring your data sources together into a unified view of the customer • How to move beyond basic demographic attributes to behavior attributes • How to use look-alike modeling to improve customer targeting and acquisition
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audience intelligence, audience engagement, unified data source, behavior attributes, look-alike modeling
    
Adobe
Published By: CA Technologies     Published Date: Jun 03, 2015
The complexity and high level of integration inherent in SAP environments can make development especially challenging and increase the time required to bring solutions to market. Persistent development and test challenges include unavailable systems, inability to accurately model performance and complex test data requirements. By employing service virtualization to model the core business logic in SAP systems and integrations, teams can free themselves of these constraints, leading to faster build and test cycles, better quality and lower cost.
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CA Technologies
Published By: Dell EMC     Published Date: Jun 29, 2016
IDC believes that EMC Isilon is indeed an easy to operate, highly scalable and efficient Enterprise Data Lake Platform. IDC validated that a shared storage model based on the Data Lake can in fact provide enterprise-grade service-levels while performing better than dedicated commodity off-the-shelf storage for Hadoop workloads.
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storage, data, enterprise, best practices, platform
    
Dell EMC
Published By: Ciena     Published Date: Nov 15, 2016
"In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This white paper describes the key factors and technologies to consider when building a private network for healthcare sector enterprises, including: Transport Network Equipment Outside Fiber Plant Converged Platforms Reliability, Redundancy, and Protection Reconfigurable Networks Management Software Security Services, Operation, Program Management, and Maintenance Download our white paper to learn more."
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packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces
    
Ciena
    
Ciena
    
Ciena
Published By: HP Inc.     Published Date: Feb 14, 2019
How to overcome complexity and be ready for future growth. The modern production digital print market brought a world of opportunities for micro-runs and variable data printing into the hands of Print Service Providers (PSPs). With print available in any quantity to anyone, print is being democratized, resulting in ever-greater numbers of increasingly smaller jobs. The old print model of high-volume static print is being replaced with a myriad of micro-runs and micro-jobs. Automation that allows PSP owners to master the ensuing complexity and respond faster than ever before is enabling them to refocus on market development and on delivering value.
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HP Inc.
Published By: CA Technologies EMEA     Published Date: May 23, 2018
To move your business from its current state to the connected enterprise, you have to define a common API to your database and other systems, while providing the infrastructure to support the new model. The new systems must incorporate the security safeguards while ensuring the infrastructure can support the new growing, but variable, load. With the rapid adoption of mobile and web-based services across the industry, the REST architecture has emerged as the de facto standard for API integration across systems. This white paper addresses the concepts of REST, creating REST APIs for your databases and integrating with other systems: • What is REST? • Why use REST for database access? • Building REST infrastructure for database access • The REST enabled database • Integrating REST with other services • Criteria for selecting REST services platform
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: May 23, 2018
CA Live API Creator creates application back-ends exposing enterprise-class REST/JSON APIs, including access to existing data and applications. It enables developers to create new REST endpoints that join data across diverse data sources using a point–and–click approach. API owners can extend the API with declarative business rules, JavaScript event processing, role-based security and interactive testing. The CA Live API Creator Reactive Logic model yields systems that are highly scalable and reliable. Its optimized services run more efficiently and with less fragility than services manually coded by skilled developers and architects.
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CA Technologies EMEA
Published By: Kofax     Published Date: Aug 24, 2017
Are you ready for the digital revolution? Digital transformation is fundamentally reshaping the way insurers do business. From automated data integration, mobile implementation and analytics, digital transformation spans across your enterprise operations This white paper provides you with the roadmap you need to build a comprehensive enterprise-wide digital transformation plan that makes your insurance organization not only competitive, but differentiated. • Understand the forces behind digital disruption: customers, competitors, costs and compliance • Learn how to map, prioritize and identify opportunities for digital transformation • Leverage a process maturity model to advance your digital position
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digital future, digital revolution, data integration, positioning
    
Kofax
Published By: Looker EMEA     Published Date: Sep 27, 2017
What is your Analytics Maturity? An 'Army of Analysts' can be very powerful. The problem, of course, is that as your organisation scales, and more data requests come in, you’ll constantly be hiring more analysts (and that gets expensive!). Download this infographic to discover what your analytics maturity is, and how to move from an 'Army of Analysts' to a more efficient, scalable model.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Looker EMEA
Published By: Red Hat     Published Date: Jun 19, 2019
Technology has fundamentally changed the way we live. Access to data and information anytime, anywhere is no longer a luxury—it is a requirement, in both our personal and professional lives. For IT organizations, this means pressure has never been greater to deliver higher-quality applications more often, enabling companies to stay relevant and seize digital business opportunities. Cloud-native is an approach to building applications that takes advantage of cloud computing models and DevOps principles to make the delivery of new features and services faster and more flexible. With a cloud-native strategy, organizations can begin the culture, process, and technology changes needed to meet new demands and become an IT organization that can deliver business innovation faster. The following checklist will assess your needs and possible business impacts to help you choose a cloud-native platform that benefits the business, developers, and IT operations team.
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Red Hat
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