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data model

Results 201 - 225 of 384Sort Results By: Published Date | Title | Company Name
Published By: iKnowtion     Published Date: Nov 17, 2011
This highly successful dot-com brand leveraged its customer information assets to understand the broad range of customers attracted to its product offering, as well as how to evaluate each customer's future value potential.
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customer intelligence, crm solutions, customer analytics, value estimation, customer potential, data modeling, marketing analytics, iknowtion
    
iKnowtion
Published By: Gigamon     Published Date: Dec 13, 2018
Perimeter-based solutions for network security do not work, leading to tool sprawl and performance issues. Read CSO Magazine’s interview with Gigamon CISO, Simon Gibson, to learn why a new, more intelligent approach is needed to build resilience into technology operations. “Security Should Be an Enabler” talks about an architectural approach that distributes only relevant data to appropriate tools, enabling an adaptable, simplified model at a reduced cost. Read now.
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Gigamon
Published By: Discovery Corps, Inc.     Published Date: Nov 20, 2009
Seeing into the hearts and minds of our customers is impossible; but this article describes how Data Mining techniques can be used to create strategies and tactics to increase customer retention and value.
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data mining, business intelligence, predictive modeling, customer retention, high-value customers, decision support, clustering, discovery corps
    
Discovery Corps, Inc.
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat has developed a storage platform that provides unique simplicity, efficiency, reliability, and extensibility that enhances the business value of large-scale OpenStack environments. The InfiniBox® platform is a pre-integrated solution that scales to multiple petabytes of effective capacity in a single 42U rack. The platform’s innovative combination of DRAM, flash, and capacity-optimized disk, delivers tuning-free, high performance for consolidated mixed workloads, including object/Swift, file/Manila, and block/Cinder. These factors combine to cut direct and indirect costs associated with large-scale OpenStack infrastructures, even versus “build-it-yourself” solutions. InfiniBox delivers seven nines (99.99999%) of availability without resorting to expensive replicas or slow erasure codes for data protection. Operations teams appreciate our delivery model designed to easily drop into workflows at all levels of the stack, including native Cinder integration, Ansible automation pl
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Infinidat EMEA
Published By: Trillium Software     Published Date: May 19, 2011
By implementing the six pillars of data quality optimization, your organization can incrementally improve the quality of the data that drives all your operations.
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trillium software, data quality management, iqm, information quality management, quality maturity model, enterprise data management, edm, data storage requirements
    
Trillium Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
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TIBCO Software
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: 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
    
F5 Networks Inc
Published By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
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api, market intelligence, advisory services, digital transformation, data
    
JBoss Developer
Published By: Turbonomic     Published Date: Jul 05, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how to iden
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Turbonomic
Published By: Pure Storage     Published Date: Feb 02, 2017
Read on to find out how purpose-built all-flash storage is an exceptional catalyst for improving data center operations and supporting the transition to the cloud operating model.
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data centre, storage, flash storage, cloud, cloud computing
    
Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2017
There’s no question about it: purpose-built all-flash storage is an exceptional catalyst for improving data center operations and supporting the transition to the cloud operating model. AFAs’ highly strategic role in both IT and business underscores the need to move storage purchase discussions and decisions beyond the storage team. IT leaders who want to see their organizations reap AFAs’ benefits—performance improvement, productivity gains, and cost savings, among others—should actively define their AFA strategies and oversee storage-related decision making, thus treating storage like the newly strategic asset it has become. To learn more, visit purestorage.com/cloud.
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it infrastructure, operations professionals, digital experience, time to resolution, cloud, pure storage
    
Pure Storage
Published By: MobileIron     Published Date: Nov 16, 2017
Traditional identity-based security models cannot secure your business data from the latest mobile-cloud threats, including unsecured devices, unmanaged apps, and unsanctioned cloud services. To keep business data secure in the mobile-cloud world, you need a new security model that checks the state and health of devices, apps, and cloud services before letting them get to your data. Download the one pager now to learn more.
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MobileIron
Published By: VMware     Published Date: Jul 01, 2016
Cloud computing adoption continues to expand as the overall benefits of cloud (cost efficiency, self-service, and IT standardization) are becoming more broadly recognized. While private cloud is the primary type of cloud infrastructure that is in use today, organizations are finding that cloud can no longer be a standalone IT sourcing and consumption model. Enterprises demand greater flexibility and scalability, leading them to invest in hybrid cloud models, which supply them with a seamless application, data, and management environment across all of their IT resources. IDC expects that the percentage of users who adopt private or public cloud models will diminish over the next several years, as enterprises increasingly choose to implement a hybrid cloud model.
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vmware data center, vcloud air, vsphere, hybrid cloud, public cloud, private cloud, disaster recovery, data center extension
    
VMware
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: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, it’s critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec
Published By: SAS     Published Date: Mar 06, 2018
The most recent decade has seen rapid advances in connectivity, mobility, analytics, scalability, and data, spawning what has been called the fourth industrial revolution, or Industry 4.0. This fourth industrial revolution has digitalized operations and resulted in transformations in manufacturing efficiency, supply chain performance, product innovation, and in some cases enabled entirely new business models. This transformation should be top of mind for quality leaders, as quality improvement and monitoring are among the top use cases for Industry 4.0. Quality 4.0 is closely aligning quality management with Industry 4.0 to enable enterprise efficiencies, performance, innovation and business models. However, much of the market isn’t focusing on Quality 4.0, since many quality teams are still trying to solve yesterday’s problems: inefficiency caused by fragmented systems, manual metrics calculations, quality teams independently performing quality work with minimal cross-functional own
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SAS
Published By: Storiant     Published Date: Feb 09, 2015
This report examines the issues that are driving organizations to replace older archive and backup-and restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloud-based pricing model. The report also looks at the role of Storiant and its long-term storage services solution in the strategically important long-term storage market.
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storiant, storage, data management, storage solutions, storage services, backup, recovery, it management
    
Storiant
Published By: VMware     Published Date: Apr 09, 2019
Lower your data center costs with VMware vSan. In this infographic, we’ll show you how to reduce CAPEX and OPEX with a pay-as-you-grow model that enables rapid application deployment and easy ongoing management.
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VMware
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
Published By: IBM     Published Date: Apr 07, 2017
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization. This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. Protecting these virtualized environments, however, as well as 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.
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Druva
Published By: SchemaLogic     Published Date: Jun 11, 2008
Oil & Gas companies operate in an increasingly complex environment. SchemaLogic's enterprise solution for managing content and document metadata enables Oil & Gas companies to model, update and synchronize content across project document repositories or collections for greater reliability and reduced total installed cost.
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mdm, metadata management, oil, gas, petroleum, energy, content management, document management
    
SchemaLogic
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