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data model

Results 351 - 373 of 373Sort Results By: Published Date | Title | Company Name
Published By: NetApp     Published Date: Mar 05, 2018
Did you know that by 2020, 50% of analytic queries will be generated using search, natural-language processing or voice, or will be automatically generated? Read the Gartner report Technology Insight for Modern Analytics and Business Intelligence Platforms and find out how to meet the time-to-insight demands of today's competitive business environment. Learn how to: • Determine when to use existing, traditional BI technologies versus modern analytics and BI • Broaden data access beyond relational systems • Adopt new approaches to data modeling
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Mar 05, 2018
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017 and get the latest insights and recommendations on DBMS strategy. Discover how to: •Evaluate modern data management capabilities before adopting new DBMS products •Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements • Deploy a multimodel DBMS and reduce complexity in your data center
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: MobileIron     Published Date: Feb 26, 2018
Enterprises are increasingly expected to support Macs as corporateapproved devices. In order to be in compliance, it is imperative that all devices accessing sensitive corporate and customer data be fully secured and managed. MobileIron delivers a new model for authentication and identity to Macs and enables enterprises to unify Apple mobile and desktop operations using a common security and management platform. MobileIron’s layered security can be extended to not only corporate-owned Macs, but to employee-owned devices as well. And, IT organizations can bring Macs under management across the organization with unparalleled speed and at scale thanks to seamless integration with Apple’s Device Enrollment Program (DEP) and Volume Purchase Program (VPP).
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MobileIron
Published By: Dell EMC     Published Date: Feb 23, 2017
Enterprises of all sizes are undergoing massive data center modernization initiatives. They are looking to use technology to cut costs and drive competitive advantage. At the core of many of these transformations is an effort to reengineer IT delivery models to enable cloudlike flexibility of resources, and reduce both capital expenditures and operational overhead. That is giving rise to the private cloud movement. Indeed, private cloud adoption is accelerating and maturing. IT organizations are looking to the private cloud for the elasticity it can provide to add or remove resources as required. In fact, ESG research reveals that more than three-quarters of organizations would classify their private cloud deployment as either an advanced internal cloud or a basic internal cloud. Those organizations that have virtualized at least half of their production applications are more than twice as likely as their more physical infrastructure-dependent counterparts to categorize their environme
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Dell EMC
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn How to take advantage of flexible consumption models to align hybrid cloud adoption with your business
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AWS
Published By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: CrowdStrike     Published Date: Feb 01, 2017
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. Download the white paper to learn: • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google • How CrowdStrike solved this challenge by building its own proprietary graph data model • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches
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CrowdStrike
Published By: Datastax     Published Date: Aug 27, 2018
Graph databases have the power to see deeply into real-time data relationships and make it easy to use relationship patterns for instant insight into large data sets. From IoT to networking to customer 360 to solving business problems with multi-model support, the power of graph can never be understated. Read this white paper to learn the uses cases for graph databases and how graph databases work.
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Datastax
Published By: FICO     Published Date: Mar 22, 2018
Predictive analytics provide the foresight to understand cybersecurity risk exposure. Cybersecurity strategies often consist of “whack-a-mole” exercises focused on the perpetual detection and mitigation of vulnerabilities. As a result, organizations must re-think the ever-escalating costs associated with vulnerability management. After all, the daily flow of cybersecurity incidents and publicized data breaches, across all industries, calls into question the feasibility of achieving and maintaining a fully effective defense. The time is right to review the risk management and risk quantifcation methods applied in other disciplines to determine their applicability to cybersecurity. Security scoring is a hot topic, and rightfully so. When evaluating ways to integrate these scores into your cybersecurity strategy, be sure to look for an empirical approach to model development. The FICO Enterprise Security Score is the most accurate, predictive security score on the market.
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FICO
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 02, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
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cloud, database, hybrid cloud, database platform
    
Group M_IBM Q1'18
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: Turbonomic     Published Date: Nov 12, 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 t
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Turbonomic
Published By: HERE Technologies     Published Date: Sep 26, 2018
Mobile has become the first screen for consumers in terms of internet time spent. Hyperlocal location data is unique to mobile and provides a lot of new, valuable information about consumers. Today’s sophisticated buyers demand more transparency in location data science, better campaign performance and ROI from attribution modeling. Finding the right partner that can help build the bridge between real-world consumer behavior and mobile programmatic advertising in a transparent way is essential. To meet those challenges and address the demand for top quality location data, adsquare integrated a global database of HERE Places in April 2017. By leveraging HERE Places and overlaying raw location data of anonymous users with POI data points, adsquare is able to understand exactly what consumers are doing in the real world: what places they visit, when and how often. To find out more download this paper today.
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HERE Technologies
Published By: BetterUp     Published Date: Aug 14, 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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human resource technology
    
BetterUp
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence, automation, Internet of Things, blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies. We call this next-generation business model the Cognitive Enterprise.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
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: RMS     Published Date: Jul 18, 2019
When evaluating single risks, underwriters and coverholders typically have to request exposure analytics from their portfolio managers and brokers, or gather their own supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones, through to lookups on Google Maps. But all this takes valuable time, requires multiple user licenses and can generate information that is inconsistent with the underlying modeling data at the portfolio level.
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RMS
Published By: Virgin Media Business     Published Date: Jul 30, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this whitepaper today.
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Virgin Media Business
Published By: Virgin Media Business     Published Date: Aug 02, 2019
The world is now digital. From the explosive expansion in data-driven service delivery to digitally disruptive business models such as Uber and Netflix that have fundamentally changed the way we consume products, the digital evolution is unavoidable. As digital continues to advance, it’s crucial that UK businesses can be confident in their ability to keep up to date with the latest trends and technologies. But enhancing existing tools and models is just the beginning. Digital transformation is about taking advantage of new innovations that completely change the way businesses work, the experiences they offer their customers and the value they deliver within their market. To find out more download this case study today.
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Virgin Media Business
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