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data model

Results 226 - 250 of 373Sort Results By: Published Date | Title | Company Name
Published By: F5 Networks Inc     Published Date: Jun 24, 2015
Enterprises are moving to a software-defined, private cloud data center model for agility, operational efficiency, and a self-service approach to deploying applications and associated services. They are utilizing a two-tier hybrid services architecture to get the benefits of specialized hardware for front door network services and scalable software for application, stack-specific services. Read this whitepaper to learn how to integrate the necessary services with the orchestration and automation systems of a software-defined data center.
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appplication services, cloud, software, load balancing, iot, agility, automation, operational efficiency
    
F5 Networks Inc
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
Published By: Logrhythm     Published Date: Feb 24, 2016
The time has come for CEOs and Boards to take personal responsibility for improving their companies’ cyber security. Global payment systems, private customer data, critical control systems, and core intellectual property are all at risk today. As cyber criminals step up their game, government regulators get more involved, litigators and courts wade in deeper, and the public learns more about cyber risks, corporate leaders will have to step up accordingly. This whitepaper focuses on the LogRhythm Security Intelligence Maturity Model, and how it is a valuable guide for building the necessary successive layers of threat detection and response capabilities. Download this paper now to find out more.
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cyber attack, risk, cyber security, cyber criminals, cyber risks, security intelligence, threat detection
    
Logrhythm
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Private cloud is one of the critical deployment architectures IT teams are adopting as they transition to a service-centric delivery model. More than 75% of organizations? already use private clouds to lower costs, increase agility and exert greater control over security, data protection and compliance. The transition to private cloud represents a paradigm shift in how IT is provisioned and data centers are deployed. Virtualization is expanding beyond servers into storage and networking, while software-defined models allow new levels of agility through advanced automation and orchestration. https://www.eventbrite.com/e/mpower-emea-cybersecurity-summit-2017-tickets-36893006977?aff=kp4
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cloud, security, guide, privacy, architectures, organizations, compliance, protection
    
McAfee EMEA
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Machine learning offers the depth, creative problem-solving capabilities, and automation to help security organizations gain significant ground against attackers. It’s a powerful tool for processing massive amounts of data for the purpose of malware classification and analysis, especially for unknown threats. Through supervised learning, human researchers can continually develop new training models that expand the understanding and competency of machine learning systems.
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analytics, security, problem solving, creative, data, researching, malware
    
McAfee EMEA
Published By: Marketo     Published Date: Jun 08, 2017
As a marketer, you know how critical it is to understand how your marketing efforts contribute to the bottom line. There’s a lot that goes on behind-the-scenes to generate sales pipeline and ultimately revenue. And by becoming a data-driven marketer that’s in tune with the right metrics, you can demonstrate marketing’s contribution to both. Metrics illustrate the impact that you and your team are driving in the organization, which is critical to ensure you have the budget and resources you need to deliver optimum business outcomes. Without metrics, it’s nearly impossible to measure the success of your activities and identify elements to optimize in future campaigns. And without them, there’s no way to determine your return on investment (ROI).
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marketing, data driven, metrics, revenue model, tracking campaign, channel success, b2b, return on investment
    
Marketo
Published By: SRC,LLC     Published Date: Jun 01, 2009
We work in an ever-changing landscape of competitors, market forces, customer relationships, partner alliances, political and regulatory pressures, and global climate effects. The common mechanism for coping effectively with change is to refer to canned reports and dashboards, dump reporting data into a spreadsheet and look for answers to today's questions. All too often, we have to rely on estimates rather than models, and gut feel rather than data, because we can't get answers in a timely fashion. Yet we know that the answers lie hidden in the morass of corporate data.
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business intelligence, src, capabilities, unified enterprise, spatial intelligence, alteryx, oracle, netezza
    
SRC,LLC
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: iKnowtion     Published Date: Nov 17, 2011
Learn how a financial services company can retain critical customer assets, and their method for predicting customers that will transfer assets in and out of accounts and the expected amounts.
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customer intelligence, customer loyalty, crm solutions, customer profiling, probability choice models, trigger marketing, financial services, profitability
    
iKnowtion
Published By: Skillsoft     Published Date: Jun 23, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology
    
Skillsoft
Published By: SumTotal, a Skillsoft Company     Published Date: Jun 24, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology
    
SumTotal, a Skillsoft Company
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: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining, grid computing
    
Vertica
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: IBM     Published Date: Dec 09, 2008
Watch an overview of IBM Information Server FastTrack, a revolutionary new module of the IBM Information Server. IBM Information Server FastTrack was designed to help enterprises of all sizes maximize team collaboration, facilitate automation and help ensure projects are completed successfully and on time. By creating an integrated environment that includes business analysts, developers and data modelers, Information Server FastTrack accelerates collaborative development across user roles, products and geographies.
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ibm, fasttrack, ibm information server, server fasttrack, data integration projects, project completion, ibm information server fasttrack, process automation
    
IBM
Published By: IBM     Published Date: Dec 30, 2008
Most long-standing data warehouses are designed to support a relatively small number of users who access information to support strategic decisions, financial planning and the production of standard reports that track performance. Today, many more users need to access information in context and on demand so that critical functions are optimized to run efficiently. Learn how to create a roadmap for a truly dynamic warehousing infrastructure, and move ahead of your competition with your business intelligence system
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warehousing infrastructure, ibm, business intelligence, data warehouse, dynamic warehousing, data warehouse model, master data
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's retail environment. From customer data to product placement statistics, retail organizations are constantly juggling information. As the sheer amount of data continues to grow, it becomes increasingly difficult to manage. Not only does data come in many different forms—such as reports, memos and e-mails—but often it’s scattered across multiple repositories.
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ibm, ibm balanced warehouses, ibm master data management server, ibm omnifind, ibm industry data models, dynamic warehousing, retail buyer’s guide, leveraging data
    
IBM
Published By: IBM     Published Date: Feb 02, 2009
A comprehensive solution for leveraging data in today's financial industry. Most organizations realize that the key to success lies in how well they manage data—and the banking industry is no exception. From customer statistics to strategic plans to employee communications, financial institutions are constantly juggling endless types of information.
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ibm, information management software, leveraging data, dynamic warehousing, data management, improve customer service, real-time risk analysis, analytics capabilities
    
IBM
Published By: Stratus Technologies     Published Date: Jun 04, 2009
Cloud computing allows companies to use IT resources as a service, taking advantage of shared applications, processing and storage managed within the cloud - either inside a private cloud at an internal data center, or in an external cloud at a service provider. Greater robustness of the virtualized servers supporting this new IT model will ensure a resilient cloud infrastructure capable of delivering "on-demand" access to users.
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demand, stratus, cloud computing, virtualized, on demand, storage management, shared applications, cloud
    
Stratus Technologies
Published By: SEPATON     Published Date: Mar 11, 2008
Is backup and recovery unnecessarily draining your budget and resources? This report measures the TCO of an enterprise environment using various data protection models, including tape, virtual tape library, and data deduplication solutions.  Learn how each stacks up in this comparative report.
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backup, data deduplication, deduplication, sepaton, tco
    
SEPATON
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS
Published By: IBM     Published Date: Aug 07, 2012
Insurers lose millions each year through fraudulent claims. Learn how leading insurance companies are using data mining techniques to target claims with the greatest likelihood of adjustment, improving audit accuracy and saving time and resources. Read this paper to learn how to combine powerful analytical techniques with your existing fraud detection and prevention efforts; build models based on previously audited claims and use them to identify potentially fraudulent future claims; ensure adjusters focus on claims most likely to be fraudulent; and deploy results to the people who can use the information to eradicate fraud and recoup money.
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data, mining, detect, insurance, fraud, insurers, fraudulent, claims
    
IBM
Published By: IBM     Published Date: Apr 16, 2012
Join us on from the comfort of your desk and hear about IBM Cognos Insight, the newest addition to the IBM Cognos family. See for yourself how this extremely affordable and breakthrough solution empowers all users to independently explore data, build scenario models and share insights for better business outcomes.
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ibm, technology, powervm, vmware, virtualization, intel platform, technology platform
    
IBM
Published By: Quantcast     Published Date: Jul 16, 2013
Increased competition in a world of growing and complex data requires tremendous resourcefulness to both find and implement scalable ways to grow your business. Using sophisticated data modeling coupled with real-time media buying, US Cellular was able to reduce their CPA to 46% below the campaign average. Read how big data works to drive customer acquisition in the complete success story.
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customer acquisitions, audience insights, strategic insights, display advertising, quantcast, real-time bidding
    
Quantcast
Published By: CDW     Published Date: Aug 04, 2016
As IT advances, organizations are adopting infrastructures that enhance agility and improve efficiency. Data centers are evolving to a state that is almost unrecognizable from only a few years ago. Numerous forces, such as cloud computing and powerful orchestration solutions, are combining to fundamentally change data centers, making them more powerful, sophisticated, flexible and efficient. Many organizations are adopting a hybrid infrastructure data center model that combines a variety of technologies and methodologies, including virtualization, private clouds and other internal IT resources, along with external options such as hosting, colocation, Software as a Service (SaaS) applications and Infrastructure as a Service (IaaS) offerings.
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data center, best practices, technology, data, cloud, cloud computing
    
CDW
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