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Results 201 - 225 of 348Sort Results By: Published Date | Title | Company Name
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
By: FICO     Published Date: Mar 02, 2018
The role of analytics in managing, improving and ultimately transforming supply chains cannot be understated. But what about the analytics themselves? FICO’s Zahir Balaporia and renowned author Tom Davenport use the term “The Analytics Supply Chain” to reflect that the actual analytics themselves parallel supply chains, with inherent challenges and problems if things “get stuck.” Rethinking analytics in these terms can not only improve supply chain performance, but also any other business problems you seek to solve. This article targets: · Steps in the analytics supply chain and the vital role of data and analytic models · How your predictions, recommendations and insights need to rely on similar attributes to finished manufactured products; · Key questions to ask yourself in determining where you need to fix your analytics supply chain.
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supply, chain, analytics, employee, optimization, organisations, productivity
    
FICO
By: Red Hat     Published Date: Mar 28, 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.
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Red Hat
By: Cisco and NVIDIA Corporation     Published Date: Feb 26, 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. Read this eBook to learn more about powerful forces of digital business transformation!
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Cisco and NVIDIA Corporation
By: Anaplan     Published Date: Mar 29, 2018
Incentive compensation represents the potential of delivering optimal sales results. But with up to 60% of sales reps’ income coming from incentive comp, it is crucial to get this right. Our study data has shown that ineffective compensation structures can lead to disengaged reps, high turnover, money left on the table, and low margins. The way we have designed and managed incentive compensation plans in the past may inhibit the sales force and prevent the business from scaling at the needed rate. Modeling and planning quickly become too complex for a spreadsheet-driven exercise.
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optimization, compensation, structures, anaplan, data
    
Anaplan
By: Lenovo and Intel     Published Date: Jul 10, 2018
The risk of cyber attacks and the cost of failure are increasing. Penalties associated with failure are only going to increase. And these challenges are compounded by increasing collaboration, use of cloud-based solutions, and an increasingly mobile workforce. Join experts from Forrester, Lenovo and Microsoft as they explore Forrester’s newly updated Zero Trust Extended framework. Then Lenovo covers how the four core components of its Data, Identity, Online and Device (DIODe) approach can minimize risk to data and critical IT. By taking these important steps toward a full Zero Trust Extended framework, you can: Protect the business from advanced threats Reduce the impact of breaches Easily support new business and operating models Rise to the challenge of evolving regulations like FISMA, HIPPA, PCI and GDPR
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Lenovo and Intel
By: BetterUp     Published Date: Mar 06, 2019
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. Learn how coaching ROI has been measured in the past, and why these methods are flawed. Discover which inputs are factored into our ROI algorithm and you can map the ROI of coaching to tangible business results.
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BetterUp
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, networking, software development, it management, knowledge management, enterprise applications
    
F5 Networks Inc
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
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, access control, anti spam, anti spyware, anti virus, application security, authentication, compliance, identity management, intrusion detection, intrusion prevention
    
Logrhythm
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
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
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
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, teradata, gui, ford, experian, sql, enterprise applications, business management, analytical applications
    
SRC,LLC
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
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, data modeling, marketing analytics, iknowiton
    
iKnowtion
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
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
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, business intelligence, customer experience management, information management
    
JBoss Developer
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, business analytics, business metrics, linux, analytical applications, business intelligence, information management, data warehousing
    
Vertica
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, storage, storage management, storage virtualization, windows server
    
IBM
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, data management, data protection, data warehousing
    
IBM
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, customer data, product placement statistics, data management, scalable system, customer relationships, cross-sell, up-sell opportunities, db2 warehouse, oltp-based transactional data server, information management software, enterprise applications, business process automation
    
IBM
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, information on demand framework, ibm db2 warehouse, ibm master data management server, ibm omnifind, ibm industry data models, ibm balanced warehouses, oltp-based transactional data, enterprise applications, compliance, risk management, data warehousing
    
IBM
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