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Published By: IBM     Published Date: May 09, 2017
How companies are managing growth, gaining insights and cutting costs in the era of big data
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: IBM     Published Date: Jun 25, 2018
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data. Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales. Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: IBM ILOG.     Published Date: Oct 26, 2009
This case study will showcase the challenges of clinical trial data management, but the highlighted techniques are applicable to any business needing smart, dynamic and adaptive Web-based user interfaces.
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brms, business logic, business rules, claims management, data management, data validation, healthcare, productivity
    
IBM ILOG.
Published By: iMarkup Solutions     Published Date: Aug 21, 2009
To optimize the processing of information in an enterprise, organizations need the tools to efficiently automate their existing processes and react quickly to changes in the environment. This is a primary objective of an electronic forms (eForm) processing solution.
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project management, e-form, eform, eforms, e-forms, business process, bpm, business process management
    
iMarkup Solutions
Published By: Indicative Software     Published Date: Aug 24, 2007
Learn about agent-based versus agentless monitoring approaches to enterprise management, and how a combination of data collection technologies can realize the benefits of both.
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enterprise management, enterprise monitoring, data collection, data collection engines, agent-based monitoring, agentless monitoring, performance monitoring, application performance
    
Indicative Software
Published By: Infacta     Published Date: Jan 22, 2007
Online consumers demand relevance, so list builders must focus on building large, highly-relevant lists rather than just gathering a bunch of email addresses. In this article, the author will discuss list size, registration methods, data collection and permission requirements.
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subscriber list, subscription list, email marketing
    
Infacta
Published By: Infor     Published Date: Mar 07, 2017
Financial reporting teams, often led by Controllers, face mounting pressure to provide accurate, useful, and timely data, while also decreasing turnaround time and costs. Regulatory agencies don’t care if an organization is short of staff or if its financial management system amounts to a collection of spreadsheets.
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Infor
Published By: Intermec     Published Date: Aug 01, 2008
Find out how each aspect of perfect order performance (On-Time Delivery, Complete Orders, Damage-free Delivery, Accurate Invoicing and Documentation) can be improved through enhancements to data collection processes and technologies including RFID, speech, imaging technology, and GPS.
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rfid, on-time delivery, complete orders, perfect order, bar code, manufacturing, metrics, speech
    
Intermec
Published By: Juniper Networks     Published Date: Jun 22, 2017
In today’s technology-driven world, a financial services organization’s ability to evolve the business quickly depends on the network. MetaFabric architecture, which is the foundation of Juniper’s unique end-to-end data center networking solution, helps financial services firms respond confidently to whatever happens in the market. With an open, simple, and smart network in place, organizations can adapt quickly and seamlessly to changing requirements while eliminating the disruptions of forced upgrades and unnecessary purchases that come with vendor lock-in. Most importantly, the MetaFabric architecture helps companies stay at the forefront of innovation, keeping them one step ahead of the competition.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Jun 22, 2017
Businesses increasingly recognize that their customers and workers are engaging in ways that were inconceivable when their essential applications were first architected, according to Chris Rechtsteiner, vice president of marketing for ServerCentral. “A group in one country has to have the exact same service levels as a location in another country, and half the people are internal end users, while the other half are external customers,” he says. As their businesses have globalized, their most strategic applications have struggled to keep pace. “Companies are coming to us, asking ‘How do we do this? How do we solve this problem?’ That’s really what it comes down to.”
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Aug 10, 2017
To maximize the benefits of its next-generation systems and successfully execute its information strategy, CU had to overcome its aging network. Most of CU’s network infrastructure, which was built from solutions by another vendor, was introduced in 2007, when its computing center was first built. Over time, the equipment began to fail, affecting the stability of applications which relied on network connectivity. Technical support also became a major issue as the equipment faced obsolescence and maintenance contracts with vendors expired.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
As IT becomes the cloud, and ever more central to business success, projects to transform the IT systems, and more specifically the data center, have become strategic and a competitive differentiator. A crucial piece of the data center transformation puzzle, and one which is too often left until the end, is the network. As the central nervous system of the data center, its transformation must be an integral part of the entire data center transformation project.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
THE FUTURE IS WHAT YOU MAKE IT. Juniper Networks creates innovative technologies to help customers connect their ideas, compete, and thrive in an ever-changing world. Partner with Juniper Networks and start creating the road map to your future-ready network. VISIT JUNIPER.NET/UNITE TO START LOOKING TOWARD THE FUTURE, TODAY.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
Supporting multiple internal clients and all of their requirements for testing and production networks in more than 1,000 cities around the world—these are the unrelenting challenges for the 12 brands that comprise eBay Classifieds Group. Activating new platforms and features can take a lot of time; with the Juniper solution, turnaround time has been reduced to a few hours—sometimes less—which helps eBay Classifieds turn innovation into a real competitive advantage every single day.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
The broad adoption of the next generation of cloud, mobile, M2M, and big data applications is having profound impacts on IT and network infrastructures. Compared to traditional applications, these applications have much shorter life cycles. You must be able to spin them up, spin them down, and grow and shrink them on demand. Furthermore, you must be able to move these application workloads within a data center or across geographically distributed data centers, resulting in increased management complexities.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
The primary purpose of containerized applications is to improve the effectiveness of software teams, making it easier for people to work together while lowering the communications overhead. In large enterprises, applications such as ERP or CRM software suites often begin as simple projects, but as time passes, they quickly become clunky and inefficient, with a monolithic code base that slows progress for development teams.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
Published By: Juniper Networks     Published Date: Oct 25, 2017
eBay Classifieds supports multiple internal clients and all of their requirements in more than 1,000 cities around the world. The company adopts cloud and virtualization services to get to market faster with new features, services, and campaigns using Juniper Networks Contrail Networking, Contrail Cloud Platform and QFX5100 Switch.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Juniper Networks
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: McKesson     Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
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McKesson
Published By: Microsoft     Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: Microsoft     Published Date: Oct 06, 2017
In jeder Geschichte gibt es eine Wahlmöglichkeit: A oder B, wahr oder falsch, sein oder nicht sein. Bei Daten ist es genauso. Sollen Ihre Daten in einer Public Cloud, einer Private Cloud oder lokal gespeichert werden? In welcher Sprache sollen Sie Ihre Anwendungen schreiben? Auf welcher Plattform sollen diese Apps ausgeführt werden? SQL Server 2017 erspart Ihnen diese schwierigen Entscheidungen – genauso wie Optionen, die Ihre Produktivität einschränken könnten. Verwenden Sie die Sprache Ihrer Wahl auf der Plattform Ihrer Wahl, lokal oder in der Cloud.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum? Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found: New customer segments open thanks to lower adoption and operating costs. With less complex infrastructure under SaaS, customer TCO drops. ISV products improve with value-added cloud services and SaaS data capabilities. Financial predictability improves with recurring revenue model. New pricing models aligns ISV value to customers’ business needs, driving increased revenue. Additional, significant operational benefits from switching to a SaaS model. Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs. The collection of product usage data increases the speed of product development by 33%. –
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Microsoft Azure
Published By: MobileIron     Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, best, practices, endpoint, security, data
    
MobileIron
Published By: MobileIron     Published Date: Aug 20, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
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cloud, practices, audit, checklist, endpoint, security
    
MobileIron
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