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Published By: Fujitsu Healthcare     Published Date: Nov 04, 2013
Dr. Scott Boden, Professor of Orthopaedic Surgery and Director of the Emory Orthopaedics & Spine Center, has a deep understanding of what it takes to run a successful medical practice that provides optimal patient care in today’s complex health care environment. A lauded physician and researcher–he discovered a gene that triggers human bone growth–Dr.Boden gained this insight while treating thousands of patients each year. Creating a highly efficient, consistent, and cost-effective way to evaluate and treat patients is, according to Dr. Boden, central to success. He also places a high priority on gathering comprehensive data on patient outcomes, while easing the burden of medical documentation.
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improving efficiency, enhancing patient care, best practices, successful medical care, data collection of patient outcomes, medical documentation, electronic health records
    
Fujitsu Healthcare
Published By: hightail     Published Date: Jan 17, 2014
Learn how the method of data collection and storage has changed and learn the 4 essential stages of managing your content in the digital age.
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hightail
Published By: HPE Intel     Published Date: Feb 17, 2016
Strategies for State, Local, and Education IT Management View this webinar to learn about how the explosive growth of data calls for new approaches from IT management. You'll hear from a panel of state, local, and education IT decision makers how increasing scale and complexity of data collection and storage are challenging their departments to adapt. Participants: Mark Meyers is the CTO and DIS Director of the state of Arkansas Dr. Paul Kim is the CTO and Assistant Dean of the Graduate School Education at Stanford University Leo Leung is the VP of Corporate Marketing at Scality Bob Schaar is the Segment Solutions Leader for SLED and SMB at Hewlett Parckard Enterprise Wyatt Kash is the VP of Content Strategy at Fedscoop
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HPE Intel
Published By: IBM     Published Date: Jul 24, 2012
Detect and prevent fraud by finding subtle patterns and associations in your data. IBM SPSS predictive analytics solutions have proved to be very effective at helping tax collection agencies to maximize revenues by detecting non-compliance more efficiently and by focusing investigations on cases that are likely to yield the biggest tax adjustments.
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fraud, business, healthcare, taxes, government, ibm, spss, finance
    
IBM
Published By: IBM     Published Date: Jul 24, 2012
This white paper discusses survey research by breaking it up into a seven step process - and clearly detailing how you can maximize your efforts every step of the way. Get the white paper now.
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ibm, technology, data, data collection, data research, analysis, survey, spss
    
IBM
Published By: IBM     Published Date: Oct 01, 2012
Despite advances in technology, paper forms abound. But paper-based forms are time intensive and error prone. As a result, customers become frustrated with the increased cycle times and drained administrative resources.
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e-forms, electronic forms, process automation, content management, data collection
    
IBM
Published By: IBM     Published Date: Aug 20, 2013
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making. As choices multiply, marketing becomes more challenging than ever. The days when marketers could rely strictly on good judgment and business acumen are past. Technology for decision and process automation gives marketers a decided edge in making spot-on decisions that match individual customers to the best message, on a scale of millions. The process of Decide builds on customer data collection and analysis, and positions your organization for profitable engagement with your Generation C connected customers. It plays an essential role in Enterprise Marketing Management (EMM) along with the processes of Collect, Analyze, Deliver and Manage.
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enterprise marketing management, customer marketing, customer communication, interactive marketing, emm, process automation, marketing strategy, multi-channel marketing, customer relationship management
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Good marketing is like a conversation. You have to listen to your customers. In our connected world, that means listening to the data they generate in their interactions with your brand.
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enterprise marketing management, emm, capitalize market, data driven marketing, data collection struggle, data trails, customer behavior, mistargeted market, act on opportunities, multichannel connectedness, sales and support agent, customer interactions, customer browsing behavior, keeping up with data collection
    
IBM
Published By: IBM     Published Date: Oct 30, 2013
Learn how you can extend the narrative reporting capabilities of your entire organization--while maintaining auditability and control.
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ibm, cognos disclosure management, business intelligence, data collection, aggregation, data repository, executive management, decrease risks, decrease data inaccuracies, business forecasts
    
IBM
Published By: IBM     Published Date: Oct 24, 2013
Learn how automating 'Last Mile of Finance' processes can help CFOs and their finance teams meet expanded reporting requirements--including XBRL tagging.
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ibm, cognos disclosure management, business intelligence, data collection, last mile of finance, account reconciliation, internal management, financial reporting, financial controls, financial workflow, regulatory reporting, applications, extensible business reporting language
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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IBM
Published By: IBM     Published Date: Apr 14, 2017
The growing need for organizations to treat information as an asset is making metadata management strategic, driving significant growth for metadata management solutions. We evaluate nine vendors to help data and analytics leaders find the solution that best suits the needs of their organization.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection, metadata, business meta data, market data
    
IBM
Published By: IBM     Published Date: Apr 19, 2017
Data is only as good as the insights it produces, the actions it influences, and the results it fosters. That’s the secret recipe for data management. Your business stakeholders depend on data-based insights to drive decisions and priorities throughout the organization. Insights based on sound data practices can give your business a competitive advantage in the marketplace. Is your data management system ready to support your business? Find out using Forrester’s Data Management Infrastructure Self-Assessment Tool. IBM has licensed this tool to help you identify the areas of strength and opportunities for improvement.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs. This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on: - Strategies and tactics for effective MDM processes - The technology considerations that should be factored into project plans - The ramifications of incorporating pools of “big data” into MDM efforts - And more
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Are you looking to add new data domains or solve new business problems? IBM InfoSphere MDM comprises a complete MDM suite with multi-domain MDM capabilities and built-in domain patterns. IBM offers several editions of InfoSphere MDM, each designed to integrate with your existing architectures and business processes. You can choose the platform that best meets your immediate and long-term needs.
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cloud data, online marketing, customer acquisition, mobile marketing, social marketing, data warehouse, data storage, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
This video explores the four governance elements you must get right to take full advantage of the hybrid cloud while ensuring your data remains secure and trustworthy.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 20, 2017
Learn how to protect corporate data when users use personal devices for work. The rapid proliferation of mobile devices entering the workplace appears to be like divine intervention to many IT leaders. Mobile devices and their apps have transformed the way we live – how we communicate, travel, shop, work and so much more. This mobility transformation has been so radical, so revolutionary, that it is hard to imagine life without these devices. Bring Your Own Device (BYOD) was born and employees followed with fervor.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
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, web-based applications
    
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, data collection, online data collection, imarkup, imarkup solutions
    
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, synthetic monitoring, passive monitoring, active monitoring, service level management, service management, systems management, indicative
    
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
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