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disparate data

Results 51 - 75 of 92Sort Results By: Published Date | Title | Company Name
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: Forcepoint     Published Date: Jun 06, 2019
Things are not as they used to be in the enterprise. Today’s employees are mobile, they’re storing and accessing data in cloud apps, and are in disparate networks. While the present-day digital world has changed, the objective of data protection has not: you must still ensure the security of your critical data and intellectual property without impacting an employee’s ability to do their job. The key is to gain visibility into user interactions with data and applications. Once this is achieved, you can apply a level of control based on the specific user’s risk and the sensitivity or value of the data. An organization’s data protection program must consider the human point — the intersection of users, data and networks. Enterprises must remain vigilant of data as it moves across hybrid environments and highlight the users who create, touch and move data who may pose the greatest risk to an organization.
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Forcepoint
Published By: ServiceNow     Published Date: Mar 13, 2019
IT asset data that is complete, current across its lifecycle, accurate, and useful is required for running IT as a business. This is only possible when all the disparate data sources are brought together for a unified understanding on a single, rationalized basis. See the changing role of ITAM policy, process, technology, function, and its impact to your business with this white paper.
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ServiceNow
Published By: Nextgen     Published Date: May 25, 2017
As the Northwest Ohio area’s only academic medical center, the University of Toledo Medical Center (UTMC) delivers high-level physician education, while managing a 233-bed hospital for patients as well as 34 specialty clinics. This broad, complex level of responsibility needs a comprehensive, robust interoperability system to connect its different EHR systems so residents, physicians, and technicians can access data whenever, wherever they are. With more than a half-dozen disparate systems, UTMC needs a reliable, robust system to tie everyone together so providers have critical access to patient data from the classroom to the operating theatre. Read this case study to learn how the Mirth® solution has delivered to all of these requirements and enabled University of Toledo.
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Nextgen
Published By: ServiceNow     Published Date: Mar 13, 2019
It’s nearly impossible to effectively manage software assets without first normalizing disparate software discovery data. This best practice guide will help you get the most out of software normalization process and showcase the benefits realized during software publisher audits and renewal discussions.
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ServiceNow
Published By: ServiceNow     Published Date: May 14, 2019
It’s nearly impossible to effectively manage software assets without first normalizing disparate software discovery data. This best practice guide will help you get the most out of software normalization process and showcase the benefits realized during software publisher audits and renewal discussions.
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servicenow, software, asset, management, data, audits
    
ServiceNow
Published By: Optis     Published Date: Mar 07, 2013
Integrating leave and workforce data doesn’t have to be overly complicated. With the right plans, you can make the business case to implement an integrated database so you can get the people answers you need.
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integrated workforce database,   implementing integrated systems,   data quality management,   value of integrated data,   people data management,   disparate people data,   analyze leave data,   employment data
    
Optis
Published By: Optis     Published Date: Feb 26, 2013
Don’t let a lack of people data insight keep you from making the right business decisions. Learn how to become people data strategic and make your disparate data easy to understand, control and see.
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people data management, disparate people data, analyze leave data, employment data, employee benfits data, workforce data management, integrated people data, people data strategy
    
Optis
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
Published By: TIBCO Software     Published Date: Aug 13, 2018
TIBCO Spotfire is the premier data discovery and analytics platform, which provides powerful capabilities for our customers, such as dimension-free data exploration through interactive visualizations, and data mashup to quickly combine disparate data to gain insights masked by data silos or aggregations.
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TIBCO Software
Published By: QlikTech     Published Date: Aug 27, 2013
There is an incredible amount of interest in the topic of Big Data at present: for some organisations its use is an operational reality, providing unprecedented ability to store and analyse large volumes of disparate data that are critical to the organization’s competitive success. It has enabled people to identify new opportunities and solve problems they haven’t been able to solve before. Download this whitepaper to learn more.
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big data, qlikview, big data solutions, opportunity, business opportunity, competitive success, store, analyse
    
QlikTech
Published By: VSS Monitoring     Published Date: Aug 01, 2014
Learn how to make a case for bringing network data into the big data infrastructure and see why such a move will allow for resources to be shared more easily across disparate data sets.
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bid data, network data, data infrastructure, backend architecture, bid data deployments
    
VSS Monitoring
Published By: Forcepoint     Published Date: Jun 06, 2019
Things aren't what they used to be in the enterprise. Your employees are mobile and they're storing and accessing data in cloud apps—often in disparate networks. That presents a serious challenge for old-school threat-centric security models that force you to make decisions with little insight or broader context. Download our eBook to find out how a human-centric, risk-adaptive approach to data security can free up your overwhelmed security team to focus on investigations that really matter.
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Forcepoint
Published By: Evariant     Published Date: Sep 07, 2016
Marketers face a unique challenge to allocate resources across a variety of tactics to target key audiences that need their product or service – with limited information on what combination of products or services will have the optimum impact, which target audience members are ideal fits, and what allocations will provide the best return on investment to the organization. Healthcare has its own myriad of challenges, including many local, regional, and national options for consumers, service line variations, and disparate demographics. The good news is that there is an emerging understanding of digital and multichannel marketing, and ample opportunity to define best practices, systematically calculate marketing effectiveness and return on marketing investment (ROMI), and use technology and data to create great business outcomes.
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evariant, multi-channel marketing, hospital, patient engagement, digital marketing
    
Evariant
Published By: Dell Software     Published Date: Nov 17, 2014
In the race to establish and maintain strong customer relationships, line-of-business executives are increasingly turning to cloud-based, software-as-a-service (SaaS) applications like Salesforce. That’s because these applications offer greater functionality and scalability than on-premises applications. An enterprise-grade, Integration platform as a Service (iPaaS) application can provide a unified approach and toolset to support today’s disparate, hybrid IT landscape, and offer benefits for companies of all sizes. Read this guidebook to learn how to build better customer relationships by connecting the data the data that runs your business, and automating business processes that can benefit from Salesforce application integration.
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integration, customer relationships, cloud-based software, functionality, scalability, data, enterprise applications
    
Dell Software
Published By: Cisco     Published Date: Apr 14, 2014
Today's IT departments are increasingly challenged by the complexity of managing disparate components within their data centers. Rapidly proliferating silos of server, storage, and networking resources combined with numerous management tools and operational processes have led to crippling inefficiencies and costs.
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cisco, sap, flexpod, data centers, it management, enterprise applications
    
Cisco
Published By: MarkLogic     Published Date: Jun 09, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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IBM
Published By: IBM     Published Date: May 30, 2008
This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.
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information management, data integration, blade server, ibm, leveraging information, ibm li, li campaign
    
IBM
Published By: Symantec     Published Date: Dec 13, 2017
Enterprise’s are increasingly under threat from sophisticated attacks. In fact, research has found that threats dwell in a customer’s environment an average of 190 days1. These Advanced Persistent Threats use stealthy techniques to evade detection and bypass traditional security defenses. Once an advanced attack gains access to a customer environment the attacker has many tools to evade detection and begin to exploit valuable resources and data. Security teams face multiple challenges when attempting to detect and fully expose the extent of an advanced attack including manual searches through large and disparate data sources, lack of visibility into critical control points, alert fatigue from false positives, and difficulty identifying and fixing impacted endpoints.
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investigation, exposure, attacks, endpoints, network, email, cloud, security
    
Symantec
Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics
    
Teradata
Published By: Dun & Bradstreet     Published Date: Jul 06, 2016
A tool for finance leaders to unify disparate customer data with financial and strategic ROI
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Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
A tool for finance leaders to unify disparate customer data with financial and strategic ROI If you’ve found yourself sweating in a smoky billiard room, wondering what role customer data should play in finance—as well as in your company’s long-term strategy—this eBook will help you hone your pool shark skills. Inside, you’ll find insights about…. • How to identify patterns in your customer portfolio, and why it matters. • Avoiding four critical data billiard blunders. • Key questions to ask while you’re segmenting your data. • How to tell if your portfolio segmentation strategy is working with the right reporting. This eBook will help you navigate the crowded billiard room of customer data and how you can use it to drive cross-functional value for your team.
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Dun & Bradstreet
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