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Published By: SAS     Published Date: Oct 18, 2017
Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.
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SAS
Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
Read this whitepaper and see why the shift toward self-service data analytics is empowering leading analysts and analytic teams to improve processes, eliminate repetitive tasks, build better relationships with IT, and deliver deeper insights faster.
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Alteryx, Inc.
Published By: IBM     Published Date: Jul 15, 2015
IBM Customer Analytics solutions can help improve marketing campaigns.
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customer analytics, crm, prospect, marketing campaigns, data
    
IBM
Published By: IBM     Published Date: Feb 19, 2015
Read how Big Data and Analytics can help businesses deliver on customer needs, acquire customers, increase profitability and help retain the most valuable customers.
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big data, business analytics, customer retention, customer aquisition
    
IBM
Published By: NetSuite     Published Date: Nov 27, 2007
But what is "BI" and how do small/mid size business owners acquire it without too much cost?  This Executive White Paper will outline the issues and solutions for the "BI" requirements of growing companies.
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analytics, business analytics, business intelligence, bi tools, business planning, erp data, netsuite
    
NetSuite
Published By: CareCloud     Published Date: Jan 08, 2014
The power of analytics is undeniable, but before moving your practice into the future you should know where you stand today. This whitepaper will teach you to implement a healthcare analytics strategy at your practice, which is essential to improving productivity, increasing profitability and improving patient outcomes. Download this white paper and learn how to: • Assess and improve healthcare analytics reporting capabilities • Optimize medical practice efficiency in real-time • Evaluate what you need from the right analytics system • Manage patient populations more effectively • Maximize profitability through data-driven decision-making, and more.
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carecloud, actionable analytics, real time, business intelligence, meaningful use, patient data, information technology, practice management
    
CareCloud
Published By: Yesmail     Published Date: May 13, 2008
Using Web Analytics data to trigger email messages can produce amazing results.  Find out why marketers should be jumping on this opportunity.
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web analytics, yesmail, yes mail, a/b testing
    
Yesmail
Published By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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cloud computing, it efficiency, cloud storage, data protection
    
IBM
Published By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Workforce analytics is a very significant development in human resources. It promises the potential for deeper understanding of the ways workers contribute to organizational performance. However, workforce analytics is not just about analyzing data to reveal exciting insights; it also requires the active involvement of a firm’s workers if the potential of analytics is to be fully realized. Without active employee participation, workforce analytics efforts face at best, restricted data sources and data sets that are incomplete and at worst, the risk of damaging employee relations and, ultimately, productivity. This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework. The FORT criteria could prove particularly useful in European countries. This is because the 1995 European Union Data Protection Directive, along with certain local legislative pr
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ibm, ibm smarter workforce institute, work trends, employee engagement
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework.
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ibm, workforce analytics, hr analytics, human resources, employee engagement, employee participation
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework.
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ibm, workforce analytics, hr analytics, human resources, employee engagement, employee participation
    
IBM
Published By: IBM     Published Date: Jan 20, 2016
Workforce analytics is a significant development in human resources.
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ibm, workforce analytics, employee participation
    
IBM
Published By: IBM     Published Date: Feb 02, 2016
Discover what it takes to deliver truly proactive care to customers and find out how active customer experience management can deliver significant business benefits in the form of cost savings, reduced churn, and increased revenue.
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ibm, customer management, customer loyalty, analytics, data, telecom, crm & customer care
    
IBM
Published By: IBM     Published Date: Mar 29, 2017
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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cloud, analytics, data, organization, ibm
    
IBM
Published By: McAfee     Published Date: Apr 25, 2014
McAfee® Threat Intelligence Exchange and the McAfee Security Connected Platform can help integrate workflows and data to overcome siloed operations and shift the security model to agile, intelligent threat prevention. This paper describes three use cases to illustrate the benefits.
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advanced malware, security, suspicious files, dynamic sandboxing, static analytics, threat prevention, mcafee network security, mcafee web gateway, mcafee email gateway
    
McAfee
Published By: IBM     Published Date: Nov 06, 2014
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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big data, data integration, analytics, customer matching, ibm
    
IBM
Published By: IBM     Published Date: Jan 09, 2015
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, big data, insights, infosphere, data management, dashboards, value, data matching, analytics, challenges, hadoop
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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ibm, mdm, big data, data management, data matching, customer analytics
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Apr 14, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
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customer analytics, data analysis, competitive advantage, understanding your customer base
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Intel Corp.     Published Date: Nov 21, 2017
this Whitepaper will provide an overview on personalizing customer experiences to pinpointing undetected fraud, to identifying business efficiencies, Intel's Saffron Natural Intelligence Platform helps financial institutions increase revenue and prevent loss.
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Intel Corp.
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
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