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Published By: QlikTech UK     Published Date: Nov 24, 2015
Organizations are, or will soon be, producing petabytes – thousands of terabytes or millions of gigabytes – of valuable data. But the ability to transform these massive data sets into actionable insights requires business intelligence (BI) and analytics tools that can uncover the hidden relationships among varied sources of information, provide rich visualizations of trends and don’t require end-users to be trained data scientists.
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healthcare
    
QlikTech UK
Published By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
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aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
    
Aberdeen
Published By: Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume ERP ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume HCM ABM Leads June 2017
Published By: Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017     Published Date: Jul 11, 2017
Mobile, relationship intelligence, and sales coaching are necessities for today’s sales organization and are pervasive capabilities for every sales automation solution category. No vendor solely offers these capabilities without complementing them with other functions. Instead, they are embedded across the categories mentioned above. For example, sales content management providers cannot compete without extensive mobile expertise; market intelligence and customer success do not work without relationship intelligence; and sales coaching is not constrained only to the sales performance management vendors.
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sales content management, customer success, market intelligence, sales acceleration, sales performance management, partner relationship, contract life cycle
    
Oracle APAC ZO OD Prime Volume SCM ABM Leads June 2017
Published By: CA Technologies     Published Date: Aug 22, 2017
CA Dynamic Capacity Intelligence from CA Technologies is an easy-to-use, fully automated and intelligent capacity management and realtime dynamic capping solution. The solution is designed to streamline your ability to monitor and effectively manage SLAs and improve operational efficiency. It helps IT to achieve rapid value by enabling priority mainframe workloads to the required capacity to meet SLAs while at the same time helps remove the guesswork for MLC pricing.
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management, sla, application delivery, workload, mainframe, lpar boundaries, ca technologies
    
CA Technologies
Published By: CA Technologies     Published Date: Aug 22, 2017
Effectively supporting these new business demands has become more complex and challenging. The increased use of mobile devices alone is driving exponential growth in transaction volumes. A customer pushes a button on his or her cell phone, for example, to check a bank balance. That single transaction triggers a cascade of transactions as the request is validated and data is accessed, retrieved and then sent back to the customer.
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storage, systems, network, applications, data, automation, ca technologies
    
CA Technologies
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: IBM     Published Date: May 26, 2017
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months1 and can cost an organization an average of 11 million USD.2 Today’s cyber actors are becoming more sophisticated, agile and capable of getting past any network security. Organizations must evolve, replacing traditional defensive security strategies with a proactive, intelligence-driven offense to prevent and disrupt these threats. IBM® i2® Enterprise Insight Analysis is a next generation intelligence solution that enables organizations to incorporate cyber threat hunting into their security strategy and turn their defense into a proactive offense.It helps organizations uncover critical insights about their threats and threat actors so they can mitigate and counter more threats with a combination of multi-dimensional visualte analysis capabilities
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ibm, ibm i2, cyber security, customer interaction, enterprise insight analysis
    
IBM
Published By: IBM     Published Date: May 26, 2017
A significant challenge for many organizations has been enabling their analysts to find the "unknown unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime. IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective early-detection, cyberintelligence weapon for its arsenal.
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security. ibm, ibm i2, cyber-intelligence, fraud, malware
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
While there has been improvement in the amount of time an attacker spends in a network before detection — decreasing from years to days in many cases — the ongoing delay illustrates just how elusive attackers still are compared to an organization's ability to detect a problem. IDC believes that actionable threat intelligence is going to be a significant factor in improving this metric. Threat intelligence has historically been seen as a complex set of activities reserved for security operations centers (SOCs) and advanced security analysts. The tools to collect and apply threat intelligence have generally not existed commercially and the ability to integrate threat intelligence into the traditional security workflow has not been available. Over the last few years, threat intelligence has been growing in importance within the security workflow.
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data security, threat intelligence, security operations, advanced security analysts
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: IBM     Published Date: Sep 11, 2017
This book is written for readers who have varying levels of familiarity with ODM. It doesn’t focus on any particular vendor’s offering; instead, it talks about the features of ODM as a model for managing operational decision-making. This book isn’t about offline business intelligence systems. While those systems are very valuable, the focus of this book is on automated decisions that can be executed in real time in conjunction with your business applications and processes.
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odm, management, operation-decision making, intelligence systems
    
IBM
Published By: Epicor     Published Date: Jul 06, 2017
It’s hard to make good decisions without good information. Having access to data, and the tools to quickly analyze that data, is essential. Without data, you are blind to how your business is performing and areas for improvement—all you have to go on is instinct. A robust business intelligence (BI) system can provide new insights to help steer your distribution organization clear of obstacles that impede growth—and toward the opportunities that enable it. A monthly report just doesn’t cut it anymore. You need real-time information, and if you’re running legacy software, it’s probably slowing you down.
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erp software, enterprise resource planning software, business intelligence, distribution, inventory management, distribution software
    
Epicor
Published By: Juniper Networks     Published Date: Aug 08, 2017
As enterprises embark on the digital transformation to take advantage of artificial intelligence, big data, machine learning, IoT, and cloud, they need a network infrastructure that gives them a solid foundation. Juniper Networks® Unite CloudEnabled Enterprise allows networking across your entire enterprise—campus, branch, and data center—ultimately helping you reduce risk, increase agility, lower costs, and enhance the customer experience. Here are the Top 6 reasons why enterprises embarking on the journey of digital transformation should switch to the Juniper Unite Cloud-Enabled Enterprise solution.
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
How will you choose a network solution for your data center to deliver the right blend of performance and cost efficiency? Performance isn’t just throughput. It’s also the intelligence to support your applications with a high quality of experience.
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Juniper Networks
Published By: Juniper Networks     Published Date: Aug 08, 2017
Juniper Networks hybrid cloud architecture enables enterprises to build secure, high performance environments across private and public cloud data centers. The easy-tomanage, scalable architecture keeps operational costs down, allowing users to do more with fewer resources. Security is optimized by the space-efficient Juniper Networks® SRX Series Services Gateways, which are next-generation firewalls (NGFWs) with fully integrated, cloud-informed threat intelligence that offers outstanding performance, scalability, and integrated security services. Designed for high-performance security environments and seamless integration of networking, along with advanced malware detection with Juniper Sky™ Advanced Threat Prevention (ATP), application visibility and control, and intrusion prevention on a single platform, the SRX Series firewalls are best suited for enterprise hybrid cloud deployments.
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Juniper Networks
Published By: Google Cloud     Published Date: Aug 17, 2017
Breakthroughs in artificial intelligence (AI) have captured the imaginations of business and technical leaders alike: computers besting human world-champions in board games with more positions than there are atoms in the universe, mastering popular video games, and helping diagnose skin cancer. The AI techniques underlying these breakthroughs are finding diverse application across every industry. Early adopters are seeing results; particularly encouraging is that AI is starting to transform processes in established industries, from retail to financial services to manufacturing.
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Google Cloud
Published By: SAP     Published Date: Feb 05, 2011
Learn how best-in-class companies access information faster to improve key business performance metrics.
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business performance, sap, real time analytics, business intelligence, analytics
    
SAP
Published By: ASG Software Solutions     Published Date: Apr 20, 2010
This paper can help you achieve successful legacy modernization projects. It presents practical steps for starting application modernization projects and describes the benefits of three high payback strategies. It also reviews the criteria for evaluating a variety of modernization tools.
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asg, application modernization, clarity consulting, apo, application performance optimization, business intelligence
    
ASG Software Solutions
Published By: ASG Software Solutions     Published Date: Apr 29, 2010
The key benefit of creating a case management methodology is to multiply its effectiveness by replicating it across the organization's patient-facing departments, practices and functions. In this way, your organization can reduce costs, increase quality and streamline its operations.
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asg, case management, healthcare, physicians, p4p, hospital case management, case studies, case management bi
    
ASG Software Solutions
Published By: SAS     Published Date: Aug 03, 2016
Tax fraud is already prevalent, and fraudsters are more sophisticated and automated than ever. To get ahead of the game in detecting fraud and protecting revenue, tax agencies need to leverage more advanced and predictive analytics. Legacy processes, systems, and attitudes need not stand in the way. To explore the challenges, opportunities, and value of tax fraud analytics, IIA spoke with Deborah Pianko, a Government Fraud Solutions Architect within the SAS Security Intelligence practice.
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finance, tax fraud, security, protecting revenue, opportunities, analytics
    
SAS
Published By: SAS     Published Date: Aug 03, 2016
Failing to contain financial crime hits banks with the double impact of crime-related losses and fines imposed by regulators and law enforcement agencies. Depending on the magnitude of a bank’s failure to stem financial crime, fines can run into hundreds of millions of dollars – and even higher in exceptional cases. More importantly, institutions are keen to protect their brand from association with transnational organized-crime rings and scandals related to corruption.
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best practices, productivity, finance, financial crime, security
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
Insurers have long been plagued by fraud, error, waste, and abuse in health care payments. The costs are huge – amounting to as much as 25 percent of payments made. Today’s data management and analytics platforms promise breakthroughs by incorporating comparative and behavioral data to predict as well as detect loss in all its forms. To explore the opportunities and how insurers can capitalize on them, IIA spoke with Ben Wright, Sr. Solutions Architect in SAS’s Security Intelligence Global Practice.
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SAS
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