analytic applications

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Published By: Oracle     Published Date: Jun 20, 2016
This report examines how two major players in the grocery, pharmacy and wholesale markets are leveraging loss prevention technology to centralize enterprise-wide data collection, analysis, and reporting to protect profits, reduce shrink and provide actionable insight across the organization from merchandising and planning to supply chain.
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analytics, loss prevention, enterprise applications, best practices
    
Oracle
Published By: HP     Published Date: Sep 02, 2015
Service virtualization enables development and test teams to simulate and model the dependencies of unavailable or limited services and data. Voke conducted a survey of 505 participants from technology and non-technology companies to explore their use of service virtualization and its results. Organizations using service virtualization experienced fewer defects, reduced software cycles, and increased customer satisfaction. The 2015 Service Virtualization Market Snapshot™ REPORT by Voke Research provides real-world data to help you justify the investment in service virtualization.
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analytics software, application management, application performance, cloud applications, cloud virtualization, service virtualization
    
HP
Published By: Interactive Intelligence     Published Date: Apr 23, 2014
In a contact center environment, real-time analytics provide the live information needed to respond to difficult situations before a customer, a sale, or an opportunity is lost. Scott Bakken and David Patchen from MainTrax and Brandon Rowe from Interactive Intelligence discuss how real-time analytics help your business operate at optimal levels and experience increased growth and reduced costs.
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interactive intelligence, real time speech analytics, contact centers, data centers, real time analytics, productivity, revenue, retention rates
    
Interactive Intelligence
Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining
    
Vertica
Published By: Vertica     Published Date: Jan 19, 2010
Pink OTC Market Inc. is the third largest U.S. equity trading marketing place. Learn how Pink OTC built a highly available and highly reliable (no downtime in a year of production use) data warehouse using Vertica's Analytic DBMS that cost-effectively stores billions of records and scales easily by simply adding CPUs without incurring additional licensing fees.
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pink, adr, data warehousing, vertica, dbms, database, analytical applications
    
Vertica
Published By: Cognos     Published Date: Jun 19, 2007
Read how Cognos 8 Business Intelligence delivers complete reporting to all users with one business intelligence product—to make it simpler, faster, and easier to manage.
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business intelligence, workflow, report, dashboard, business activities, cognos, analytical apps, analytical applications
    
Cognos
Published By: Cognos     Published Date: Jun 19, 2007
The Performance Manager, Proven Strategies for Turning Information into Higher Business Performance, strengthens the partnership between decision-makers and the people who provide the information that drives better decisions. It suggests 42 decisions areas, or information sweet spots, to help you understand your data, plan, and monitor your performance.
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performance, business analytics, business metrics, evaluation, analyze, analytical applications, cognos, business intelligence
    
Cognos
Published By: SAS     Published Date: Jun 05, 2017
"As more products and machines become connected, and analytical capabilities grow, new applications for the Internet of Things (IoT) will emerge. So too will manufacturers change how they make business decisions. This IndustryWeek Special Research Report gauges the current and planned usage of IoT technology and analytics by US manufacturers. It also explores how manufacturers can develop a specific IoT strategy and apply analytics more widely across their organizations to drive revenue, cut costs and innovate. "
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SAS
Published By: IBM     Published Date: Jul 05, 2012
IBM Cognos BI offers complete perspectives on business intelligence and analytics through a single, unified workspace. Read the white paper and see how Power Systems runs Cognos BI applications-on distributed or consolidated servers-for greater business value as well as improved availability, virtualization, performance and energy efficiency.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
Published By: CDW     Published Date: Aug 28, 2015
ACCELERATE, CONSOLIDATE, AND SIMPLIFY All-Flash Arrays (AFAs) are the preferred choice to accelerate high-performance OLTP and decision support/analytics applications on Oracle and Microsoft SQL Server databases. But not all AFAs are equal. Performance is just one dimension. XtremIO excels in all.
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storage, servers, cloud computing, architecture, convergence, infrastructure
    
CDW
Published By: CDW     Published Date: Oct 01, 2015
Learn how a coherent strategy improves productivity and enhances how enterprises operate.
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mobile, analytics software, cloud applications, cloud as a service, cloud computing, cloud infrastructure, cloud management
    
CDW
Published By: CDW     Published Date: Oct 01, 2015
Mobile devices and software deliver the capability for workers to remain productive in new ways and places.
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analytics software, application management, application performance, application security, cdw (cdw), cloud applications
    
CDW
Published By: VMTurbo     Published Date: Feb 11, 2014
Moving beyond monitoring, alerting and reporting to deliver an automated control system for today's virtualized data centers.
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vmturbo, sizing up, operations management, virtual infrastructure, it operations, analytic engine, decision-making process, storage infrastructure
    
VMTurbo
Published By: CradlePoint     Published Date: May 17, 2016
Always-on Connections for Store Networks and Powering Intelligent Systems In the fast-paced world of retail, network reliability is everything—but so are security, agility, and cost-effectiveness. Retailers want it all, and they depend on their IT administrators to balance these needs. Whether it’s ensuring an always-on connection for store networks, powering intelligent systems aimed at swaying buyer behavior, or transmitting real-time analytics to inform marketing and inventory decisions, the bedrock of successful retailing is a network that can support the growing list of mission-critical applications dependent on secure Internet connectivity. In the past, finding a solution to balance these demands has been difficult at best. Less expensive wired options like DSL mean hours of downtime each month. Alternatives like T1 connections deliver more uptime but carry a price tag that usually puts large-scale distributed deployments out of reach.
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CradlePoint
Published By: Oco, Inc.     Published Date: Jun 24, 2008
As a Services Executive are you struggling with questions regarding what to measure, how to effectively engage with your customers, and what information should be leveraged and shared with service-chain partners and customers? Leading edge organizations are making tools and data available to their suppliers and customers with aggregated information from multiple data systems. Service-chain partners and customer personnel can now see the same views of service performance and activity. This is the next frontier to creating customer "stickiness" and business growth.
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business analytics, oco, service management, analytical applications, dashboard, analytic, growth
    
Oco, Inc.
Published By: Lumension     Published Date: Jun 05, 2015
Microsoft's System Center Configuration Manager doesn't handle every aspect of Linux/UNIX and third-party application security. Here's how to augment and leverage SCCM to close the gaps.
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it security, data center, patch, software, application, analytical applications, database development, database security
    
Lumension
Published By: HP Software     Published Date: Oct 20, 2015
The HP Service Anywhere user interface is currently one of the best offered by an ITSM solution.
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swot, big data, analytics, management, applications
    
HP Software
Published By: IBM     Published Date: Mar 28, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, kenexa talent insights, workforce science, talent insights, human resources
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
Tags : 
ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: IBM     Published Date: Jul 20, 2016
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM
Published By: SAP     Published Date: Mar 24, 2011
In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.
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location-based bi, business value, geographic enhancement
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Analytics has moved from the specialty of a dedicated few to a necessity for broad groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence in the banking industry for improving decision making and the benefits of prebuilt analytic applications for achieving this objective across many functions in a banking organization.
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idc, finance, technology, business, banking, analytics, decision making
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
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