analytic applications

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Published By: IBM     Published Date: Jan 30, 2017
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, cognitive computing, analytics, engagement, human resources
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Feb 09, 2018
Thrill customers and empower employees with omni-channel, socially-infused digital experiences to drive better business outcomes IBM Customer Experience Suite features rich, integrated capabilities for managing web content, rich-media assets, real-time social communications, robust customer self-service capabilities, business analytics and mobile device delivery IBM Employee Experience Suite enables employees to easily find and share relevant information across multiple platforms, diverse geographies with multiple languages, and within the context of business applications
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digital experience, ibm, software
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Visier     Published Date: Jan 25, 2019
John Schwarz founded Visier to address what he saw as the major failing of business intelligence and big data analytics. He had a front row seat in this market while leading Business Objects, the largest global business intelligence provider (acquired by SAP). John and co-founder Ryan Wong’s vision was to completely reinvent the approach to analytics, providing instant and complete, domain-specific applications to business leaders, answering their important strategic questions and leading them to adopt best management practices. Their applied business analytics project is working. Today, more than a hundred blue chip companies have selected Visier as their people strategy platform and are achieving incredible results. And that’s just the beginning.
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Visier
Published By: TeamQuest     Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
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automated analytics, automated optimization, it cost, power data
    
TeamQuest
Published By: BMC ESM     Published Date: Aug 20, 2009
See the highlights of BMC’s Application Performance and Analytics; a predictive, resourceful and intelligent solution that empowers IT Operations to reduce mean time to repair (MTTR), avoid problems with early warning, find problems faster using fewer resources, ensure applications meet business requirements and put the right person on the right problem, every time.
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bmc, application performance and analytics, it operations, mttr, mean time to repair, data center
    
BMC ESM
Published By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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MicroStrategy
Published By: Avi Networks     Published Date: May 14, 2018
Avi Vantage is the only solution that delivers built-in application analytics in addition to enterprise-grade load balancing and application security. With millions of data points collected in real time, the platform delivers network-DVR like capabilities with the ability to record and display application analytics over specific time intervals (last 15 minutes, hour, day, week etc.) or for individual transactions. These application insights including total round trip time for each transaction, application health scores, errors, end user statistics, and security insights (DDoS attacks, SSL vulnerabilities, ciphers etc.) simplify troubleshooting of applications.
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Avi Networks
Published By: Epicor     Published Date: Jan 09, 2019
Behind the scenes of the world’s leading industrial and manufacturing companies, a profound digital transformation is now underway .1 As with any profound transformation, the opportunities for competitive advantage and growth are enormous, but so are the challenges . How do you determine what your next digital transformation steps should be? How do you position your manufacturing business to take the next step—and the one after that? This eBook will help you answer these questions . In it we will: XX Introduce the role of visibility in digital transformation XX Consider three key trends that are shaping the future of manufacturing by delivering the visibility that enables transformation: – Growth of the Internet of Things (IoT) – The advance of analytics – The migration of applications to the cloud XX Identify the traits you need in your core systems to take advantage of these trends—giving you the visibility to identify and take the steps that will help transform your business into
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Epicor
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: IBM APAC     Published Date: Mar 19, 2018
MongoDB, one of the most popular NoSQL Open databases, helps you take advantage of exploding unstructured data with faster access to data and analytics while reducing your database cost. With the right infrastructure, you can benefit more. By running MongoDB on IBM Power systems, you can achieve: • ?Bring new apps to market faster and reduce the risk for mission-critical deployments • ?2.6x better performance for MongoDB at a much lesser cost than x86 Find out more about IBM Power Systems and MongoDB for today’s applications.
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IBM APAC
Published By: FICO - APAC     Published Date: Jul 10, 2017
To Learn more, read this IndustryWeek eBook, sponsored by FICO, includes four articles about how a variety of manufacturers are using advanced analytics to "get ahead" in areas such as Big Data, supply chain and logistics, and other specific applications.
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FICO - APAC
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: Oracle     Published Date: Sep 08, 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: IBM MidMarket Demand Generation     Published Date: Apr 09, 2012
"HP customers need to be aware that changes in server market trends are affecting Itanium. Read this Clabby Analytics paper to understand how industry consolidation and new server architectures are driving a new class of applications, leaving Itanium behind.
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ibm, technology, powervm, vmware, virtualization, intel platform, technology platform
    
IBM MidMarket Demand Generation
Published By: AWS     Published Date: Oct 30, 2018
Enhance the Availability & Performance of SAP HANA Apps Abstract: SAP HANA delivers powerful analytics capabilities that can help you improve business performance and drive digital transformation. You can more easily build reliable and performant SAP HANA-powered landscapes with SUSE Linux Enterprise Server for SAP Applications and Amazon Web Services (AWS). That’s because SUSE can help you achieve near zero downtime and sustain high-performance levels, while AWS delivers a broad and deep set of cloud services that are certified to fulfill the compute, memory, and storage requirements of SAP HANA.
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availability, performance, sap, hana, apps
    
AWS
Published By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: • how you can leverage and operationalize analytics in your everyday business processes • improve customer relationships • grow revenue in an increasingly competitive world
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fico, customers, analytic, management, applications, solutions
    
FICO
Published By: MemSQL     Published Date: Nov 15, 2017
The Path to Predictive Analytics and Machine Learning This Ebook will be your guide to building and deploying scalable, production-ready machine-learning applications. Inside, you will find several machine learning use cases, code samples to help you get started, and recommended data processing architectures.
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data pipelines, analytics, database, machine learning
    
MemSQL
Published By: Citrix Systems     Published Date: Feb 14, 2019
"Now that 72.3% of cloud users have a mix of on-prem/off-prem clouds, the networking game has changed. Traditional app delivery solutions can’t ensure reliable, secure access in a SaaS, multi-device, hybrid, and multi-cloud world.  Get this solution brief to learn why a holistic strategy innately reduces complexities that otherwise would prohitib visibility and control in distributed architectures. The brief also explains: - The Citrix Networking approach to delivering reliability and a high-quality experience - How to ensure reliable access to apps at branch and remote locations while keeping costs low - How to provide full visibility and analytics for your network, applications, users, and data"
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Citrix Systems
Published By: Citrix Systems     Published Date: Jun 04, 2019
Now that 72.3% of cloud users have a mix of on-prem/off-prem clouds, the networking game has changed. Traditional app delivery solutions can’t ensure reliable, secure access in a SaaS, multi-device, hybrid, and multi-cloud world. Get this solution brief to learn why a holistic strategy innately reduces complexities that otherwise would prohibit visibility and control in distributed architectures. The brief also explains: The Citrix Networking approach to delivering reliability and a high-quality experience How to ensure reliable access to apps at branch and remote locations while keeping costs low How to provide full visibility and analytics for your network, applications, users, and data
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Citrix Systems
Published By: Ensighten     Published Date: Jul 17, 2012
Learn how Tag Management Systems optimize deployment, performance and ROI of digital marketing, while accelerating page load. Add, remove and modify all third-party services like web analytics and conversion pixels via a single interface.
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tag management, digital marketing, web marketing, web analytics, digital advertising, online advertising, javascript tags, web page optimization, web page performance, page load time, ad pixels, conversion pixels, digital marketing applications, conversion tracking, website tagging, tag management systems, tms
    
Ensighten
Published By: Ensighten     Published Date: Aug 02, 2012
Watch the playback on the hidden costs of website Javascript tagging in time, resources, page speed and stability. Hear the benefits of tag management systems and what to look for, plus hear how Sony increased web analytics ROI, while speeding page load.
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tag management, digital marketing, web marketing, web analytics, digital advertising, online advertising, javascript tags, web page optimization, web page performance, page load times, ad pixels, conversion pixels, digital marketing applications, conversion tracking pixels, website tagging, google analytics, sitecatalyst, omniture, website visitor tracking, third-party cookies
    
Ensighten
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