software intelligence

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Published By: CDW     Published Date: Feb 27, 2015
The real test of any SAM system goes beyond creating a one-time Effective Licensing Position (ELP) for a given software publisher. To be truly valuable, the SAM solution has to have the ability to manage change. Being able to work from a dependable list of software that has been approved by, and which also serves the business, means that finite IT & SAM resources are not wasted through the support of legacy software that might be deemed redundant, and should keep a company on track technically by not becoming dependent on aging software. This 10 –Minute Guide from SAM experts at Snow Software will show how to establish and maintain a Software Catalog for the purpose of ensuring that your software estate remains relevant and fit for its business purpose.
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software management, sam, software security, cloud computing, enterprise content management, business intelligence, office productivity apps, network security, internet security, network security appliance, security management, best practices, business management, data protection, mobile device management, snow, bank of ireland, assets
    
CDW
Published By: IBM     Published Date: Sep 30, 2016
Gartner, Inc. has positioned IBM as a leader in providing Security Information and Event Management (SIEM) software in the newly published Gartner Magic Quadrant for SIEM Technology. Read the Gartner report to learn why IBM is positioned as a leader, the strenghts of IBM QRadar for security intelligence & analytics and market trends and vendor evaluation criteria.
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ibm, security, security intelligence, gartner, magic quadrant, siem
    
IBM
Published By: IBM     Published Date: Apr 21, 2016
Industry analysts expect North American sports industry revenue to grow at a compounded annual rate of 4.8% to reach $67.7 billion by 2017, with customer-generated data the most collected type of external data.1 IBM Fan Insight, a software as a service-based solution available in the IBM Softlayer Cloud, and offers sports teams the breakthrough customer intelligence they need to lead in their industry.
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ibm, sports marketing, sports industry, fan insight, kpi dashboard
    
IBM
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: MicroStrategy     Published Date: Aug 28, 2019
Why HyperIntelligence? Today, despite massive investments in data, IT infrastructure, and analytics software, the adoption of analytics continues to lag behind. In fact, according to Gartner, most organizations fail to hit the 30% mark. That means that more than 70% of people at most organizations are going without access to the critical information they need to perform to the best of their abilities. What’s stopping organizations from breaking through the 30% barrier and driving the pervasive adoption of intelligence? Simple. The majority of existing tools only cater to users who are naturally analytically inclined—the analysts, data scientists, and architects of the world. The other 70%—the people making the operational decisions daily within a business—simply lack the time, skill, or desire to seek out data and intelligence on their own. HyperIntelligence helps organizations operationalize their existing investments and arm everyone across the organization with intelligence. Whether
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MicroStrategy
Published By: IBM     Published Date: May 30, 2008
WinterCorp analyzes IBM's DB2 Warehouse and how it addresses twin challenges facing enterprises today: improving the value derived from the torrents of information processed every day, while lowering costs at the same time. Discover why WinterCorp believes the advances in data clustering strategies and intelligent software compression algorithms in IBM's Data Warehouse improves performance of business intelligence queries by radically reducing the I/O's needed to resolve them.
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data warehousing, data management, database management, database administration, dba, business intelligence, ibm, leveraging information, li campaign, ibm li
    
IBM
Published By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today’s market. Now there has been a shift away from these “black box” applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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TIBCO Software
Published By: Kaminario     Published Date: May 05, 2016
Kaminario takes a highly unique approach to storage that does not force IT organizations to make tradeoffs between scalability, performance and cost-efficiency.
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storage management, performance management, best practices, application integration, software protection, business intelligence, infrastructure
    
Kaminario
Published By: SAS     Published Date: Aug 27, 2010
Forget spreadsheets. Organizations that are winning in this down economy are using automated analytical tools to take a more scientific approach to decision making through observation, experimentation and measurement to improve their business processes.
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sas, analytics software, business intelligence, data mining, automated analytical tools, computerworld
    
SAS
Published By: SAS     Published Date: Sep 13, 2013
Assessing Your Business Analytics Initiatives Eight Metrics That Matter
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sas, business analytics, data, business analytics software, business intelligence
    
SAS
Published By: Microsoft     Published Date: Jul 20, 2018
When it comes to performance, Azure SQL Database is built for you, the developer. Azure SQL Database is designed to make your work easier and let you focus on other priorities. It scales on the fly, without downtime, with capabilities that make it great for building multitenant software as a service (SaaS) apps. Plus, it learns and adapts to your database workload, whatever that may be, using built-in intelligence to continually adjust and improve over time. That said, there’s more to a successful app than impressive performance. That’s why we built Azure SQL Database to be just as intelligent in other areas, such as availability and security, so that you won’t need to worry about those essentials either. Finally, we built Azure SQL Database to let you work the way you want, using the tools and platforms you prefer. It’s why we call Azure SQL Database the intelligent database for developers. Read on to learn more, and we’re sure you’ll agree.
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Microsoft
Published By: SAP     Published Date: Jul 17, 2012
Although IDC is expecting worldwide spending on business analytics software to be $33 billion in 2012, technology is only part of the story. The growing demand for faster response and deeper business insight is forcing companies to adopt a more pervasive approach to business intelligence (BI) that supports evidence-based decision making. Higher BI and analytics competency and pervasiveness are achieved when organizational culture, business processes, and technologies are designed and implemented with the goal of improving or automating all strategic, operational, and tactical decision making capabilities of all stakeholders. Access this paper to learn essential best practices for creating a solid BI and analytics strategy.
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sap, best practices, business intelligence, analytics strategy, technology
    
SAP
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isn’t our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data that’s in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
Published By: SAP     Published Date: Mar 28, 2011
Find out how to bring speed and predictability to your next software implementation. SAP Rapid Deployment solutions provide predictable, fast implementations at a fixed price.
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software intelligence, sap rapid deployment solutions
    
SAP
Published By: QlikTech     Published Date: Aug 27, 2013
The Tectonic Plates are shifting in the BI software market - The promise of business intelligence software is to enable decision makers at all level in an organization to leverage data for business advantage - to explore data, draw insights and meaningful conclusions, and make better decisions. This research paper shows how the QlikView Business Discovery Platform delivers true self-service BI that empowers business users by driving innovative decision-making.
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business discovery, powerful, business intelligence, qliktech, idc, small vendors, enabling decision makers, better decisions
    
QlikTech
Published By: Oco, Inc.     Published Date: Apr 18, 2008
The business intelligence (BI) “boom” of the 1990s was something BIG: big projects designed to give big companies with big budgets a competitive advantage. And while BI delivered big returns for some companies, for others it was nothing but a big headache. An estimated 50% of all data warehousing projects failed to meet their goals. Why? Because many companies underestimated just how big an undertaking BI really was.
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oco, business intelligence, software as a service, saas, business intelligence, bi applications, business intelligence applications, roi, tco, return on investment, total cost of ownership, small business, soho, scalability, oco
    
Oco, Inc.
Published By: IBM     Published Date: May 20, 2013
Asian Paints uses social software to share knowledge and expertise IBM Connections helps tap collective intelligence to meet challenges and improve decisions.
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asian paints, social software, knowledge, expertise, ibm connections, improve decisions
    
IBM
Published By: Epicor     Published Date: Jun 22, 2017
If you’ve started to think your lumber and building materials (LBM) business could be getting more from your software, then it might be time for a change. It is no longer sufficient to own a solution that is “good enough.” The most successful LBM companies know that growth comes from integrated online trading, access to business intelligence tools, and using technology to be more efficient. It can be daunting to make the switch to a new enterprise resource planning (ERP) system, and with so many options, it’s hard to know when if you’re choosing the right one. Epicor has provided LBM businesses with the tools needed to make the most informed software choice. The lumber and building materials solutions evaluation kit consists of three white papers that tell you: • How to know when you’ve outgrown your current software solution • How to choose between generic and industry-specific ERP systems • How to outperform in an era of LBM sales growth You’re ready for growth. Learn how Epicor ca
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
Published By: Epicor Software Corporation     Published Date: Nov 03, 2016
Download the latest ERP Selection Guide designed based on our experience working with thousands of growing businesses all over the world.
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erp, erp system, enterprise resource planning, erp selection, erp evaluation, business system, epicor, tco, roi, customer support, erp vendor, finance software, manufacturing software, scm, accounting software, business intelligence, crm
    
Epicor Software Corporation
Published By: FusionOps     Published Date: Jul 25, 2016
Life science companies are adopting innovative cloud technology to provide a single source of truth for end-to-end supply chain decision-making. Read this CIO interview to learn how H.D. Smith is using FusionOps supply chain intelligence software to improve efficiency, cost, and quality. Interview Highlights: • How to improve time to actionable insights using a cloud platform • How to improve service levels and forecast accuracy through deeper intelligence into the supply chain • How to enable cross-functional collaboration to make better business decisions and drive performance improvement
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FusionOps
Published By: Cisco     Published Date: Dec 20, 2018
Intent-based networking is the difference between a network that needs continuous attention and one that simply understands what your organization needs and makes it happen. It’s the difference between doing thousands of tasks manually and having an automated system that helps you focus on business goals. Cisco® Digital Network Architecture (Cisco DNA™) is your team’s bridge to an intentbased network. It is an open, extensible, software-driven architecture that accelerates and simplifies your enterprise network operations, while lowering costs and reducing your risk. Only Cisco provides a single network fabric that is powered by deep intelligence and integrated security to deliver automation and assurance across your entire organization at scale. Cisco DNA gives IT time back from time-consuming, repetitive network configuration tasks so you can focus on the innovation your business needs. Cisco DNA automation and assurance are built on a Software-Defined Networking (SDN) controller, ri
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Cisco
Published By: Kaminario     Published Date: May 05, 2016
This IDC Buyer Case Study reviews how Cobb EMC, a regional not-for-profit electric utility company serving the greater Atlanta metropolitan area, addressed evolving IT infrastructure requirements with flash storage technology to improve performance and substantially improve IT efficiencies. This Buyer Case Study explores what drove Cobb EMC's initial interest in flash, how flash deployment has evolved in the company's environments, how the deployment has impacted its business, and what future plans exist for AFAs at Cobb EMC.
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storage management, performance management, best practices, application integration, software protection, business intelligence
    
Kaminario
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