data access

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Published By: TIBCO Software     Published Date: Jul 22, 2019
The biggest headache for most payment operations teams is cost control — and a large part of it comes from fraud management: Investigation teams waste large amounts of time just assembling the data needed to make decisions. Detection engines are always playing catchup with the latest fraud patterns. Ever changing regulations increase the time and cost required to reach compliance and meet audit standards. Given their scope and impact, replacing core fraud systems is not an option for most firms. But instead of replacing them, you can improve the investigative process with augmented investigation, and improve the detection process by enhancing current systems. This whitepaper describes three ways financial services firms can use TIBCO solutions to lower the cost of investigations through faster results, reduce fraud losses through better detection, and simplify audit and regulatory compliance through centralized access to information.
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TIBCO Software
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise, mrp
    
Sage Software
Published By: Intel     Published Date: Sep 27, 2019
The stakes are high in today's data centers. Organisations have access to massive quantities of data promising valuable insights and new opportunities for business. But data center architects need to rethink and redesign their system architectures to ingest, store and process all that information. Similarly, application owners need to assess how they can process data more effectively. Those who don't re-architect might find themselves scrambling just to keep from being drowned in a data deluge.
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Intel
Published By: Intel     Published Date: Sep 30, 2019
Mountains of data promise valuable insights and innovation for businesses that rethink and redesign their system architectures. But companies that don’t re-architect might find themselves scrambling just to keep from being buried in the avalanche of data. The problem is not just in storing raw data, though. For businesses to stay competitive, they need to quickly and cost-effectively access and process all that data for business insights, research, artificial intelligence (AI), and other uses. Both memory and storage are required to enable this level of processing, and companies struggle to balance high costs against limited capacities and performance constraints. The challenge is even more daunting because different types of memory and storage are required for different workloads. Furthermore, multiple technologies might be used together to achieve the optimal tradeoff in cost versus performance. Intel is addressing these challenges with new memory and storage technologies that emp
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Intel
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
The data maturity curve As companies invest more and more in data access and organization, business leaders seek ways to extract more business value from their organization’s data. 92 percent of business leaders say that to compete in the future, their organization must be able to exploit information much more quickly than it can today.1 Chief Information Officers (CIO) need solutions that will allow them to evolve their organization’s approach to data and drive real value with strategic decisions. This journey can be depicted in a data maturity curve.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 11, 2019
This report describes the results from a groundbreaking global study by Thycotic that reveals major risk and compliance gaps in how organizations manage and secure their privileged accounts and access to sensitive systems, infrastructure and data. The 2018 Global State of Privileged Access Management (PAM) Risk & Compliance report highlights where many organizations are failing to fully put security controls in place to protect their most critical information assets.
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jun 27, 2019
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: Time Clock Plus     Published Date: Feb 07, 2019
For most companies, the Human Resources department has a long history of guarding sensitive employee data. Rows of beige file cabinets line a back closet where only those with a key and knowledge of the filing system have access to the personal information of countless employees. The greatest risk to this data has always been fire or water damage, but that’s quickly changing with the emergence of online data storage.
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Time Clock Plus
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Your goal is high availability for the applications, databases, virtual machines (VMs), servers, and data that run your business. When access is lost or interrupted, recovery speed is critical, and must be measured in minutes and seconds, not hours of days. And if your backup and recovery strategy includes point solutions with limited coverage, legacy approaches that don't support today's modern technologies, or manual proc cesses that are time-consuming and complex, you may not be ready when disaster strikes.
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Commvault ABM Oct
Published By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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MarkLogic
Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle
Published By: Oracle     Published Date: Jun 04, 2019
Yes, you can build better trust in your data —but only if the organization can collect, structure, analyze and protect data in the right ways with the right tools. Modern supply chains integrate a host of related parties (and human error) into knowledge systems, which include business metrics, supplier sustainability performance data, and even intellectual property (IP). This is why systems and data must be built around secure access and verifiable trust. To find out more, download this report today!
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Oracle
Published By: Oracle OMC     Published Date: Nov 30, 2017
Successful email marketing, demand generation, and lead management processes hinge on a modern strategy closely aligned to buyer needs and expectations across all phases of the buying process. Using a wide spectrum of digital channels, today’s buyers employ an extensive network of tools and resources to make the most informed purchase decisions. The Modern Marketing era is driven by the self-educated buyer who marketers must engage to achieve a relevant, targeted, and value-based customer experience. Marketers are increasingly enhancing their understanding of how data can fuel the delivery of meaningful interactions. This access to vast sources of information that marketers are applying to execute and achieve more refined marketing simply can’t be gleaned manually.
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Oracle OMC
Published By: Mimecast ABM Q4     Published Date: Nov 22, 2017
Mimecast Cloud Archive has long set the industry standard for enterprise information archiving, helping to keep corporate knowledge available, protecting and preserving it while simplifying management and administration. By aggregating data across multiple platforms, organizations gain long-term business insights and create a secure, digital corporate memory while at the same time reducing costs and risks for legal and compliance teams. IT teams can reduce administrative overhead with streamlined management and simplified data recovery. Anytime, anywhere access to archive data improves employee productivity and efficient workflow efficiency. Customers can rest assured that their data is always-available, always-replicated and always-safe.
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datenarchivierung, verantwortlich, eigentlich, organisation, it-mitarbeitern, wissensarbeiter, fuhrungsebene
    
Mimecast ABM Q4
Published By: Epicor     Published Date: Aug 02, 2012
Risk-averse distributors may feel that the safest and simplest IT strategy is to stay with their existing "homegrown" enterprise resource planning (ERP) solution. But just as sticking your money under the mattress offers no protection against inflation, maintaining an outdated system can rob you of a distinct competitive advantage. Modern ERP systems offer so much more in terms of data access, technology advances, and standard operating procedures. And obtaining a solution from a leading ERP provider ensures that industry best practices and the experiences of other distributors and end users have been built in. Check out this new paper and learn more about the advantages of an integrated ERP over your homegrown system.
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white paper, homegrown, erp software, erp software solution, data management, data quality, data duplication, data knowledge, business technology
    
Epicor
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
    
Red Hat, Inc.
Published By: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
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: NetIQ     Published Date: Nov 05, 2012
The broad adoption of SIEM technology is driven by security and compliance needs. Targeted attack discovery requires effective user activity, data access and application activity monitoring. Vendors are testing demand for broader-scope solutions.
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siem technology, threat management, security management, enterprise security, compliance, security, business technology, research
    
NetIQ
Published By: Frontrange     Published Date: Mar 13, 2013
Data is now accessed via physical and virtual desktops, laptops and mobile devices. IT organizations struggle to control and manage this widening pool of devices. View this Computerworld Survey to better understand the solutions to these challenges.
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it service management, itsm, service desk, service catalog, service management software, mobile service management, cloud itsm, service manager, help desk software, hybrid it service management, heat help desk, client management, network discovery software, software audit, pc hardware inventory software, hardware software inventory, hardware inventory, pc hardware inventory, audit service level agreement, network inventory
    
Frontrange
Published By: Epicor     Published Date: Jun 22, 2017
Professionals in the lumber and building materials (LBM) industry know that getting the job done right is all about having the right tools. Lumber and business materials manufacturers and distributors need intuitive software that’s smart enough to simplify the complexities of your business, leverage data to gain valuable sales insight, and deliver exceptional customer service. Epicor BisTrack software is uniquely optimized to help LBM retailers, pro dealers, and distributors grow your business. Learn about the LBM industry-specific functionality that BisTrack offers, like: • Supporting pro dealers and distributors • Optimizing inventory and purchasing • Managing and tracking customer relationships • Improving delivery dispatch efficiency • Introducing mobility and mobile access Take the tour today to see how Epicor BisTrack can help your business.
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lumber, building materials, lbm, erp, bistrack, building materials distributors, lumber distributors, lumber manufacturers
    
Epicor
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