data access

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Published By: OneLogin     Published Date: Oct 24, 2017
In this ebook, we dive into how identity management streamlines access to the cloud while protecting corporate data. The location of many resources is changing to the cloud, yet companies still need central management of those resources. Trying to maintain security and order in a chaotic free-for-all use of cloud apps and bring-your-own-device culture is like a black hole sucking in IT’s time—time they could be dedicating to other projects. OneLogin’s cloud identity management platform spans the entire application portfolio with secure single sign-on (SSO), multi-factor authentication (MFA), user provisioning, integration with common directory infrastructures such as Active Directory (AD), Lightweight Directory Access Protocol (LDAP), and various cloud directories, and more. We recommend the following: • IT departments leverage OneLogin for all their identity management needs • IT departments educate users about security and safe sharing • App owners enable Security Assertion M
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OneLogin
Published By: OneLogin     Published Date: Oct 24, 2017
SaaS has fundamentally changed security requirements. We used to just go into work, and everything—corporate applications, sensitive customer data, employee health records, etc.—was within the “safe” four walls of the corporate network behind a firewall. Now employees work remotely and use mobile devices, including unmanaged, personal devices. They access SaaS apps that live in the cloud without any sort of firewall that IT can use to monitor and manage access. Prominent examples include Salesforce.com, Google Apps, Office 365, Box, and many others. As employees use these SaaS apps, they are creating proprietary company data, often confidential in nature, that exists outside the control of IT, creating new challenges for security teams. In this new world, IT needs to track sensitive corporate data in third-party SaaS apps, and ensure that only the right people have the right level of access to it. In this whitepaper, we’ll explain ten steps on how to do that
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OneLogin
Published By: OneLogin     Published Date: Oct 24, 2017
Corporate data spreads across an ever-growing number of applications. Users (employees, contractors, partners, and customers) access those applications over a wide range of devices. Those devices take different forms: desktops, laptops, tablets, smartphones, smartwatches. Each device may use a different operating system. The locations from where people access your data can be on-premises or off, and in any number of places around the globe. Data, users, apps, devices, locations—the sheer number of permutations and combinations is mind-boggling. This complex nature of today’s IT environment opens security gaps and exposes your business to undue risk. To illustrate, try to envision all the permutations and possible entry points for risk in your organization. Imagine that you have 400 users, each using 25 apps. When you multiply those together, that’s 10,000 potential access permissions to manage. Access permissions change as users come and go, roles change, new apps are added, and
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OneLogin
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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IBM
Published By: Group M_IBM Q418     Published Date: Oct 23, 2018
The EU General Data Protection Regulation (GDPR) has arrived. Every company doing business with European customers — regardless of location — must make considerable governance, people, process, and technology changes to comply with the new rules. While companies have made progress, more work remains. To succeed, they must tackle key challenges, including data identification, mapping, and access management. Despite the work ahead, forward-looking businesses understand GDPR is an opportunity. This is a transformation for a data-savvy world, with the potential to yield enhanced customer and business benefits. Investment in solutions with data privacy, security, and compliance offerings that can protect data no matter where it’s stored — on-premises and in the cloud — can ease companies along their readiness journeys and help them achieve and sustain compliance from May 25, 2018, and onward
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Group M_IBM Q418
Published By: Group M_IBM Q418     Published Date: Nov 07, 2018
IT endpoint management used to be an easier game: Managers deployed user systems with custom images when employees were hired, and employees returned them on their last day at work. Even during deployment, users had minimal abilities to impact systems and devices that were centrally managed. Servers resided in physical data centers where they could be identified and accessed. Those were the days!
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Group M_IBM Q418
Published By: Group M_IBM Q418     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 pla
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Group M_IBM Q418
Published By: ServiceNow     Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees. Download this case study to learn more
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nucleus, research, worldpay, servicenow
    
ServiceNow
Published By: TIBCO Software     Published Date: Aug 13, 2018
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled application
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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: 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 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: 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: 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 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: 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
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