capabilities

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Published By: Alation     Published Date: Jan 06, 2017
90% of the time that is spent creating new reports is recreating information that already exists. Without a way to effectively share prior work and identify verified data sources, analysts and other data consumers lack shared context on how to apply data to analytic inquiries and business decision making. Time is wasted tracking down subject matter experts and trying to unearth tribal knowledge. Leading analytic organizations in retail, healthcare, financial services and technology are using data catalogs to help their analysts find, understand and use data appropriately. What are the 5 critical capabilities of a data catalog? Learn more here:
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Alation
Published By: Alation     Published Date: Jan 06, 2017
90% of the time that is spent creating new reports is recreating information that already exists. Without a way to effectively share prior work and identify verified data sources, analysts and other data consumers lack shared context on how to apply data to analytic inquiries and business decision making. Time is wasted tracking down subject matter experts and trying to unearth tribal knowledge. Leading analytic organizations in retail, healthcare, financial services and technology are using data catalogs to help their analysts find, understand and use data appropriately. What are the 5 critical capabilities of a data catalog? Learn more here:
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Alation
Published By: TopQuadrant     Published Date: Mar 21, 2015
Data management is becoming more and more central to the business model of enterprises. The time when data was looked at as little more than the byproduct of automation is long gone, and today we see enterprises vigorously engaged in trying to unlock maximum value from their data, even to the extent of directly monetizing it. Yet, many of these efforts are hampered by immature data governance and management practices stemming from a legacy that did not pay much attention to data. Part of this problem is a failure to understand that there are different types of data, and each type of data has its own special characteristics, challenges and concerns. Reference data is a special type of data. It is essentially codes whose basic job is to turn other data into meaningful business information and to provide an informational context for the wider world in which the enterprise functions. This paper discusses the challenges associated with implementing a reference data management solution and the essential components of any vision for the governance and management of reference data. It covers the following topics in some detail: · What is reference data? · Why is reference data management important? · What are the challenges of reference data management? · What are some best practices for the governance and management of reference data? · What capabilities should you look for in a reference data solution?
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data management, data, reference data, reference data management, top quadrant, malcolm chisholm
    
TopQuadrant
Published By: CMMI Institute     Published Date: Sep 03, 2014
To drive strategic insights that lead to competitive advantage, businesses must make the best and smartest use of today’s vast amount of data. To accomplish this, organizations need to apply a collaborative approach to optimizing their data assets. For organizations that seek to evaluate and improve their data management practices, CMMI® Institute has developed the Data Management Maturity (DMM)? model to bridge the perspective gap between business and IT. Download the white paper Why is Measurement of Data Management Maturity Important? to enable you to: - Empower your executives to make better and faster decisions using a strategic view of their data. - Achieve the elusive alignment and agreement between the business and IT - Create a clear path to increasing capabilities
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white paper, enterprise data management, data model, data modeling, data maturity model, cmmi institute
    
CMMI Institute
Published By: CMMI Institute     Published Date: Mar 21, 2016
CMMI Institute®’s Data Management Maturity (DMM)SM framework enables organizations to improve data management practices across the full spectrum of their business. It is a unique, comprehensive reference model that provides organizations with a standard set of best practices to assess their capabilities, strengthen their data management program, and develop a custom roadmap for improvements that align with their business goals.
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CMMI Institute
Published By: AnalytixDS     Published Date: May 09, 2016
This paper seeks to provide insight into how AnalytiX Data Services can address many of the data related issues that come with combining disparate source data as is often the case in mergers and acquisitions. It will cover some of the best features and functionality offered by AnalytiX Data Services’ flagship product AnalytiX Mapping Manager, which have specific capabilities that are of high value in this scenario.
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AnalytixDS
Published By: Reltio     Published Date: Aug 11, 2017
"Forrester's research uncovered a market in which Reltio [and other companies] lead the pack,” the Forrester Wave Master Data Management, 2016 states. "Leaders demonstrated extensive and MDM capabilities for sophisticated master data scenarios, large complex ecosystems, and data governance to deliver enterprise-scale business value.”
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Reltio
Published By: Reltio     Published Date: May 22, 2018
"Forrester's research uncovered a market in which Reltio [and other companies] lead the pack,” the Forrester Wave Master Data Management states. "Leaders demonstrated extensive and MDM capabilities for sophisticated master data scenarios, large complex ecosystems, and data governance to deliver enterprise-scale business value.” Reltio executes the vision for next-generation MDM by converging trusted data management with business insight solutions at scale and in the cloud. Machine learning and graph technology capabilities enable a contextual data model while also maintaining temporal and lineage changes of the master data.
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Reltio
Published By: Reltio     Published Date: Nov 16, 2018
Big data is growing faster than the capabilities available to manage and analyze it. Get this vendor comparison to learn how a modern master data management platform will help you to achieve better outcomes.
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Reltio
Published By: Semarchy     Published Date: Feb 12, 2018
This whitepaper covers a recently completed a ground-breaking industry wide survey of executives, architects, and business stakeholders from data-driven organizations by Enterprise Management Research in order to explore the growing role of the CDO, and to explore the various data management maturity levels of enterprise companies. This whitepaper explains how industry visionaries use data as an asset, and discusses the growing importance of data governance leadership. Additionally, it creates a data management maturity index to show how various companies match-up in their data management vision and capabilities. Finally, the whitepaper covers the top data-focused applications used and their average implementation timelines.
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Semarchy
Published By: Deloitte Process Robotics     Published Date: May 04, 2018
Deloitte Process Robotics (DPR) solutions use a lightweight approach to train ‘bots’ that automate repetitive tasks of medium complexity without changes to existing process or IT infrastructure. With ever-growing repositories of unanalyzed and underutilized data, organizations require highly flexible and scalable enterprise data management (EDM) processes, DPR makes it possible for organizations to adopt comprehensive yet affordable EDM processes in the Big Data Era, helping organizations transform data into strategic assets through the automation of capabilities.
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Deloitte Process Robotics
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: graphgrid     Published Date: Oct 02, 2018
Whether it’s for a specific application, optimizing your existing operations, or innovating new customer services, graph databases are a powerful technology that turn accessing and analyzing your data into a competitive advantage. Graph databases resolve the Big Data limitations and free up data architects and developers to build amazing solutions that predict behaviors, enable data driven decisions and make insightful recommendations. Yet just as cars aren’t functional with only engines, graph databases require surrounding capabilities including ingesting multi-source data, building data models that are unique to your business needs, ease of data interaction and visualization, seamless co-existence with legacy systems, high performance search capabilities, and integration of data analysis applications. Collectively, this comprehensive data platform turns graph capabilities into tangible insights that drive your business forward.
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graphgrid
Published By: EnterpriseDB     Published Date: Sep 02, 2014
This technical paper from EnterpriseDB reviews and illustrates Postgres’ NoSQL capabilities in the context of Postgres’ robust relational competencies. It describes performance tests that demonstrate that Postgres is a superior platform for handling most NoSQL workloads.
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white paper, nosql, database, enterprisedb, postgres
    
EnterpriseDB
Published By: Adaptive     Published Date: Jan 24, 2013
Data Governance and Metadata Management are two closely associated Data Management Capabilities which organizations must address in order to truly turn their data into Information Assets.
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data, data management, data governance, metadata, adaptive, dataversity, white paper
    
Adaptive
Published By: Cisco     Published Date: Jan 02, 2019
The network is the foundation of robust security, and the critical network security element is the firewall. For that reason, Cisco has been committed to delivering a next-generation firewall that can stop threats at the edge and focus on security efficacy. Those efforts are paying off in substantial momentum, and market observers are taking note. Cisco has been named a leader in the 2018 Gartner Magic Quadrant for Enterprise Network Firewalls. Beginning with our world-class threat-intelligence organization, Talos - the Cisco NGFW stands out from the competition. It goes beyond prevention and gives visibility into potentially malicious file activity across users, hosts, networks, and infrastructure. It saves you time and enables automation using our integrated architecture. No other firewall vendor have the strength and breadth of networking and security capabilities that Cisco offers. Learn More about it by downloading Gartner’s 2018 Magic Quadrant for Enterprise Network Firewalls.
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security, enterprise network, firewall, cisco, gartner, magic quadrant
    
Cisco
Published By: Dell     Published Date: Nov 02, 2018
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud disaster recovery offers new options for these organizations—they can optimize their data protection economics by integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with clear economic and operational benefits.
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Dell
Published By: HERE Technologies     Published Date: Dec 05, 2018
Discover the four big trends in fleet management being powered by location services. Trends to help you differentiate your solutions and enable transportation companies to overcome their logistical challenges and increase asset utilization. Discover what’s making the biggest impact, together with how, by integrating some of these trends into your solutions, you can position yourself as the service provider of choice in fleet and transportation management solutions. And find out how HERE is delivering features, from comprehensive mapping capabilities and real-time location data, to truck-specific attributes, to help you do just that. Download the eBook now
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location data, transport & logistics, location services
    
HERE Technologies
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption
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TIBCO Software GmbH
Published By: Rubrik EMEA     Published Date: Jan 04, 2019
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubrik’s Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance. DATA
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Rubrik EMEA
Published By: Dell     Published Date: Nov 12, 2018
IT professionals need tools that make the never-ending log of tasks they face daily, more manageable. While tools like Intel® Active Management Technology (AMT), which is part of the set of Intel vPro™ technologies, can improve management capabilities, learning the software can take time. Download this report today to learn how Dell Client Command Suite can lessen the administrative burden and help your admins maximize their daily productivity.
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Dell
Published By: Fortinet EMEA     Published Date: Dec 11, 2018
If you’re dealing with the high cost and complexities of delivering reliable wide area connectivity over traditional carrier-based networks, you’re probably considering some form of software-defined wide area networking (SD-WAN). With the variety of constraints that you face, selecting the right SD-WAN solution for your enterprise may require a few compromises. Security, however, should not be one of them. There are various models for combining SD-WAN and network security, but only one that can truly be called “secure SD-WAN.” Fortinet, the most trusted name in network security, has leveraged its industry-leading FortiGate Next Generation Firewall (NGFW) to deliver integrated best-of-breed SD-WAN capabilities. Powered by the new FortiOS 6.0 operating system, SD-WANenabled FortiGate solutions provide the right level of service for every application, while ensuring effective protection from advanced evolving threats across your distributed enterprise.
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Fortinet EMEA
Published By: Intel     Published Date: Dec 13, 2018
Robots play a key role in achieving manufacturing efficiencies and reducing labor intensive operations across diverse industries. Traditional machine vision has its limitations, however—typically, it can only conduct defect detection and classification based on fixed rules and work in fixed environments. To add on, the complexity of robotic system design poses challenges for many manufacturers to identify and integrate subsystems from multiple vendors. The future of robot and machine solutions is a production environment where devices, machines, robots, and sensors are interoperable. Find out how NexCOBOT integrates AI-driven vision capabilities into robotics to improve quality and accuracy over traditional machine vision—as well as providing an open and modular solution for users to develop a robot control system that best fits their particular application requirements.
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Intel
Published By: Intel     Published Date: Dec 13, 2018
Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult. Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes. Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.
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Intel
Published By: AWS     Published Date: Dec 19, 2018
There is no doubt that customers want to protect their environment against unplanned downtime. But what happens when disasters do occur? Download this webinar for a deep dive into the VMware Cloud on AWS Disaster Recovery (DR) use case. Experts from VMware and AWS jointly discuss the disaster recovery challenges that customers often face and detail how you can leverage VMware Cloud on AWS to overcome them. See demos of how you can use VMware Cloud on AWS for your DR scenario and hear from current customers. Download our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection How automated orchestration accelerates failover and failback capabilities The ways DRaaS simplifies and modernizes your existing DR solutions What VMware Cloud on AWS DRaaS does to help reduce costs, simplify operations, and quicken recovery times
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AWS
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