analysis

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Published By: DATAVERSITY     Published Date: Oct 04, 2016
This report evaluates each question posed in a recent survey and provides subsequent analysis in a detailed format that includes the most noteworthy statistics, direct comments from survey respondents, and the influence on the industry as a whole. It seeks to present readers with a thorough review of the state of Metadata Management as it exists today.
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DATAVERSITY
Published By: Ted Hills     Published Date: Mar 08, 2017
This paper explores the differences between three situations that appear on the surface to be very similar: a data attribute that may occur zero or one times, a data attribute that is optional, and a data attribute whose value may be unknown. It shows how each of these different situations is represented in Concept and Object Modeling Notation (COMN, pronounced “common”). The theory behind the analysis is explained in greater detail by three papers: Three-Valued Logic, A Systematic Solution to Handling Unknown Data in Databases, and An Approach to Representing Non-Applicable Data in Relational Databases.
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Ted Hills
Published By: Alation     Published Date: Mar 26, 2018
When analysts and data scientists have access to data governance policies and best practices directly within the flow of their analysis, the result is both more consistent compliance and more broadly adopted best practices. With the combination of Tableau and Alation, organizations can not only balance the demands of agility and governance, they can actually optimize for both at the same time. We call this Governance for Insight. Learn more about how Tableau users can have the best of worlds - agility and governance. Read Enabling Governance for Insight: Trust in Data with Tableau and Alation’s Data Catalogs. Register on the right to access a complimentary copy of this joint white paper from Tableau and Alation.
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Alation
Published By: Converseon     Published Date: Apr 02, 2018
Separating signals from noisy social listening data has long been a problem for data scientists. Poor precision due to slag, sarcasm and implicit meaning has often made it too challenging to effectively model. Today, however, new approaches that leverage active machine learning are rapidly over taking aging rules-based techniques and opening up use of this data in new and important ways. This paper provides some detail on the evolution of text analysis including current best practices and how AI can be used by data scientists to use this data for meaningful analysis.
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Converseon
Published By: DATAVERSITY     Published Date: May 25, 2014
Deconstructing NoSQL: Analysis of a 2013 Survey on the Use, Production, and Assessment of NoSQL Technologies in the Enterprise This report examines the non-relational database environment from the viewpoints of those within the industry–whether current or future adopters, consultants, developers, business analysts, vendors, or others. This paper is sponsored by: MarkLogic, Cloudant and Neo4j.
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research paper, analysis, nosql, database, nosql database, white paper, nosql white paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Oct 12, 2017
The foundation of this report is a survey conducted by DATAVERSITY® that included a range of different question types and topics on the current state of Data Architecture. The report evaluates the topic through a discussion and analysis of each presented survey question, as well as a deeper examination of the present and future trends.
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DATAVERSITY
Published By: CA Technologies     Published Date: Apr 24, 2013
Using ERwin Data Modeler & Microsoft SQL Azure to Move Data to the Cloud within the DaaS Lifecycle by Nuccio Piscopo Cloud computing is one of the major growth areas in the world of IT. This article provides an analysis of how to apply the DaaS (Database as a Service) lifecycle working with ERwin and the SQL Azure platform. It should help enterprises to obtain the benefits of DaaS and take advantage of its potential for improvement and transformation of data models in the Cloud. The use case introduced identifies key actions, requirements and practices that can support activities to help formulate a plan for successfully moving data to the Cloud.
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CA Technologies
Published By: MemSQL     Published Date: Jun 25, 2014
Emerging business innovations focused on realizing quick business value on new and growing data sources require “hybrid transactional and analytical processing” (HTAP), the notion of performing analysis on data directly in an operational data store. While this is not a new idea, Gartner reports that the potential for HTAP has not been fully realized due to technology limitations and inertia in IT departments. MemSQL offers a unique combination of performance, flexibility, and ease of use that allows companies to implement HTAP to power their business applications.
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MemSQL
Published By: Skytree     Published Date: Nov 23, 2014
Critical business information is often in the form of unstructured and semi-structured data that can be hard or impossible to interpret with legacy systems. In this brief, discover how you can use machine learning to analyze both unstructured text data and semi- structured log data, providing you with the insights needed to achieve your business goals.
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log data, machine learning, natural language, nlp, natural language processing, skytree, unstructured data, semi-structured data, data analysis
    
Skytree
Published By: Data Ninja     Published Date: Apr 16, 2017
By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. Text is a part of all communication channels from social media, documents, logs, and data bases. In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.
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Data Ninja
Published By: Alteryx     Published Date: May 24, 2017
Spreadsheets are a mainstay in almost every organization. They are a great way to calculate and manipulate numeric data to make decisions. Unfortunately, as organizations grow, so does the data, and relying on spreadsheet-based tools like Excel for heavy data preparation, blending and analysis can be cumbersome and unreliable. Alteryx, Inc. is a leader in self-service data analytics and provides analysts with the ability to easily prep, blend, and analyze all data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. This paper highlights how transitioning from a spreadsheet-based environment to an Alteryx workflow approach can help analyst better understand their data, improve consistency, and operationalize analytics through a flexible deployment and consumption environment.
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Alteryx
Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Nov 11, 2013
This report investigates the level of Information Architecture (IA) implementation and usage at the enterprise level. The primary support for the report is an analysis of a 2013 DATAVERSITY™ survey on Data and Information Architecture. This paper is sponsored by: HP, Vertica, Denodo, Embarcadero and CA Technologies.
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information architecture, data architecture, white paper, mdm, master data management, data, data management, enterprise information management, enterprise data management, data virtualization, metadata, data modeling, research paper, survey, data integration
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
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research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: APC by Schneider Electric     Published Date: Apr 16, 2018
"Institute of Electrical and Electronics Engineers (IEEE) standard 1584 has been the de facto standard for calculating the arc energy levels at different points in a power system. However, NFPA 70E provides the option of using the Arc Flash Hazard PPE Category task tables for PPE selection. Which is right for you, and what do you need to know about each option? Find answers in our white paper, which describes how both types of analysis systems work and how to be sure you are using the tables correctly."
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arc flash, nfpa 70e compliance, ieee, electrical workplace safety, arc flash risk assessment, arc flash analysis, arc flash mitigation, solutions, ppe, tables, arc flash hazard, osha, electrical safety
    
APC by Schneider Electric
Published By: Genesys     Published Date: Feb 21, 2018
The 2017 Magic Quadrant provides Gartner’s annual analysis of the contact center infrastructure vendors. The report examines the innovations driving the market and compares vendors based on completeness of vision and ability to execute. Get the complimentary report now to: • Compare contact center vendors and see which quadrant they are aligned to • Review the latest market outlook including on premise and cloud deployment choices • Learn what critical capabilities to consider when evaluating solutions and legacy system replacement For the ninth year, we are honored to be positioned as a leader in the 2017 Gartner Magic Quadrant for Contact Center Infrastructure, Worldwide. Gartner placed Genesys highest amongst all vendors in ability to execute and completeness of vision. We believe this unique position validates our mission to power the world’s best customer engagement solutions for organizations of all sizes, both in the cloud and on premise.
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gartner, contact center, infrastructure, magic quadrant
    
Genesys
Published By: Genesys     Published Date: Feb 22, 2018
Get Gartner’s Complete Analysis of The 2017 Magic Quadrant provides Gartner’s annual analysis of the contact center infrastructure vendors. The report examines the innovations driving the market and compares vendors based on completeness of vision and ability to execute. Get the complimentary report now to: • Compare contact center vendors and see which quadrant they are aligned to • Review the latest market outlook including on premise and cloud deployment choices • Learn what critical capabilities to consider when evaluating solutions and legacy system replacement For the ninth year, we are honored to be positioned as a leader in the 2017 Gartner Magic Quadrant for Contact Center Infrastructure, Worldwide. Gartner placed Genesys highest amongst all vendors in ability to execute and completeness of vision. We believe this unique position validates our mission to power the world’s best customer engagement solutions for organizations of all sizes, both in the cloud and on premise.
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gartner, contact center, infrastructure, magic quadrant
    
Genesys
Published By: IBM     Published Date: May 15, 2018
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust. Watch this webinar to learn: • How you can more effectively communicate with data. • What constitutes an intuitive and highly navigable report • How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time. • Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
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data analysis, data analytics, dashboards
    
IBM
Published By: IBM     Published Date: May 15, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: LogMeIn     Published Date: Feb 27, 2018
Most customer engagement solutions on the market require complex data analysis and months of implementation before you start seeing results. But Bold360 ai uses Natural Language Understanding to start learning your customers’ needs from the very first interaction. Its smart routing capability directs customers to the best resource available, and captures data in an intuitive dashboard. Start seeing results now with Bold360 ai.
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bold360, engagement, customer, market, data, analysis
    
LogMeIn
Published By: NetApp     Published Date: Mar 06, 2018
This Gartner Report on an effective hyperconvergence strategy includes their research findings and recommendations. It also includes a deep dive analysis of key determinants in a hyperconverged solution decision. For more information, please view our privacy policy here.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Dassault Systèmes     Published Date: May 09, 2018
Today’s thriving High-Tech sector is driven by shrinking product lifecycles, rapid innovation, distributed engineering/manufacturing—and highly demanding customer expectations. The industry needs to deliver on multiple fronts, including: • Embed customer-centric innovation throughout the lifecycle: Only with customer experience at the core can companies stay ahead. • Tame ideas into executable products: Detecting early trends and using customer feedback is vital. • Manage complexity better: Increasing visibility of all product data helps build and manage digital models to use in every business function from R&D to field service. • Create relevant connected systems: High-Tech innovators use IoT for an ongoing dialogue of customers, devices and manufacturers. • Provide agility to compete on software, hardware and service: Customers want value from every interaction. Download your targeted industry analysis to learn more.
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: May 09, 2018
Technology is transforming mobility and vehicle ownership. To be a game-changer in the transportation and mobility market, organizations must anticipate customer expectations and deliver compelling experiences. • Help my customers experience the future: Digitization, VR and interactive experiences show consumers benefits before they are on the road. • Give my customers enhanced levels of customization: Vehicle personalization transforms a product purchase to a multi-dimensional experience. • Streamline my product development processes: Innovation increases product diversity while reducing development time and costs. • Keep me up to speed with new mobility solutions: Organizations must be open to change in imagining how to go from point A to B. • Prepare me for the shift to Mobility as a Service: MaaS is already affecting transportation and pressuring margins for conventional car manufacturers. I invite you to download your targeted industry analysis and uncover the expectations to tak
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: May 09, 2018
More connected, informed and demanding customers have the financial services sector looking closely at their processes and products. Collaborative digital platforms can transform your value network and approach. • Improve data insights: Transform legacy systems, manual processes and data silos for consumer-centric collaboration. • Compete with agile FinTech startups: Use disruptive technologies to meet clients’ changing needs. • Empower me to make my own decisions: Give self-directed customers exceptional experiences, like rapid enrolment and self-assessment tools. • Turn regulatory compliance to competitive advantage: Use digitization to improve compliance, reduce risk and enhance governance. • Improve customer experience through digitization: Reduce regulatory issues, gain insights, increase efficiency and customer-centric innovation. I invite you to download your targeted industry analysis and uncover the expectations to take into account at every stage to be disruptive in the age o
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Dassault Systèmes
Published By: Dassault Systèmes     Published Date: May 09, 2018
Tight schedules, cost challenges and lack of visibility can strain relationships in the Architecture, Engineering and Construction (AEC) market. As new technologies raise owner expectations, you need to respond rapidly to customer needs with on-target solutions. You need to know how to anticipate and exceed owners’ expectations. You need to deliver on multiple fronts, including: • Be a partner not just a supplier: Owners are looking for irreplaceable partners who transparently deliver value. • Achieve more predictable outcomes: Partnerships build from developing plans, mitigating risks and delivering. • Deliver on time and on budget: Firms must meet expectations precisely and avoid costly waste and delays. • Be involved from day one: Owners now expect visibility and involvement across the project. • Deliver something unexpected: AEC firms need to deliver unique, surprising solutions. Download your targeted industry analysis to learn more.
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Dassault Systèmes
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