analysis

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Published By: Stardog Union     Published Date: Jul 27, 2018
When enterprises consider the benefits of data analysis, what's often overlooked is the challenge of data variety, and that most successful outcomes are driven by it. Yet businesses are still struggling with how to query distributed, heterogeneous data using a unified data model. Fortunately, Knowledge Graphs provide a schema flexible solution based on modular, extensible data models that evolve over time to create a truly unified solution. How is this possible? Download and discover: • Why businesses should organize information using nodes and edges instead of rows, columns and tables • Why schema free and schema rigid solutions eventually prove to be impractical • The three categories of data diversity including semantic and structural variety
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Stardog Union
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: 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: 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: 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: 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: 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: Zendesk     Published Date: Jun 29, 2018
In the global market for customer service software, Zendesk is once again recognized as a leader in the 2018 Gartner Magic Quadrant for the CRM Customer Engagement Center. Every year, Gartner conducts a thorough analysis of service providers in the customer service and support application space. We believe the Gartner Magic Quadrant for the CRM Customer Engagement Center report provides valuable information for business leaders who seek technology solutions for interacting and engaging with their customers. Zendesk can again be found in the 2018 report’s Leader quadrant, which we consider a reflection of the success of our 125,000 customers, including enterprise clients like Airbnb, Tesco, and the University of Tennessee. The past year alone has included a number of significant milestones for us, including the release of AI-enhanced features for self-service and surpassing $500 million run rate in revenue. As our customer base continues to grow, we strive to be a dynamic vendor for bus
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Zendesk
Published By: Akamai Technologies     Published Date: Jun 14, 2018
"A zero trust security and access model is the solution: Every machine, user, and server should be untrusted until proven otherwise. But how do you achieve zero trust? Read this white paper authored by Akamai’s CTO, Charlie Gero, to learn how to transition to a perimeter-less world in an incredibly easy way, with steps including: • The zero trust method of proof • The vision behind Google BeyondCorpTM • Analysis of application access vs. network access • How to deploy user grouping methodology • Guidance for application rollout stages 1-8"
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security, perimeter security, zero trust, cloud, enterprise security
    
Akamai Technologies
Published By: Infosys     Published Date: Jun 28, 2018
The 2018 HfS ServiceNow Services Blueprint continues our theme of looking at the services ecosystems of leading Software-as-a-Service platforms. Unlike other quadrants and matrices, the HfS Blueprint identifies relevant differentials between service providers across a number of facets under two main categories: innovation and execution.
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provider, analysis, digital, automation, standardization
    
Infosys
Published By: Workday     Published Date: May 09, 2018
Wellesley College has a lot of success stories to share following its strategic deployment of Workday. Increased internal adoption and collaboration between finance and HR are just the start of a long list of benefits the college now enjoys. Watch the webinar replay with Wellesley’s Ravi Ravishanker, CIO and associate provost; Nephellie Dobie, director of Project Management and Business Analysis; and Veronica Brandstrader, associate CIO, to learn about its: • Evaluation and deployment • Technology transformation • Benefits realized • Lessons learned
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Workday
Published By: Workday     Published Date: Jun 15, 2018
Looking for a trusted partner in financial management who has what it takes to lead your organization today and into the future? Get an analysis of the market, key recommendations for evaluating vendors, and more. Download your complimentary copy of Gartner Magic Quadrant for Cloud Core Financial Management Suites.
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finance, management, gartner, cloud
    
Workday
Published By: IBM     Published Date: Jun 04, 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: Jun 04, 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: IBM     Published Date: May 30, 2018
AI is the future of SIEM - More than 50%of enterprises expect to use SIEM with AI by the end of 2018
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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: HireVue     Published Date: May 16, 2018
OVERVIEW Unilever is a global player in the fast-moving consumer goods (FMCG) sector, with nearly a third of the world’s population using its products every day. The company has more than 169,000 employees working around the world, and its leaders estimate that within three years, as many as 60 percent of those employees will be Millennials. Critical to Unilever’s ongoing success will be its ability to attract these recent college graduates. For its signature Future Leaders Programme, the company wanted its recruitment efforts to get ahead of the curve. The existing process was rooted in paper-based applications, phone interviews with recruiters, and manual assessment tests. It took four to six months to sift through 250,000 applications and ultimately hire 800 individuals. The company sought to radically transform this process using online gamification, digitally recorded interviews, and science-based assessment tests and data analysis. In this case study, we: • Explain the chal
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HireVue
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