data knowledge

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Published By: Stardog Union     Published Date: Mar 13, 2019
Enterprises must transition to contextualizing their data instead of just collecting it in order to fully leverage their data as a strategic asset. Existing data management solutions such as databases and data lakes encourage data sprawl and duplication. However, true data unification can be achieved with a Knowledge Graph, which seamlessly layers on top of your existing data infrastructure to reveal the interrelationships in your data, no matter its source or format. The Knowledge Graph is also a highly scalable solution since it retains every analysis performed as a reusable asset -- drastically reducing the need for data wrangling over time. Download Knowledge Graphs 101 to learn how this technology differs from a graph database, how it compares to MDM and data lake solutions, and how to leverage artificial intelligence and machine learning within a Knowledge Graphs.
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Stardog Union
Published By: CA Technologies     Published Date: Oct 22, 2015
As the interest in managing information and enforcing corporate data management policies increases, data governance programs to manage data sets are becoming more and more vital to the business operation. However, in this rush for data governance programs, sometimes the true utility and importance of metadata can be missed. In this white paper, David Loshin of Knowledge Integrity, Inc. discusses the importance of data governance and the role of metadata management as a way to empower data governance and enforce data policies.
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white paper, metadata, data management, data modeling, david loshin, data governance, data governance strategy
    
CA Technologies
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: 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: Embarcadero     Published Date: Jan 23, 2015
There are multiple considerations for collaborating on metadata within an organization, and you need a good metadata strategy to define and manage the right processes for a successful implementation. In this white paper, David Loshin describes how to enhance enterprise knowledge sharing by using collaborative metadata for structure, content, and semantics.
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data, data management, metadata, enterprise information management, data modeling, embarcadero
    
Embarcadero
Published By: TopQuadrant     Published Date: Jun 11, 2018
Data governance is a lifecycle-centric asset management activity. To understand and realize the value of data assets, it is necessary to capture information about them (their metadata) in the connected way. Capturing the meaning and context of diverse enterprise data in connection to all assets in the enterprise ecosystem is foundational to effective data governance. Therefore, a data governance environment must represent assets and their role in the enterprise using an open, extensible and “smart” approach. Knowledge graphs are the most viable and powerful way to do this. This short paper outlines how knowledge graphs are flexible, evolvable, semantic and intelligent. It is these characteristics that enable them to: • capture the description of data as an interconnected set of information that meaningfully bridges enterprise metadata silos. • deliver integrated data governance by addressing all three aspects of data governance — Executive Governance, Representative Governance, and App
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TopQuadrant
Published By: GBG Loqate     Published Date: Jul 09, 2015
Businesses are vulnerable when they assume that their data is accurate, because they are almost always losing money without their knowledge. When it comes to data quality, the problems that you don’t suspect are often worse and more pervasive than the ones you are aware of. Addresses are subject to their own specific set of rules. Detecting and correcting address errors is a complex problem, and one that can only be solved with specialized software.
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data, data management, data quality, loqate
    
GBG Loqate
Published By: Silwood Technology     Published Date: Mar 02, 2016
Ever since organisations started to implement packaged software solutions to solve business problems and streamline their processes there has been a need to access their data for the purposes of reporting and analytics, integration, governance, master data and more. Information Management projects such as these rely on data professionals being able to understand the underlying data models for these packages in order to be able to answer the critical question “Where’s the data?”. Without this knowledge it is impossible to ensure accuracy of data or timely delivery of projects. In addition the lack of discovery tools designed to meet this challenge has meant that performing this task has commonly been frustrating, time-consuming and fraught with risk. This white paper offers insight into why the traditional methods are not effective and how an innovative software product from Silwood Technology provides a faster and more effective approach to solving the problem.
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Silwood Technology
Published By: Alation     Published Date: Mar 15, 2016
curation (noun): The act of organizing and maintaining a collection (such as artworks, artifacts, or data). Data curation is emerging as a technique to support data governance, especially in data-driven organizations. As self-service data visualization tools have taken off, sharing the nuances and best practices of how to use data becomes ever more critical. Analysts at companies from eBay to Safeway and Square are scaling their data knowledge through curation techniques. What are the 4 steps to successful data curation? Find out here:
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data stewardship, self-service analytics, data curation, data governance
    
Alation
Published By: GBG Loqate     Published Date: Jul 09, 2015
Businesses are vulnerable when they assume that their data is accurate, because they are almost always losing money without their knowledge. When it comes to data quality, the problems that you don’t suspect are often worse and more pervasive than the ones you are aware of. Addresses are subject to their own specific set of rules. Detecting and correcting address errors is a complex problem, and one that can only be solved with specialized software.
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GBG Loqate
Published By: Red Hat     Published Date: Feb 25, 2019
Evaluate Red Hat Enterprise Linux for your application deployments, datacenter infrastructure or virtual and cloud environments. Red Hat Enterprise Linux provides a reliable and secure operating system that you can trust to run your most mission critical workloads. This evaluation: Provides a single subscription for a variant of Red Hat Enterprise Linux Offers access to Red Hat's award winning Customer Portal, including knowledge, videos, and documentation Is not intended for production use
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Red Hat
Published By: IBM APAC     Published Date: Mar 06, 2019
The Forrester Study on cost savings and business benefits enabled by Watson Studio and Watson Knowledge Catalog. Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy machine learning models at scale. The Forrester provides readers a framework to evaluate the potential financial impact of the Watson Studio and Watson Knowledge Catalog investment on their organizations.
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IBM APAC
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: Astaro     Published Date: Jan 19, 2011
This white paper discusses what drives organizations in both heavily-regulated and less regulated industries to retain email and other electronic content.
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astaro, content retention, email content, legal discovery, data mining, knowledgement management, electronic content
    
Astaro
Published By: Zendesk     Published Date: May 21, 2018
Customers are more technically savvy than everand have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers onlyseek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: Zendesk     Published Date: Jun 29, 2018
Customers are more technically savvy than ever and have come to prefer the DIY approach to solving their issues and answering their own questions. Years of research by ICMI has confirmed that customers prefer to resolve issues themselves and within their channels of choice. Furthermore, customers only seek direct interactions when they unsuccessfully exhaust their self-service options. This is backed up by data from American Express, which found that 48% of consumers prefer to speak with a customer service rep when dealing with complex issues, but only 16% prefer the same contact for simple issues. The goal of this paper is simple: We want to help you build an all-in-one knowledge base, community, and customer portal. All of which can be accomplished with a help center like Zendesk Guide.
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Zendesk
Published By: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: HPE Service Virtualization     Published Date: Aug 18, 2016
Voke conducted a survey of 505 participants from technology and non-technology companies to explore their use of service virtualization and its results. Organizations using service virtualization experienced fewer defects, reduced software cycles, and increased customer satisfaction. The 2015 Service Virtualization Market Snapshot™ REPORT by Voke Research provides real-world data to help you justify the investment in service virtualization.
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service virtualization, data, market snapshot, voke research, software development, knowledge management
    
HPE Service Virtualization
Published By: VMware AirWatch     Published Date: Jul 19, 2017
The VMware 2016 State of the Digital Workspace Report was performed in July 2016 and is a study that examined digital workspace adoption among global organizations across industries. Data represents a survey of 1,263 business decision makers (BDMs) and IT influencers to examine the worldwide progress in transitioning from the client-server era to the mobile-cloud era. Respondents acknowledged that game-changing IT relies on organizations adopting a digital workspace that includes security and identify management as vital components. With realistic prospects of achieving astounding return on investment (ROI), even businesses that cited obstacles to adoption may want to consider taking another look at business mobility initiatives.
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VMware AirWatch
Published By: Oracle     Published Date: Oct 20, 2017
What do these market-defining trends have in common? · Analytics for all · Analytics as competitive differentiator · Internet of Things · Artificial intelligence/Machine learning/Cognitive computing · Real-time analytics/event management They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise? It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
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Oracle
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: VMware     Published Date: Feb 24, 2017
The VMware 2016 State of the Digital Workspace Report was performed in July 2016 and is a study that examined digital workspace adoption among global organizations across industries. Data represents a survey of 1,263 business decision makers (BDMs) and IT influencers to examine the worldwide progress in transitioning from the client-server era to the mobile-cloud era. Respondents acknowledged that game-changing IT relies on organizations adopting a digital workspace that includes security and identify management as vital components. With realistic prospects of achieving astounding return on investment (ROI), even businesses that cited obstacles to adoption may want to consider taking another look at business mobility initiatives.
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VMware
Published By: Adobe     Published Date: Nov 09, 2017
Patients are going digital — and taking the healthcare system with them. Learn how in the 2017 Digital Trends in Healthcare and Pharma report. Download it now to learn: Why two-thirds of healthcare companies are investing in data analysis. How they’re building content marketing programs to boost patient knowledge. What they plan to do with virtual and augmented reality this year and beyond.
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Adobe
Published By: TIBCO Software     Published Date: Jan 17, 2019
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
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virtualization, data, analytics, datasets, software, access, integration, projects, tools, scalability
    
TIBCO Software
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