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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: DATAVERSITY     Published Date: Oct 11, 2018
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 Governance and Data Stewardship. 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: 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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data architecture, data, data management
    
DATAVERSITY
Published By: Embarcadero     Published Date: Apr 29, 2015
Everything about data has changed, but that only means that data models are even more essential to understanding that data so that businesses can know what it means. As development methodologies change to incorporate Agile workflows, data architects must adapt to ensure models stay relevant and accurate. This whitepaper describes key requirements for Agile data modeling and shows how ER/Studio supports this methodology.
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data, data management, data modeling, agile, agile data modeling, it management
    
Embarcadero
Published By: Information Asset, LLC     Published Date: Feb 11, 2014
An In-Depth Review of Data Governance Software Tools: Reference Architecture, Evaluation Criteria, and Vendor Landscape
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white paper, data governance, data, data management, data management white paper, data governance white paper
    
Information Asset, LLC
Published By: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: Cambridge Semantics     Published Date: Aug 17, 2015
As the quantity and diversity of relevant data grows within and outside of the enterprise, business users and IT are struggling to extract maximum value from this data. Current approaches, including the rigid relational data warehouse and the unwieldy Hadoop-only Data Lake, are limited in their ability to provide users and IT with the answers they need with the proper governance and security required. Read this whitepaper to learn how The Anzo Smart Data Lake from Cambridge Semantics solves these problems by disrupting the way IT and business alike manage and analyze data at enterprise scale with unprecedented flexibility, insight and speed.
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Cambridge Semantics
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: Reltio     Published Date: Feb 12, 2016
Reltio delivers reliable data, relevant insights and recommended actions so companies can be right faster. Reltio Cloud combines data-driven applications with modern data management for better planning, customer engagement and risk management. IT streamlines data management for a complete view across all sources and formats at scale, while sales, marketing and compliance teams use data-driven applications to predict, collaborate and respond to opportunities in real-time. Companies of all sizes, including leading Fortune 500 companies in healthcare and life sciences, distribution and retail rely on Reltio.
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Reltio
Published By: Reltio     Published Date: Nov 16, 2018
Explore this 31-criteria, Forrester Wave Report on MDM platforms and vendors. You'll discover an evaluation of 12 vendors including leader Reltio with modern Master Data Management.
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Reltio
Published By: WhereScape     Published Date: Mar 16, 2016
Industry expert Wayne Eckerson provides an overview of the emerging data warehouse automation market and outlines the value of using automation tools for developing data warehouses, data marts, analytical environments and big data platforms. Eckerson details WhereScape’s architecture—which enables a data-driven approach to automation. Eckerson also discusses how agility and automation together encourage iterative development and closer collaboration between business and IT.
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WhereScape
Published By: Profium     Published Date: Mar 28, 2017
Profium Sense is an AI powered graph database which has unique features such as triggered query evaluation and ability to change rules in runtime. With support for open standards, it provides a reliable backbone for your next-generation digital services.
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Profium
Published By: Dataiku     Published Date: Feb 01, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Dataiku     Published Date: Feb 19, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Attivio     Published Date: Mar 14, 2018
Did you ever consider all of the examples of machine learning in your personal life? Google’s page ranking system, photo tagging on Facebook, and customized product recommendations from Amazon are all driven by machine learning under the hood. How do these same techniques improve productivity for your business? Search is the new data and content curation. Improved relevance translates to faster search results and better business outcomes across the line. Download the Five-Minute Guide to Machine Learning to find out how self-learning technologies drive increasingly relevant answers and better context for cognitive search.
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Attivio
Published By: Splice Machine     Published Date: May 19, 2014
SQL-on-Hadoop solutions have become very popular recently as companies solve the data access issues with Hadoop or seek a scale-out alternative for traditional relational database management systems. However, with all of the options available, choosing which solution is right for your business can be a daunting task. This white paper discusses the options you should consider and questions to ask, including: Is it really “Real-Time”? Is it true SQL? Does it support secondary indexes? Can it efficiently handle sparse data? Can it deliver fast performance on massive joins? Read this white paper to get a better understanding of the SQL-on-Hadoop landscape and what questions you should ask to identify best solution for your business.
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white paper, splice machine, sql, hadoop, nosql, nosql white paper, hadoop white paper, dataversity
    
Splice Machine
Published By: Embarcadero     Published Date: Apr 23, 2015
Everything about data has changed, but that only means that data models are even more essential to understanding that data so that businesses can know what it means. As development methodologies change to incorporate Agile workflows, data architects must adapt to ensure models stay relevant and accurate. This whitepaper describes key requirements for Agile data modeling and shows how ER/Studio supports this methodology.
Tags : 
data, data management, data modeling, agile, agile data modeling, it management
    
Embarcadero
Published By: Zendesk     Published Date: Jan 04, 2019
“O cliente tem sempre a razão” é uma máxima que a Zendesk leva muito a sério. O que o cliente quer? O que ele precisa? Esse é o foco de todas as atividades da Zendesk. De pequenas empresas que desejam crescer rapidamente e estabelecer suas marcas a grandes empresas que querem manter a fidelidade dos seus clientes, a Zendesk capacita corporações para que elas atendam, sem interrupções e em tempo real, a grandes bases de clientes nos canais que elas desejam, e utilizem dados e análises nas suas interações com os consumidores. Nesse ebook, você verá como organizações como a NatureBox, a Uber e a Instacart usam o Zendesk de maneiras inovadoras para criar experiências do cliente otimizadas e simples. Você aprenderá sobre: ? O fornecimento de suporte omnichannel personalizado em larga escala ? A personalização e manutenção de operações de suporte com facilidade ? O gerenciamento de fluxos de trabalho de suporte avançados para maximizar a produtividade ? A descoberta de informações sobre os c
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Zendesk
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: Avi Networks     Published Date: Mar 06, 2019
Modern application architectures such as microservices are changing the way that modern enterprises run their infrastructure. Enterprises have become application-centric, investing significant effort and resources on continuous delivery goals and DevOps practices to achieve automation of routine IT and operations tasks. And now with the emergence of containerized applications, it is critical to re-evaluate how application services are provided across data centers and multiple cloud environments.
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Avi Networks
Published By: Salsify     Published Date: Mar 15, 2019
Enhanced content, or the below-the-fold rich media on retailer product pages, is the best way to tell your brand's story and differentiate from your competition. It also happens to be one of the best ways to improve conversion rates (by an average of 25%). Get a comprehensive guide on how to select the best performing content for your brand and deliver it across your sales channels for the broadest impact. This new ebook created in collaboration with Hinge Consulting will arm you with the data and guidelines you need to tell your brand story across the digital shelf. You will learn: How to think creatively about the most relevant enhanced content to include in your story How to scale your brand content across your most important retailer sites, including Amazon and Walmart How to measure the most important KPIs to communicate the impact of rich media Salsify is the product experience management platform for thousands of brands and retailers worldwide.
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Salsify
Published By: Oracle     Published Date: Mar 18, 2019
This is a digibook that discusses at a very high level the challenges faced by today’s financial services providers, and how they must innovate to remain relevant.
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Oracle
Published By: Genesys     Published Date: Feb 12, 2019
Everyone says they’re “in the cloud,” but most technology leaders would agree that not all clouds are created equal. When evaluating a cloud contact centre solution for your business, it’s important to understand the difference between a true Cloud 2.0 application and traditional software, including which features to look for and why those features are important. Download this eBook and learn: How a true Cloud 2.0 model is built to provide levels of reliability, scalability, flexibility and security that that far exceed those of previous generations The benefits of utilising a platform built on microservices architecture How to take your business to the next level with a built to scale cloud contact centre platform
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Genesys
Published By: Anaplan     Published Date: Mar 12, 2019
Old-school planning and budgeting can’t keep up In disruptive times, innovating and responding to change requires visibility into business conditions—and reliable planning and forecasting. However, it’s not always easy figuring out which cloud-based corporate performance management (CPM) system will best fit your budgeting, planning, analysis, and reporting needs. In this report, you will gain insight into: • The drawbacks of old-school, manual budgeting and planning • Benefits of cloud-based performance management systems • Four evaluation criteria for selecting cloud-based CPM technology
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Anaplan
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