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By: Rovi     Published Date: Apr 08, 2013
An introduction to Rovi Insights series Mobile World Congress 2013 Edition.
Tags : rovi, mobile, multi-screen, high efficiency video coding, hevc, entertainment metadata, digital media, digital discovery
     Rovi
By: SAS     Published Date: Apr 21, 2015
This article highlights why visual data discovery tools have grown in popularity, the role of dashboards, and best practices for success.
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     SAS
By: SAS     Published Date: Apr 25, 2017
This TDWI Checklist provides seven steps your organization can follow to apply a balanced governance strategy as you expand your use of self-service visual analytics and discovery.
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     SAS
By: SAS     Published Date: Apr 25, 2017
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Andy Bitterer, Senior Director of Business Intelligence Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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     SAS
By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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     SAS
By: SAS     Published Date: Mar 06, 2018
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll, Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
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     SAS
By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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     SAS
By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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     SAS
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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     SAS
By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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     SAS
By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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     SAS
By: SAS     Published Date: Jun 27, 2019
In the quest to understand how a therapeutic intervention performs in actual use – in real medical practice outside the controlled environment of clinical trials – many life sciences organizations are stymied. They rely on one-off processes, disconnected tools, costly and redundant data stores, and ad hoc discovery methods. It’s time to standardize real-world data and analytics platforms – to establish much-needed consistency, governance, repeatability, sharing and reuse. The organizations that achieve these goals will formalize their knowledge base and make it scalable, while significantly reducing turnaround times, resources and cost. Learn the seven key components for putting that structure to real-world evidence – and four ways to take it to the next level.
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     SAS
By: Savvis     Published Date: Jul 07, 2010
Savvis delivers a complex, fully managed infrastructure for Discovery to support its real-time advertising deliverables, ad sales, scheduling, and programming for all its international operations.
Tags : savvis, saas, deliverability, managed infrastructure, outsourcing
     Savvis
By: ServiceNow     Published Date: May 15, 2018
A comprehensive service visibility strategy with automated infrastructure discovery and service mapping gives a clear view into business-critical services. Quickly locate potential problems before downtime happens. Learn best practices to develop your service visibility framework. Read this eBook.
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     ServiceNow
By: ServiceNow     Published Date: Aug 20, 2018
A comprehensive service visibility strategy with automated infrastructure discovery and service mapping gives a clear view into business-critical services. Quickly locate potential problems before downtime happens. Learn best practices to develop your service visibility framework. Read this eBook.
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     ServiceNow
By: ServiceNow     Published Date: Oct 22, 2018
A comprehensive service visibility strategy with automated infrastructure discovery and service mapping gives a clear view into business-critical services. Quickly locate potential problems before downtime happens. Learn best practices to develop your service visibility framework. Read this eBook.
Tags : service, business, infrastructure, remotely, servicenow
     ServiceNow
By: ServiceNow     Published Date: Oct 22, 2018
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : cmdb, servicenow, discovery, infrastructure, data, visibility
     ServiceNow
By: ServiceNow     Published Date: Mar 13, 2019
A comprehensive service visibility strategy with automated infrastructure discovery and service mapping gives a clear view into business-critical services. Quickly locate potential problems before downtime happens. Learn best practices to develop your service visibility framework. Read this eBook.
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     ServiceNow
By: ServiceNow     Published Date: Mar 13, 2019
It’s nearly impossible to effectively manage software assets without first normalizing disparate software discovery data. This best practice guide will help you get the most out of software normalization process and showcase the benefits realized during software publisher audits and renewal discussions.
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     ServiceNow
By: ServiceNow     Published Date: Mar 13, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : 
     ServiceNow
By: ServiceNow     Published Date: May 14, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
Tags : servicenow, cmdb, stages, foundation, infrastructure
     ServiceNow
By: ServiceNow     Published Date: May 14, 2019
It’s nearly impossible to effectively manage software assets without first normalizing disparate software discovery data. This best practice guide will help you get the most out of software normalization process and showcase the benefits realized during software publisher audits and renewal discussions.
Tags : servicenow, software, asset, management, data, audits
     ServiceNow
By: ServiceNow     Published Date: May 14, 2019
A comprehensive service visibility strategy with automated infrastructure discovery and service mapping gives a clear view into business-critical services. Quickly locate potential problems before downtime happens. Learn best practices to develop your service visibility framework. Read this eBook.
Tags : servicenow, single, system, record, practice, framwork, infrastructure
     ServiceNow
By: Shavlik Technologies     Published Date: Dec 15, 2010
Now you can have easy SaaS-based Discovery and Reporting on all Physical and Virtual Systems, Security Update Status and Assets in Minutes.
Tags : shavlik, cloud-based it management, saas, discovery and reporting, virtual systems, security update, netchk protect, virtual infrastructure
     Shavlik Technologies
By: Shavlik Technologies     Published Date: Dec 15, 2010
Shavlik Security Suite can patch online and offline virtual machines; works both with an agent-based or agentless approach; supports legacy Windows platforms and a wide range of Microsoft and third-party applications; and furthermore provides strong control of scanning options, and a level of automated remediation that is impressive.
Tags : shavlik, security suite, virtual machine, legacy windows platform, third-party application, protection management, automated discovery, scanning
     Shavlik Technologies
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