user oriented

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By: Waterline Data & Research Partners     Published Date: Jun 15, 2015
This analysis profiles products that can accelerate the shift toward business-user-oriented, visual, interactive data preparation.
Tags : gartner, analysis, data visualization, business tools, best practices, interactivity, vendor functionality
     Waterline Data & Research Partners
By: Cisco     Published Date: Jan 08, 2016
In a climate of digital disruption and global market pressures, many manufacturers want to differentiate with new service-oriented revenue models, especially those that rely on connected machines and machineas-a-service. In a Cisco survey of more than 600 senior executives in 13 countries—from both industrial machine builders and end-user manufacturers—86 percent said the transition from product-centric to service-oriented revenue models is a core part of their growth strategies.
Tags : cisco, thought leadership, revenue models, manufacturing, best practices, it management, enterprise applications
     Cisco
By: Stratus Technologies     Published Date: Jun 16, 2009
"Time is money. You can't do business if you can't access your applications. I won't settle for anything less than 99.99% application availability." Steven Sommer, veteran CIO/CTO There is no aspect more critical to a business than the ability of its end users, customers, business partners and suppliers to have high availability access the corporate applications. If applications are unavailable, business ceases. And corporations know it.
Tags : c-level, stratus, itic, end users, customers, partners, high availability, corporate applications, service oriented architecture, soa, web based applications, afcom, uptime, continuous availability, servers, downtime, big iron, return on investment, roi, slas
     Stratus Technologies
By: dynatrace     Published Date: Mar 04, 2015
Recent advances in online retail now let consumers shop anytime, anywhere. This access is unprecedented and as a result, e-Commerce has transformed the business model. Featured speakers from ULTA Beauty, the largest beauty retailer that provides one-stop shopping for prestige, mass and salon products and salon services in the U.S., discuss the retailer’s e-Commerce evolution that led to understanding and optimizing their customers’ online experience. Discover how ULTA Beauty: Gains full end-to-end visibility into user experience Captures the business impact of user experience and application performance Accelerates time to market for new functionalities and services
Tags : beauty, e-commerce, user-oriented, retail, business, application performance, consumer
     dynatrace
By: bigtincan     Published Date: Oct 10, 2014
Enabling the mobile workforce to be productive is the ultimate goal of any mobile business initiative. While the idea that mobile devices like the iPad, Galaxy Tab and today’s leading smartphones can change how users work in the enterprise is well established, the real challenge is how to enable a mobile workforce to have device access to all the different content they need to do their job without having to circumvent security and content governance objective or require users to learn a mix of consumer oriented software tools and work in different user interfaces in order to be productive. Viewing, editing, annotating and sharing content must be available from the same application.
Tags : mobile apps, user enablement, mobile workforce, mobile content
     bigtincan
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: 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
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