data sets

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Published By: Adobe     Published Date: Mar 16, 2017
Meet the trends that are impacting your ability to create, manage, deliver and optimize your digital assets. The Adobe white paper, 7 Trends Impacting How We Use Digital Assets, identifies the trends that help you deliver more meaningful customer experiences with the right assets, through the right channels, at the right time. Read the Adobe white paper to learn: • How metadata can help increase brand consistency across multiple channels and devices • Why marketers need digital asset tools that increase responsiveness to consumers in real time • The importance of rich media in delivering personalized content that deepens customer connections
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digital assets. adobe, metadata, digital assets, channeling
    
Adobe
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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Dun & Bradstreet
Published By: Dell EMC     Published Date: Feb 23, 2017
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue.
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Dell EMC
Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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IBM
Published By: Waterline Data & Research Partners     Published Date: Nov 07, 2016
For many years, traditional businesses have had a systematic set of processes and practices for deploying, operating and disposing of tangible assets and some forms of intangible asset. Through significant growth in our inquiry discussions with clients, and in observing increased attention from industry regulators, Gartner now sees the recognition that information is an asset becoming increasingly pervasive. At the same time, CDOs and other data and analytics leaders must take into account both internally generated datasets and exogenous sources, such as data from partners, open data and content from data brokers and analytics marketplaces, as they come to terms with the ever-increasing quantity and complexity of information assets. This task is clearly impossible if the organization lacks a clear view of what data is available, how to access it, its fitness for purpose in the contexts in which it is needed, and who is responsible for it.
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Waterline Data & Research Partners
Published By: Dell EMC     Published Date: Nov 04, 2016
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue. The impact of hyper-converged infrastructures on IT has been profound. In fact, 85% of respondents to a recent ESG survey already use or plan to use a hyper-converged solution in the coming months. Though that number appears high, it is not all that surprising. ESG also asked organizations to identify which factors drove them to deploy or considering deploying a hyper-conv
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ubuntu, performance, windows, hyper-convergence
    
Dell EMC
Published By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
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api, market intelligence, advisory services, digital transformation, data
    
JBoss Developer
Published By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
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ibm, trusted data, big data, governance, data governance
    
IBM
Published By: GE Power     Published Date: Oct 05, 2016
Gathering machine sensor data for analysis across a power plant is only the beginning. The Digital Twin takes analytics to the next level by creating a virtual analytic model of assets within the plant. With the GE Digital Twin power companies can understand how assets are performing in real time, and predict future performance.
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digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
    
GE Power
Published By: Oracle     Published Date: Sep 08, 2016
This Webcast explores what the next generation of Finance function looks like. Watch this webcast now to find out: How companies are monitoring and measuring intangibles within their business. How the CFO role is evolving in this increasingly digital economy that we are all living.
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digital technologies, digital landscape, finance, business models, next generation finance, finance function, cloud, big data, intagible assets
    
Oracle
Published By: Panasonic     Published Date: Aug 04, 2016
Whether deploying, securing or managing mobility solutions in a professional environment, enterprise leaders must go to great lengths to ensure their investments are effective and easily assimilated into their existing workflows. In order to avoid encountering challenges with rugged mobile devices and other specialist mobile solutions, it is crucial for businesses with field workforces to leverage services and partners that can help them instill strategic best practices across the entire spectrum of mobilization, including security and data protection, installation and integration, training, maintenance and warranties, and proper disposal of old assets.
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mobile devices, mobility, managing mobility, best practices, productivity
    
Panasonic
Published By: IBM     Published Date: Aug 04, 2016
IBM BigInsights is ready to help Quest Diagnostics Inc. ingest, normalize and analyze huge data-sets, delivering new insight into clinical outcomes for physicians, hospitals, and millions of patients.
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ibm, analytics, myaa, quest diagnostics, case study, data analytics, data insight, big data
    
IBM
Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence
    
IBM
Published By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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Cisco
Published By: Staples     Published Date: May 24, 2016
Today, many enterprises are struggling to manage their printing environments to ensure efficiency, security, and control. This problem has created one of the fastest-growing trends in printing today: managed print services (MPS). While keeping data safe is a growing concern for all companies, MPS software has no access to the content being printed, faxed, or scanned. Read this white paper to learn how MPS helps to protect and control printed assets and can play a big role in ensuring sensitive documents don't end up in the wrong hands.
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it security, managed print services, outsourced print services, print management, print costs
    
Staples
Published By: Delphix     Published Date: May 03, 2016
Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.
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Delphix
Published By: MuleSoft     Published Date: Apr 13, 2016
Every corner of an enterprise needs technology to build new applications for their specific function or customer. IT needs to transform from its traditional function as the sole technology provider to become an adaptive, responsive and nimble organization that can keep up with the pace of the digital era as well as embrace the opportunities provided by a change-driven environment. This transformation can occur only if IT transforms itself into a strategic business enabler rather than a centralized technology function. Being an enabler means that IT has to decentralize and democratize application development and data access to the different Lines of Business (LoBs) and functional business partners. This way, IT can concentrate on a partnership with the business - i.e. providing a set of strategic and consistent assets and technology.
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technology, enterprise applications, best practices, business optimization, technology architecture, application management
    
MuleSoft
Published By: IBM     Published Date: Apr 12, 2016
The digital transformation that organizations are striving for today requires a mindset of "no limits" in terms of securely exposing critical business assets for internal and external consumption. In order to be an agile, digital business, enterprises need to seamlessly connect across hybrid environments, applications, data and processes, keeping a keen eye on an open cloud strategy. They also need a secure integration framework to provide controlled access, a single dashboard providing performance insights, and easy access to digital assets for your developers. This webcast will explore all of these areas in depth, to support your enterprise's quest to become a next-generation digital business.
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ibm, digital business, api economy, api management, apim, api
    
IBM
Published By: IBM     Published Date: Mar 28, 2016
Workforce analytics is a very significant development in human resources. It promises the potential for deeper understanding of the ways workers contribute to organizational performance. However, workforce analytics is not just about analyzing data to reveal exciting insights; it also requires the active involvement of a firm’s workers if the potential of analytics is to be fully realized. Without active employee participation, workforce analytics efforts face at best, restricted data sources and data sets that are incomplete and at worst, the risk of damaging employee relations and, ultimately, productivity. This white paper summarizes recommendations that will encourage enthusiasm for workforce analytics and active employee participation, using the FORT (Feedback, Opt-in, Reciprocal, Transparent) framework. The FORT criteria could prove particularly useful in European countries. This is because the 1995 European Union Data Protection Directive, along with certain local legislative pr
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ibm, ibm smarter workforce institute, work trends, employee engagement
    
IBM
Published By: IBM     Published Date: Feb 26, 2016
With Watson Explorer, you can keep enterprise search as the foundation and transform search into Cognitive Exploration. Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media. Stop limiting your search to traditional data sources in the new, non-traditional data world.
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watson explorer, ibm, deep search, content analytics, enterprise software
    
IBM
Published By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
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datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
    
Datawatch
Published By: MuleSoft     Published Date: Jan 25, 2016
Data is one of the most valuable business assets. Companies are using data to provide more personalized, tailored experiences to their customers, analyzing customer and operational behavior to make better decisions, and providing web and mobile apps to their customers, employees, and partners. As the keys to that data, APIs are poised to become valuable business assets in and of themselves. In this whitepaper, we'll learn how APIs are currently transforming the enterprise, and how they will become even more integral to how we do business in the future.
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data management, business practices, data center. data application, enterprise applications, api management
    
MuleSoft
Published By: Datawatch     Published Date: Dec 16, 2015
In this paper, the Top 10 Ways to Supercharge Analyst Productivity with Data Preparation, learn how a self-service data preparation solution saves analysts’ time by allowing them to manipulate, filter, enrich, blend and combine disparate data sets in a matter of minutes.
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data preparation, data wrangling, analyst productivity, data analysis, cleaning data, data blending
    
Datawatch
Published By: Looker     Published Date: Dec 03, 2015
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI
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Looker
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