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Published By: Infor     Published Date: Mar 07, 2017
Les big data sont plus qu’une simple mode. Ces dernières années, les systèmes analytiques sont rapidement devenus un outil essentiel pour les entreprises afin de rassembler et d’interpréter des informations sous diverses formes.
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Infor
Published By: Infor     Published Date: Mar 07, 2017
Big data is more than a buzz word. In recent years, analytics systems have quickly become an essential tool for businesses to gather and interpret various forms of information.
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Infor
Published By: Progress     Published Date: Mar 06, 2017
The Digital Marketing Maturity Guide helps organizations determine the level of sophistication within their digital marketing operations. Dimensional Research to conducted a global survey of 700 marketing professionals gauging the level of digital marketing maturity across various verticals and company sizes. Use these findings to benchmark your organization against other groups.
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digital marketing, operations, big data, analytics, web content management, content management systems
    
Progress
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: Schneider Electric     Published Date: Feb 17, 2017
In this white paper, we will look into: • The changing face of the colocation buyer • Industry structure, including mergers and acquisitions • The Internet of Things and big data • Edge computing • Cloud computing and Internet Giants • The impact of data center infrastructure management (DCIM) • Data center design architectures
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colocation, iot, internet of things, big data, edge computing, cloud computing, dcim, data center infrastructure management, data center design architectures
    
Schneider Electric
Published By: CrowdStrike     Published Date: Feb 01, 2017
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. Download the white paper to learn: • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google • How CrowdStrike solved this challenge by building its own proprietary graph data model • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches
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CrowdStrike
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
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IBM
Published By: IBM     Published Date: Jan 27, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume.
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IBM
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
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Analytics relies on BI, Big Data, and data discovery to provide reporting, trend what-if analysis. Analytics is transforming data into insight.
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ibm, analytics, business intelligence, data
    
IBM
Published By: HP Enterprise Business     Published Date: Jan 20, 2017
Six keys to reducing cost with a fast, agile, and efficient big data service desk. Download now to learn more!
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HP Enterprise Business
Published By: Lenovo and Intel®     Published Date: Jan 19, 2017
Accessing, analyzing, and actioning with big data are among the key challenges facing every enterprise. In this detailed report from Forrester, you’ll see key drivers and challenges with Big Data, AND some clear recommendations on how to proceed. Get the white paper to see Forrester's key findings.
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lenovo, data access, big data, data analysis
    
Lenovo and Intel®
Published By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, analytics, ecm, data, big data, information governance
    
IBM
Published By: IBM     Published Date: Jan 19, 2017
With organizations keeping larger and larger quantities of data the question will come up that given dropping storage costs, does uncontrolled data growth even matter? It does matter, and in this IBM publication featuring Gartner research you will learn about this ever growing problem and ways for information managers to address solutions.
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ibm, analytics, data, ecm, big data, information governance
    
IBM
Published By: Oracle     Published Date: Jan 11, 2017
Cloud, mobile, social media, and big data were once considered intimidating new technologies by CFOs; today they are the cornerstone of any successful financial department. That’s the evolution of digitization. The role of the CFO is evolving to become more strategic and CFOs of established firms are taking notice that going digital creates value.
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Oracle
Published By: Microsoft     Published Date: Jan 10, 2017
Field service management teams want to keep costs down, while improving their customer service relationships. Learn how Microsoft makes it happen.
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microsoft, internet of things, iot, field service management, mobile workers, customer service, mobile solutions, big data, customer data
    
Microsoft
Published By: Cumulus Networks     Published Date: Dec 30, 2016
As one of the fastest moving industries in terms of innovation and change, Information Technology is rife with predictions for what will be "the next big thing". Networking is undergoing a shift with the adoption of web-scale and open networking approaches. Fill out the form to the right to view our webinar and hear experts from Cumulus Networks, IPspace, and Facebook discuss their predictions for what will be the biggest changes and evolutions in data centers this year.
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Cumulus Networks
Published By: Cisco     Published Date: Dec 21, 2016
CTOs, CIOs, and application architects need access to datacenter facilities capable of handling the broad range of content serving, Big Data/analytics, and archiving functions associated with the systems of engagement and insight that they depend upon to better service customers and enhance business outcomes. They need to enhance their existing datacenters, they need to accelerate the building of new datacenters in new geographies, and they need to take greater advantage of advanced, sophisticated datacenters designed, built, and operated by service providers. IDC terms this business and datacenter transformation the shift to the 3rd Platform.
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Cisco
Published By: Cox Business     Published Date: Dec 19, 2016
As we continue to move forward into an age of big data, optimization, and greater convenience through the capabilities of better networking technologies, opportunities have never been greater to use technology to make for a truly seamless hospitality experience. However, growing dependence on your network for everything from booking to entertainment can also mean that hospitality networks hold greater amounts of data than ever before. This makes them a tempting target for hackers.
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Cox Business
Published By: Cox Business     Published Date: Dec 19, 2016
As the healthcare industry continues to move forward into an age of big data, optimization, and greater coordination of care through the capabilities of better networking technologies, opportunities have never been greater to use technology to truly improve how healthcare professionals interacts with patients. However, growing dependence on your network for everything from medical records to billing information can also mean that healthcare networks hold greater amounts of data than ever before. This makes them a tempting target for hackers.
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Cox Business
Published By: Cox Business     Published Date: Dec 19, 2016
As we continue to move forward into an age of big data, optimization, and shared information through the capabilities of better networking technologies, opportunities have never been greater for using technology to improve the way the government interacts with constituents. However, increasing dependence on web and network services also makes government a tempting target for hackers. Distributed Denial of Service attacks, data breaches, leaks, the risks can be enormous. Recent events have shown us that now more than ever, government servers are getting victimized by well-funded teams of foreign hackers, possibly funded by their government.
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Cox Business
Published By: Veritas     Published Date: Dec 08, 2016
This Infographic outlines the below: The Data Environment How Active is the Data? Poor Data Behaviour Exposes Organisations to Risk Organisations that Deploy Information Governance Strategies are more Successful at Achieving these Desired Outcomes
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data environment, data, big data, data management
    
Veritas
Published By: Veritas     Published Date: Dec 08, 2016
Read on to find out how Veritas can arm your organisation to fight back against the exponential data curve and reign over risk.
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data, management, big data
    
Veritas
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