social data

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Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: Data Ninja     Published Date: Apr 16, 2017
By adding structure to free text using text analytics and graph databases, text becomes valuable business data. This paper examines a real life use case in risk analysis. Text is a part of all communication channels from social media, documents, logs, and data bases. In order to use the information from text, you need to extract the data in a way that provides useful information on entities, locations, organizations, and their properties. Graph databases are very powerful in showing the text relationships including the nearest neighbors, clusters, and the shortest paths. The combination of text analytics and graph databases can be used to solve business problems.
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Data Ninja
Published By: Converseon     Published Date: Apr 02, 2018
Separating signals from noisy social listening data has long been a problem for data scientists. Poor precision due to slag, sarcasm and implicit meaning has often made it too challenging to effectively model. Today, however, new approaches that leverage active machine learning are rapidly over taking aging rules-based techniques and opening up use of this data in new and important ways. This paper provides some detail on the evolution of text analysis including current best practices and how AI can be used by data scientists to use this data for meaningful analysis.
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Converseon
Published By: MarkLogic     Published Date: Jun 16, 2013
The primary issue discussed within this paper boils down to two disparate database reliability models: ACID vs BASE. The first (ACID) has been around for some 30+ years, is a proven industry standard for SQL-centric and other relational databases, and works remarkably well in the older, yet still extant, world of vertical scaling. The second (BASE) has only recently gained popularity over the past 10 years or so, especially with the rise of social networking, Big Data, NoSQL, and other leviathans in the new world of Data Management. BASE requirements rose out of a need for ever-expanding horizontally scaled distributed networks, with non-relational data stores, and the real-time availability constraints of web-based transaction processing. While there are now more crossovers and negotiations between the two models, they essentially represent two competing groups, with Brewer’s CAP Theorem acting as the referee in the middle forcing tough decisions on each team.
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data, data management, unstructured data, nosql, database, acid, base, database transactioning
    
MarkLogic
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
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research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: PCRecruiter     Published Date: Oct 28, 2010
Only a decade or so ago, those human resources professionals who hadn't yet found their way onto the Internet were finding themselves increasingly left out in the cold.As we slip swiftly into the second decade of the 21st century, it's those who haven't yet begun to participate in 'social media and networking' that are starting to feel the chill.
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pcrecruiter, recruiting, social networking, network, facebook, twitter, email program, networking, databases
    
PCRecruiter
Published By: PCRecruiter     Published Date: Oct 28, 2010
Only a decade or so ago, those human resources professionals who hadn't yet found their way onto the Internet were finding themselves increasingly left out in the cold. As we slip swiftly into the second decade of the 21st century, it's those whohaven't yet begun to participate in 'social media and networking' that are starting to feel the chill.
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pcrecruiter, recruiting, social networking, network, facebook, twitter, email program, networking, databases
    
PCRecruiter
Published By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: ExactTarget     Published Date: Aug 14, 2014
Marketing as you know it will never be the same. There’s a fundamental shift in relationships between brands and customers—fueled by smartphones, social media, and today’s always-on, always-connected mentality. Marketers have access to more customer data (big data) than ever before. But the quantity of data only matters if you’re smart about using it—to power 1:1 customer journeys.
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marketing cloud, target, big data, brands, customers, social media, smartphones, always-on
    
ExactTarget
Published By: SAP     Published Date: Nov 17, 2016
SAP Jam is a cloud-based social software platform that transforms the way people work by bringing together people, data, and decision-making capabilities when and where workers need them. In this Forrester Total Economic Impact (TEI) study commissioned by SAP, learn about the potential return on investment you can realize by deploying SAP Jam.
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sap, human resources, employee, sap jam, total economic impact
    
SAP
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
If you’re a small-to-midsized business (SMB), you know that you’re operating in a fast-paced, ever-changing business environment. Customers want their demands met instantly, and increasing competition multiplies the pressure you’re under. If you can’t deliver, you can be sure somebody else will. Fortunately, the technology landscape is changing the way you do business. Mobility, social media, and Big Data are leveling the playing field and making it possible for companies like yours to access more sophisticated technology, reach bigger audiences, target their messages, and innovate in their offerings. Yet nothing has changed the landscape so much as the cloud.
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business environment, business management, social media, information technology, data security
    
Hewlett Packard Enterprise
Published By: Cisco     Published Date: Jul 30, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks.
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Cisco
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
Mobility, social media, analytics and the cloud are revolutionizing how data is accessed, used, and secured for small to midsize businesses. With data security threats are on the rise, keep your business running with Hewlett Packard Enterprise.
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best practices, business optimization, business management, application management, enterprise application, business intelligence, productivity
    
Hewlett Packard Enterprise
Published By: Equinix     Published Date: May 18, 2015
This paper illustrates how organisations are becoming digital enterprises due to the technology implications of scale and volume.
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technology, digital economy, network, become a digital enterprise, mobile, social, cloud, big data, digital enterprise, digital infrastructure, equinox, hybrid infrastructure, equinix solutions, optimise your network, digital world challenges, networking, byod, virtualization, cloud computing
    
Equinix
Published By: SAS     Published Date: Jan 17, 2018
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations. Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
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SAS
Published By: Cisco     Published Date: Jun 21, 2016
Enterprises are leveraging advancements in what IDC calls “3rd Platform” technologies — cloud, Big Data, mobility, and social — to create new business opportunities and gain competitive advantage. These trends are putting more pressure on IT organizations to transform their datacenter operations to better support business initiatives aimed at reducing costs, increasing revenue, and strengthening customer relationships. This has driven increased demand for converged or integrated systems that provide the tools needed to reduce capital costs, improve operational efficiencies and, ultimately, increase agility within the datacenter.
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Cisco
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
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