data organization

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Published By: SAS     Published Date: Apr 25, 2017
Are you a marketing leader on the path to modernizing your marketing organization? Are you a marketing analyst championing analytical transformation in your campaigns? If you answered yes to either question, this e-book is for you. It offers a practical account of how to create a new marketing culture that adds value through data and analytics. You’ll meet marketing leaders from Comerica, Lenovo, RCI, SAS and Visa – and read how they’re implementing analytics, redefining marketing strategies and transforming their cultures. By sharing their perspectives, we hope to provide a new set of best practices to guide your analytical transformation – and to help you reinvent your marketing organization for the digital age.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
For organizations to succeed with the onslaught of devices, sensors and tools that innovation garners, data must no longer be treated as a byproduct but instead as an asset. And data-driven innovation must start at the top. That's what Michael Schrage, Fellow at MIT Sloan School's Initiative on the Digital Economy, said during the Harvard Business Review webinar, Leadership and Big Data Innovation. Find out why data experimentation, governance and culture are part of the next leadership challenge for organizations.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
This TDWI Best Practices Report focuses on how organizations can and are operationalizing analytics to derive business value. It provides in-depth survey analysis of current strategies and future trends for embedded analytics across both organizational and technical dimensions, including organizational culture, infrastructure, data and processes. It looks at challenges and how organizations are overcoming them, and offers recommendations and best practices for successfully operationalizing analytics in the organization.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
Analytics is now an expected part of the bottom line. The irony is that as more companies become adept at analytics, it becomes less of a competitive advantage. Enter machine learning. Recent advances have led to increased interest in adopting this technology as part of a larger, more comprehensive analytics strategy. But incorporating modern machine learning techniques into production data infrastructures is not easy.Businesses are now being forced to look deeper into their data to increase efficiency and competitiveness. Read this report to learn more about modern applications for machine learning, including recommendation systems, streaming analytics, deep learning and cognitive computing. And learn from the experiences of two companies that have successfully navigated both organizational and technological challenges to adopt machine learning and embark on their own analytics evolution.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
It’s there for the taking – real-time information about every physical operation of a business. All you need is a key: data analytics.  This paper is based on Blue Hill Research’s interviews of three organizations – a US-based oil and gas company, a US municipality and an international truck manufacturer – each of which heavily invested in IoT analytics. Focusing on the key themes and lessons learned from their initiatives, this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects.
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SAS
Published By: SAS     Published Date: Aug 02, 2017
With more data in the hands of more people – and easier access to easy-to-use analytics – conversations about data and results from data analysis are happening more often. And becoming more important. And expected. So it’s not surprising that improved collaboration is one of the most common organizational goals. Why? Because two heads, or 10 heads, are better than one. Because bouncing ideas off of others helps you consider more options. And because sharing what you know may help someone else make better decisions.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Compliance doesn’t have to be a scary word – even when facing the multifaceted challenges of meeting the European Union’s May 2018 deadline for its General Data Protection Regulation (GDPR). SAS conducted a global GDPR survey among 340 business executives from multiple industries. Based on the results of that survey, this e-book delves into the biggest opportunities and challenges organizations face on the road to GDPR compliance. Read this e-book to learn: How to get started on the best path to compliance, based on advice from industry experts. How to turn this compliance challenge into a competitive advantage. How your peers are preparing across a variety of industries. An end-to-end approach that can help guide your journey to GDPR compliance.
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SAS
Published 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
Published By: SAS     Published Date: Oct 18, 2017
Organizations need to accelerate the pace with which they realize business value from data. The focus is on improving “time to value,” which is the length of time it takes from the beginning of a project to the delivery of anticipated business value. This TDWI Best Practices Report focuses on realizing value from BI and analytics and how organizations can accelerate the path to higher value. The report looks at multiple factors impacting the ability of organizations to quickly derive greater value from data and analytics, including the organizational issues, practices, and development methods that are often just as important as keeping pace with technological innovation.
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SAS
Published By: Gleanster Research     Published Date: Jul 02, 2014
In this Deep Dive we will explore what sales leaders should actually be demanding from marketing automation tools. In fact, survey data paints a very compelling picture about how sales should be evaluating the impact of marketing automation on sales performance. We'll explore why sales might be resistant in the first place, and how Top Performing organizations overcome these challenges to help support the collaborative pursuit of top line revenue growth between marketing and sales.
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gleanster, sales, marketing, marketing automation, revenue, marketing automation tools, sales performance, sales analytics
    
Gleanster Research
Published By: Q1 Labs     Published Date: Feb 02, 2012
In this study, IANS interviewed two Q1 Labs customers using QRadar to assess their Return On Security (ROS). The two customers were providers of service to the U.S. Government and had highly secure environments dealing with extremely sensitive data. The data yielded from the interviews showed substantial benefit to the organizations for the cost, both in money and staff time.
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siem, security event management, security information management, security incident management, it security, it network security, security intelligence, siem solution, siem technology, security monitoring, continuous monitoring
    
Q1 Labs
Published By: IBM     Published Date: Aug 20, 2013
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making. As choices multiply, marketing becomes more challenging than ever. The days when marketers could rely strictly on good judgment and business acumen are past. Technology for decision and process automation gives marketers a decided edge in making spot-on decisions that match individual customers to the best message, on a scale of millions. The process of Decide builds on customer data collection and analysis, and positions your organization for profitable engagement with your Generation C connected customers. It plays an essential role in Enterprise Marketing Management (EMM) along with the processes of Collect, Analyze, Deliver and Manage.
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enterprise marketing management, customer marketing, customer communication, interactive marketing, emm, process automation, marketing strategy, multi-channel marketing, customer relationship management
    
IBM
Published By: Oracle     Published Date: Nov 01, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
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zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly
    
Oracle
Published By: Oracle     Published Date: Jan 07, 2014
Most enterprises understand the importance of listening to customer comments and conversations through social channels, and engaging and developing relationships with influencers and customer communities. But as the variety, volume, and velocity of social data continues to grow, many organizations are looking for cost-effective ways to use this data to get a better understanding and more holistic view of their customer. Social provides a unique channel to learn about your customer, and offers real-time insights like interests, actions, likes and dislikes that can provide invaluable behavioral and predictive data patterns. This social data (when aggregated with enterprise CRM data) reveals a more complete picture and understanding of customers.
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social crm social roi, social media analytics, cmo and cio collaboration, socially enabled enterprise, social business, social data, social marketing, social media management, social relationship management, marketing and technology collaboration, cmo and cio relationship, customer insight, customer experience, knowledge management
    
Oracle
Published By: Cisco     Published Date: Dec 23, 2014
Cisco and Intel are here to help you get more from the data that is gathered and stored on your network. Unleashing IT: Big Data Special Edition is dedicated to helping you sort through the sea of data in your hands and better position your organization for the future.
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big data, data center, cisco, intel, it management, data management
    
Cisco
Published By: Cisco     Published Date: Jan 05, 2015
Private cloud technologies have proven themselves in large data centers and hosting organizations. The ability to quickly deploy new virtual machines, make configuration changes to virtual machines, live migrate virtual machines to different hosts before performing maintenance on physical components, and other benefits like this have cut operational expenses.
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solution guide, integrate, infrastructure, solutions, applications, it management, data management
    
Cisco
Published By: HP     Published Date: Aug 08, 2014
When you have voluminous data sets growing at an unabated rate, in formats that are unique and complex, how do you address your backup and recovery needs? While relying on traditional backup and recovery solutions can complicate matters, a better approach is to use a solution that enables your IT organization to make decisions that are more intelligent by integrating predictive analysis and an adaptive approach to backup and recovery.
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transform, backup, recovery solutions, lower costs, speed recovery, infrastructure, risk, simplified management, performance, connectivity, enterprise applications
    
HP
Published By: Riverbed     Published Date: Sep 05, 2014
Many organizations have invested in server consolidation, particularly in their data centers. In remote offices, though, servers and storage exist as isolated islands of infrastructure that require management through separate operational processes and procedures. This approach could place data at risk. A new kind of storage architecture allows IT to consolidate remote servers and data in the data center by decoupling storage from its server over any distance—even thousands of miles—and still get the same performance as if the storage remained local to the branch. Organizations can now consolidate remote infrastructure to increase security and ef?ciency, without adversely impacting end-user performance in branch of?ces.
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consolidation, servers, remote, storage, isolated islands, efficiency, security, networking, it management
    
Riverbed
Published By: Riverbed     Published Date: Sep 05, 2014
This white paper details the current challenges organizations face with respect to their evolving IT requirements, growing storage needs, and more extensive data protection requirements. It focuses on an expanding set of cloud-based storage offerings and the buying considerations of those who want to improve the data management metrics associated with data protection services such as backup and recovery. The paper also takes a closer look at the solutions offered by Riverbed Technology that allow organizations to integrate cloud-based storage withing solutions that address a growing set of data protection demands.
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cloud, enterprise storage, data protection, it requirements, metrics, security, data management
    
Riverbed
Published By: HP     Published Date: Aug 25, 2014
At first, virtualization efforts focused on optimization – making the server more efficient. These efforts transitioned into standardizing virtualization across the data center, including management of servers, storage and networking. Now customers are looking to use virtualization technology and all supporting infrastructure as a complete and extremely efficient system.HP ConvergedSystem 300 for Virtualization has been designed to address one of today’s top priorities for IT organizations – deploying applications faster through virtualization but in a way that does not increase IT complexity. Pre-configured to meet the needs of mid-market customers, HP ConvergedSystem 300 for Virtualization offerings can be easily, reliably, and rapidly deployed to support a variety of virtualized application use cases such as general IT infrastructure, decision support, collaboration or business processing.
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converged system, server, complexity, storage, networking, virtualization, data center, cloud, infrastructure, red hat, integrated, optimization, solution, standardizing
    
HP
Published By: HP     Published Date: Aug 26, 2014
Just Right IT solutions, based on HP servers, storage, networking, and services, simplify business technology, giving you more time to focus on your business. Whether you’re just getting started with virtualization and file sharing, or supporting expansion with solutions for server consolidation, data backup, and business consolidation, Just Right IT solutions provide appropriate technologies for your organization’s needs today. And when your business is ready for the next level of expansion, HP offers Just Right IT solutions that address growing requirements for collaboration, continuity, and consolidation. Learn more.
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virtualization, data backup, business, technology, portfolio, cloud-based, support, portal, solution, consolidate, islands, access, reliable, retention, protection, data management
    
HP
Published By: Dell     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell | Cloudera® Apache™ Hadoop® solutions for big data.
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dell, data management, data integration, big data, hadoop
    
Dell
Published By: VMware AirWatch     Published Date: Mar 02, 2017
The VMware 2016 State of the Digital Workspace Report was performed in July 2016 and is a study that examined digital workspace adoption among global organizations across industries. Data represents a survey of 1,263 business decision makers (BDMs) and IT influencers to examine the worldwide progress in transitioning from the client-server era to the mobile-cloud era. Respondents acknowledged that game-changing IT relies on organizations adopting a digital workspace that includes security and identify management as vital components. With realistic prospects of achieving astounding return on investment (ROI), even businesses that cited obstacles to adoption may want to consider taking another look at business mobility initiatives.
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VMware AirWatch
Published By: VMware AirWatch     Published Date: Mar 02, 2017
In the world of the digital workspace, employees want to get access to apps and data, with one-touch single sign-on simplicity from any device, anywhere. This poses problems for organizations as they try to ensure security and control with contextual controls, such as device type, device posture, network location, and a host of other conditions. Download this infographic to see how VMware Workspace™ ONE™ is the identity-powered solution your organization has been looking for.
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VMware AirWatch
Published By: Compass Datacenters     Published Date: Feb 01, 2016
The world of data centers and IT has been historically been one of gradual evolution, but events and capabilities that have emerged over the past 3-5 years present both a challenge, and opportunity to the IT organization. Click here to read about the IT Metamorphosis.
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compass data centers, data center, cloud computing, facilities management
    
Compass Datacenters
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