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Results 26 - 50 of 493Sort Results By: Published Date | Title | Company Name
Published By: HERE Technologies     Published Date: Dec 06, 2018
adsquare offers brands insights into customer behaviors and footfall to underpin digital marketing campaigns. Using a detailed brief of the audience the brand wishes to reach, adsquare gathers data from a range of mobile, online and offline sources. This rich data gives a brand a stronger opportunity to create relevant campaigns for their audiences. It is critical to adsquare’s success that its data sources are reliable. As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE is building and sharing real-time location intelligence with adsquare which reveals patterns to show how and why customers make transactions in specific places.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
We have conditioned patients not only to expect opioids for pain relief, but to utilize more and more of them, and the addiction is both psychological and physical. To remedy the situation, a lot of policies and practices and behaviors must change around how the health care system approaches pain. But we do not yet have the data and analytics we need to determine what specifically to do at the patient level or the policy level. Download this whitepaper to learn more about the resources available and how we can fix this issue.
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SAS
Published By: SAS     Published Date: Jan 17, 2018
What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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SAS
Published By: Pentaho     Published Date: Nov 04, 2015
Amid unprecedented data growth, how are businesses optimizing their data environments to ensure data governance while creating analytic value? How do they ensure the delivery of trusted and governed data as they integrate data from a variety of sources? If providing appropriately governed data across all your data sources is a concern, or if the delivery of consistent, accurate, and trusted analytic insights with the best blended data is important to you, then don’t miss “Delivering Governed Data For Analytics At Scale,” an August 2015 commissioned study conducted by Forrester Consulting on behalf of Pentaho.
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pentaho, analytics, platforms, big data, predictive analytics, data management, networking, it management
    
Pentaho
Published By: Cisco     Published Date: Jun 21, 2016
Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System (Cisco UCS) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
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Cisco
Published By: Cisco     Published Date: Jun 21, 2016
En adoptant de nouvelles technologies, telles que le cloud, la mobilité, le Big Data et l'Internet des objets, vous améliorez les interactions entre les personnes, les processus, les données et les objets, et tirez le meilleur parti des connexions réseau et des ressources disponibles. L'IT prend également une nouvelle dimension dans l'entreprise. Pour rester en phase avec les objectifs de l'entreprise, le département IT doit innover et offrir des solutions performantes encore plus rapidement. L'infrastructure intégrée Cisco UCS® (Cisco Unified Computing System™) vous permet de migrer vers le Fast IT, un nouveau modèle IT qui transforme votre infrastructure de data center en un environnement rapide, agile, intelligent et sécurisé. Faites tomber les barrières informatiques qui freinent votre croissance et créez des solutions qui exploitent tout le potentiel des nouvelles connexions et informations.
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Cisco
Published By: Oracle     Published Date: Sep 05, 2014
CMOs face a major dilemma: While 75% of CEOs want marketing to become more ROI-focused and attribute revenue to efforts, they’re also being tasked to innovate and lead their companies into the digital age. Read how the Oracle Marketing Cloud provides marketing leaders with data-driven solutions to unify marketing resources and empower Modern Marketing teams to deliver personalized customer experiences across each channel.
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roi, marketing, cmo, resources, modern, cloud, digital age, resources
    
Oracle
Published By: Oracle     Published Date: Feb 24, 2015
Data is the fuel of all marketing activities. Customers and prospective buyers are savvy, empowered, and carry high expectations for personalization across all interactions. Without the right data—at the right time—as well as the most effective strategies in place to manage our data sources, our communications and offers are dead on arrival. A one-size-fits-all approach to marketing is not a sound tactic—it’s a marketing fruitcake that no one wants to receive. It’s time to get down with data to delight your audience and provide them with the personal experiences they deserve. Read the marketing essentials guide now.
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data center design and management, data center
    
Oracle
Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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AWS
Published By: Hewlett Packard Enterprise     Published Date: Aug 23, 2018
Storage is normally the first suspect when identifying the causes of the App-Data Gap, but the facts tell a different story. Flash Alone Isn’t Enough. Infrastructure complexity makes it difficult to pinpoint the real problem, resulting in: • Extended downtime and frustration • Inefficient use of IT resources and budget • Long hours spent resolving cross-vendor issues
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Hewlett Packard Enterprise
Published By: Adobe     Published Date: Nov 09, 2017
Robust Data Management Platforms drive intimate customer experiences. You know the importance of identifying your best customer segments and treating them right. You also know that takes a ton of work. But it’s work that we can help you accomplish with our integrated and secure Data Management Platform (DMP). By using Adobe Audience Manager, our DMP offering, you'll aggregate data from all your sources to better understand your current customer segments, while we also help you identify new audiences to target. The new Forrester Wave™: Data Management Platforms, Q2 2017 says “Adobe was a DMP Forrester Wave leader in 2013 and 2015, and continues to set the pace in this Forrester Wave.” See where we receive the highest scores and why we are named a Leader in this report.
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Adobe
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Dell and Nutanix     Published Date: Oct 26, 2017
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented.
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Dell and Nutanix
Published By: Dell PC Lifecycle     Published Date: Aug 13, 2018
Your business may need to keep track of dozens of different initiatives—but that doesn’t mean you need dozens of separate storage solutions to get the job done. To reduce complexity, your business may consider storage solutions that can take care of multiple jobs at once without sacrificing performance. For example, if you operate a brick-and-mortar store and an online store, you should be able to retrieve customer data from both sources without compromising transactional database performance. The all-flash Dell EMC™ SC5020 storage array aims to be just such a solution.
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Dell PC Lifecycle
Published By: Dell PC Lifecycle     Published Date: Aug 13, 2018
Your business may need to keep track of dozens of different initiatives—but that doesn’t mean you need dozens of separate storage solutions to get the job done. To reduce complexity, your business may consider storage solutions that can take care of multiple jobs at once without sacrificing performance. For example, if you operate a brick-and-mortar store and an online store, you should be able to retrieve customer data from both sources without compromising transactional database performance. The all-flash Dell EMC™ SC5020 storage array aims to be just such a solution.
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Dell PC Lifecycle
Published By: Dell EMC & Intel     Published Date: Mar 16, 2018
Today’s businesses are rapidly transforming to prepare for the changes taking place in the global economy. Companies of all sizes can benefit from tools that automate the deployment and ongoing maintenance of server environments. Put another way, in today’s digital economy, where users need access to intelligible data faster, IT organizations must employ tools that automate the delivery of IT as a Service (ITaaS). Dell EMC’s Intelligent Automation simplifies the management and maintenance of its PowerEdge server hardware. Designed to drive down the cost and resources associated with server lifecycle management, Intelligent Automation relies on integrated Dell Remote Access Controller(iDRAC) and OpenManage server management software to deliver reliable and efficient automation to PowerEdge Servers. Intel Inside®. New Possibilities Outside.
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Dell EMC & Intel
Published By: Dell EMC & Intel     Published Date: Sep 06, 2018
Jusqu’à présent, les améliorations du datacenter se sont limitées à la réduction des coûts et à des solutions ponctuelles. La consolidation des serveurs, le Cloud computing, la virtualisation et l’implémentation de stockage Flash ont contribué à réduire la prolifération des serveurs, ainsi que les coûts de personnel et d’installations associés. Regroupant ressources de calcul, de stockage et de réseau au sein d’une même solution, les systèmes convergés se révèlent particulièrement efficaces dans la baisse des dépenses de personnel et de fonctionnement. Ces systèmes définis par logiciel (software-defined) exigent peu d’interventions humaines. Le code intégré dans le logiciel configure le matériel et automatise de nombreux processus autrefois manuels, ce qui réduit considérablement le risque d’erreurs humaines. Ensemble, ces technologies ont permis aux entreprises d’améliorer progressivement les processus et stratégies d’engagement client et de prestation de services.
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Dell EMC & Intel
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software GmbH
Published By: Akamai Technologies     Published Date: Aug 17, 2017
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
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cloud security, scale, data center, ddos
    
Akamai Technologies
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: RMS     Published Date: Jul 18, 2019
The more holistic view of risk a property underwriter can get, the better decisions they are likely to make. In order to build up a detailed picture of risk at an individual location, underwriters or agents at coverholders have, until now, had to request exposure analytics on single risks from their portfolio managers and brokers. Also, they had to gather supplementary risk data from a range of external resources, whether it is from Catastrophe Risk Evaluation and Standardizing Target Accumulations (CRESTA) zones to look-ups on Google Maps.
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RMS
Published By: Akamai Technologies     Published Date: Aug 17, 2017
Web application and DDoS attacks hit enterprises without warning or reason. The attacks can expose confidential data and website resources to malicious uses, reduce performance, and render sites unavailable. Responsible organizations proactively block web attacks to protect their reputations, site availability, site performance, and confidential data.
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application, security, performance, web attacks, data security
    
Akamai Technologies
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
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