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Published By: Microsoft     Published Date: Feb 02, 2017
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions. Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
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Microsoft
Published By: Intel     Published Date: Apr 19, 2016
Learn how Intel DCM solution provided an organization real-time and historical data center thermal maps and cooling analysis.
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intel, data center management, power and cooling, power, energy
    
Intel
Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: Gigaom     Published Date: Oct 15, 2019
Data pipelines are a reality for most organizations. While we work hard to bring compute to the data, to virtualize and to federate, sometimes data has to move to an optimized platform. While schema-on-read has its advantages for exploratory analytics, pipeline-driven schema-on-write is a reality for production data warehouses, data lakes and other BI repositories. But data pipelines can be operationally brittle, and automation approaches to date have led to a generation of unsophisticated code and triggers whose management and maintenance, especially at-scale, is no easier than the manually-crafted stuff. But it doesn’t have to be that way. With advances in machine learning and the industry’s decades of experience with pipeline development and orchestration, we can take pipeline automation into the realm of intelligent systems. The implications are significant, leading to data-driven agility while eliminating denial of data pipelines’ utility and necessity. To learn more, join us fo
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Gigaom
Published By: Informatica     Published Date: Oct 28, 2011
In this White Paper, Bloor Research director Philip Howard discusses how Data Replication can help you deliver active data warehousing for analytics.
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data management
    
Informatica
Published By: McAfee     Published Date: Mar 08, 2013
Databases store companies’ most valuable information assets, but in most cases they’re poorly protected. It’s important to secure databases as well as or better than other systems in the enterprise. But it’s not that simple.
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real-time database monitoring, database authentication, database access control, database activity monitoring, database intrusion prevention, authentication and access control, database security
    
McAfee
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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StreamSets
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines key data management challenges facing modern businesses and explains how DataStax Enterprise provides the first post-relational database solution to handle real-time, analytic, and search data without using RDBMS solutions.
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datastax, data stax, data management, database management, database, enterprise, search data, rdbms
    
Data Stax
Published By: Datto Inc.     Published Date: May 08, 2013
TAG Computer Services shares why a golf course and real estate office need business continuity. This success story outlines what happens after two of their clients experienced server failure, yet TAG was able to minimize downtime and ensure business continuity.
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datto, virus protection, msp, managed service provider, backup and recovery, disaster recovery, business continuity
    
Datto Inc.
Published By: STANLEY Healthcare     Published Date: Mar 24, 2015
When performing preventive maintenance or addressing a recall on IV pumps, Deaconess Gateway Hospital personnel spent hours scouring the facility to locate the right pieces of equipment. At the same time, the hospital was purchasing an average of 12 new telemetry packs each year—at over $1,000 each—due to accidental loss of these highly mobile devices. Read this white paper to learn more about how Deaconess Gateway Hospital is using a real-time locating platform to improve mobile equipment visibility and build a foundation for future analytics and intelligence.
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hospital, healthcare, locating platform, mobile equipment visibility, analytics, intelligence, medical equipment
    
STANLEY Healthcare
Published By: IBM     Published Date: Oct 24, 2012
Decisions, decisions. They can make or break marketing success. Yet as customers and channels grow more complex, so does decision-making making marketing challenging. Learn more about the decision to match the right message to customer.
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ibm, marketing, analytics, decision, connected customer, real time marketing, decision management, customer experience
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business.
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business technology
    
IBM
Published By: IBM     Published Date: Jan 17, 2013
Read this white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business.
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decisions, success, drive, management, effectively, business data, support, real-time
    
IBM
Published By: Infoblox     Published Date: Dec 28, 2012
Learn about defeating Dos/DDoS attacks in real time -- Know about the causes of rapid growth in the number of Denial of Service (DoS/DDoS) attacks and more.
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infoblox, dos, ddos, denial of service attacks, security, denial of service, isp, internet service provider
    
Infoblox
Published By: Datastax     Published Date: Aug 07, 2018
Today’s hyper-connected customers expect highly personalized and accurate information “Right-Now”
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Datastax
Published By: Dell EMC     Published Date: May 09, 2019
Traditional methods for provisioning and deploying end-user devices can present real headaches to IT staff and business in general. In comparison, Dell Provisioning for Vmware Workspace ONE® saves time for small and large-scale deployments. This service enables a company to pre-configure devices before they leave the factory, with no ongoing IT involvement. Download this white paper from Dell and Intel® to learn how to; eliminate on-site adminstrative deployment time, deploy large quanitites of fully provisioned devices with a single one-time configuration, and, expedite getting fully configured systems to end-users.
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Dell EMC
Published By: Intel     Published Date: May 22, 2017
While holding the promise of HD quality, enriched services, and the benefits of a common packet switched access infrastructure, the adoption of infrastructure-based voice over LTE (VoLTE), along with rich communications such as video and real-time messaging, has stalled over the last few years with concerns around quality, security, and cost. During that time, the value of the phone number as a globally significant user ID and key services such as SMS and MMS have been relegated by phone manufacturers, over the top (OTT) services, and even the subscribers themselves as “technologies of last resort.” Finally, the proliferation of 4G, together with the emergence of network functions virtualization (NFV), powered by Intel®, Hewlett Packard Enterprise* (HPE), and Metaswitch*, is allowing network operators to take charge of the consumer’s communications experience, once more.
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Intel
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