data analytics

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Published By: Cisco     Published Date: Aug 28, 2015
A growing number of enterprises are adopting both private and public cloud computing models. While virtualization, cloud, mobility, data analytics, and the Internet of Things (IoT) are providing tremendous opportunities for businesses, they are also creating new challenges for IT departments.
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cloud, hybrid, iot, public cloud
    
Cisco
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: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: Cisco     Published Date: Dec 21, 2016
In a world characterized by increased virtualization, cloud computing, software-defined networking (SDN), and DevOps — and now containers and microservices — having comprehensive visibility into every flow and packet metadata is essential. This paper examines the need for and business value of pervasive, real-time visibility across the datacenter network. It also looks at the role of Cisco in the market for real-time datacenter analytics solutions.
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Cisco
Published By: Cisco     Published Date: Dec 22, 2016
Your network doesn’t just transport data. It serves a myriad of apps and endpoints—mobile devices, sensors, servers, machines, cameras, wearables—and all the employees, customers, and processes that use them. Which means it can produce invaluable contextual intelligence based on real-time analytics to help you navigate the growing demands of business, security, operations, and IT. Cisco DNA delivers crystal-clear visibility across your network so you can enhance mobile experiences and make business decisions quickly and accurately.
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Cisco
Published By: Phunware     Published Date: Aug 11, 2014
Mobile devices are streaming millions of location data points in real-time. These data points are extremely valuable in their own right because the very apps that help generate data can also be used to act on insights and deliver relevant messages. Download these insights and examples to turn mobile data into actions.
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phunware, mobile, physical marketing analytics, location analytics, business intelligence, space management, customer service, crm, loyalty, analytics for mobile, analytics on mobile, app analytics, app tracking analytics, mobile analytics tool, mobile app analytics, mobile app usage analytics, mobile data analytics, mobile device analytics, mobile location analytics
    
Phunware
Published By: Teradata     Published Date: Nov 06, 2014
As today’s marketing analytics requirements become increasingly cross-channel and real-time, your organization can’t risk crude integration between marketing and analytics assets. Together, these assets must work like a well-oiled machine. So what can you do? Should you integrate standalone marketing and analytics systems? Watch this to discover answers from industry experts.
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teradata, business intelligence, marketing intelligence, marketing analytics, marketing automation
    
Teradata
Published By: DataSift     Published Date: Dec 04, 2014
How is working with social media data relevant and accessible in the context of application development? How can working with social media data be made valuable as well as both economically and technically feasible?
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datasift, social media data, social media, social media analytics, application development, big data
    
DataSift
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache
    
Altiscale
Published By: Storiant     Published Date: Mar 16, 2015
This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model.
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storiant, data growth, data center, online data, data storage, storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market
    
Storiant
Published By: Clicktale     Published Date: Oct 14, 2015
As marketers, we rely on metrics to measure our success or failure. But how effective are traditional analytics? When metrics can’t see beyond the mouse click, how can we understand what the people behind the screen are experiencing? How can we know what happened before the click, or what happens after? ClickTale’s newest eBook will show you how Digital Customer Experience metrics help you look past the numbers, and understand what your customers and visitors are really experiencing on your website. Download Digital Customer Experience Metrics: Uncovering the Behavior behind the Numbers now, and start turning metrics into actionable understanding!
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engagement metrics, engagement optimization, website optimization, web analytics, website analytics, website engagement, user experience, user interface, digital customer experience, user engagement, a/b testing, customer experience, customer experience metrics, data analytics, marketing data, data insights, analytics software, enterprise
    
Clicktale
Published By: Clicktale     Published Date: Oct 27, 2015
Forms can make or break your business goals. How do yours stack up? In our newest e-book, How Forms Can Confuse, Confound and Chase Your Customers Away, we take a look at some common form pitfalls. Check it out!
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conversion optmization, forms optimization, website optimization, web forms, website analytics, website engagement, user experience, user interface, digital customer experience, user engagement, a/b testing, customer experience, form optimization, checkouts, data insights, analytics software, enterprise
    
Clicktale
Published By: Cisco     Published Date: Feb 16, 2016
This document will identify the essential capabilities you need in an advanced malware protection solution, the key questions you should ask your vendor, and shows you how Cisco combats today’s advanced malware attacks using a combination of four techniques.
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cisco, malware, data security, analytics, global security threat
    
Cisco
Published By: Impetus     Published Date: Mar 15, 2016
Streaming analytics platforms provide businesses a method for extracting strategic value from data-in-motion in a manner similar to how traditional analytics tools operate on data-at rest.
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impetus, guide to stream analytics, real time streaming analytics, streaming analytics, real time analytics, big data analytics
    
Impetus
Published By: IBM     Published Date: Jul 31, 2015
In the rapidly changing market, CSPs need big data/analytics plans that focus on customer objectives, business operations and new revenue generation.
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ibm, telecom, csps, big data, analytics plans, business operations, revenue generation
    
IBM
Published By: IBM     Published Date: Jun 20, 2014
Data can provide enormous business value if it is properly identified, analyzed, stored and managed in accordance with its changing value over the course of its lifecycle.
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ibm, big data, data storage, data analytics, data management, information management, information economics
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
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ibm, analytics, big data, midmarket, midsize businesses, data-driven insights, business insights, business value, data analysis
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
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ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics, data-driven insights, decision making
    
IBM
Published By: IBM     Published Date: Jul 22, 2014
Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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ibm, cloud, cloud storage, storage, storage environment efficiency, environment efficiency, data protection, data driven analytics, storage systems, storage costs, it budget
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
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big data, analytics, technology, chief data officer
    
IBM
Published By: IBM     Published Date: Oct 06, 2014
Born from new advances in data processing from IBM Research, IBM® DB2® with BLU Acceleration is a leap forward in database technology that raises the bar for performance and value. BLU Acceleration uses patented technologies to deliver a unique combination of performance, ease of use and cost-efficiency—with 8 to 25 times faster reporting and analytics1 and cases of more than 1,000 times faster answers to queries.2 BLU Acceleration also complements in-memory Dynamic Cubes in IBM Cognos® Business Intelligence with 24 times faster query performance.
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data processing, blu accerleration, database technology, data analytics
    
IBM
Published By: IBM     Published Date: Oct 14, 2014
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
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it trends, data center strategies, cloud computing, mobile technology
    
IBM
Published By: IBM     Published Date: Oct 30, 2014
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
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business analytics, big data, bi/ba
    
IBM
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