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analytics technology

Results 151 - 175 of 212Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Jan 21, 2016
Take this assessment, designed specifically for communication service providers, to find out how effective your organization is at harnessing the power of big data and analytics to drive excellence across your organization.
Tags : ibm, telecommunications, analytics, marketing, business technology, internet marketing, crm & customer care, telecom
     IBM
By: IBM     Published Date: Aug 06, 2014
Social media is reshaping the relationships that customers have with products, services and brands. Read this white paper to learn how the right combination of technologies can help you understand emerging consumer trends and increase the ROI of your marketing campaigns.
Tags : ibm, retail, social media, analytics, insights, actionable, relationships, technology
     IBM
By: IBM     Published Date: Oct 06, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : networks, ibm, redefining networks, cloud, analytics, mobile, social, security
     IBM
By: IBM     Published Date: Feb 29, 2016
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
Tags : ibm, network, cloud, analytics, mobile, social, big data, it security
     IBM
By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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     Cisco
By: Cisco     Published Date: Jul 11, 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
By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
Tags : analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
     IBM
By: SAS     Published Date: Aug 28, 2018
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
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     SAS
By: SAS     Published Date: Aug 28, 2018
With the widespread adoption of predictive analytics, organizations have a number of solutions at their fingertips. From machine learning capabilities to open platform architectures, the resources available to innovate with growing amounts of data are vast. In this TDWI Navigator Report for Predictive Analytics, researcher Fern Halper outlines market opportunities, challenges, forces, status and landscape to help organizations adopt technology for managing and using their data. As highlighted in this report, TDWI shares some key differentiators for SAS, including the breadth and depth of functionality when it comes to advanced analytics that supports multiple personas including executives, IT, data scientists and developers.
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     SAS
By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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     SAS
By: SAS     Published Date: Jan 30, 2019
Machine learning systems don’t just extract insights from the data they are fed, as traditional analytics do. They actually change the underlying algorithm based on what they learn from the data. So the “garbage in, garbage out” truism that applies to all analytic pursuits is truer than ever. Few companies are already using AI, but 72 percent of business leaders responding to a PWC survey say it will be fundamental in the future. Now is the time for executives, particularly the chief data officer, to decide on data management strategy, technology and best practices that will be essential for continued success.
Tags : 
     SAS
By: SAS     Published Date: Mar 20, 2019
One of the best ways to learn is from your peers. How do they drive innovation? What are their challenges and business problems? And what technology and processes are they using to solve them? We’re all partners in this analytics journey. Sharing our experiences is how we learn, grow and find a better way. In this ebook, you’ll meet fellow CIOs and technology innovators. Through their stories, you’ll see how organizations of all sizes, all over the globe, encounter many of the same daily challenges. Most importantly, you’ll learn how they’re successfully overcoming them.
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     SAS
By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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     SAS
By: IBM     Published Date: Sep 27, 2013
Analytics: The Real-World Use of Big Data - How innovative enterprises in the midmarket extract value from uncertain data This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, big data, big data solutions, midmarket businesses, analytics
     IBM
By: IBM     Published Date: Oct 10, 2013
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.
Tags : technology trends, pervasive technology, data center, resilient infrastructures, collaboration and analytics, mobile technology, ibm, accurate strategies
     IBM
By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
Tags : ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud
     IBM
By: IBM     Published Date: Jan 02, 2014
For midsize organizations, business analytics offers the crucial ability to transform data into insight and uncover opportunities for growth and competitive advantage. This Aberdeen Sector Insight explores the impact of business analytics in North American midsize organizations.
Tags : ibm, aberdeen group, mid-market analytics, data into insight, business analytics, technology investment, aberdeen sector insight, opportunities for growth
     IBM
By: IBM     Published Date: Jan 09, 2014
Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you
Tags : power 7, big data, watson, decision making, power systems, virtualization, spss collaboration, ibm
     IBM
By: IBM     Published Date: Apr 18, 2014
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.
Tags : ibm, mainframe, platform, big data, analytics, big data and analytics, bda, big data technology
     IBM
By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
Tags : cisco, lbs, it technology, wifi, analytics, wireless networks
     Cisco
By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
Tags : cisco, idc, lbs, wireless, wifi, mobility, it solutions
     Cisco
By: Cisco     Published Date: Apr 10, 2015
Location-based services (LBS) show promise as a budding customer-centric mobility solution in some early adopting verticals such as retail, hospitality, and large public venues. Such services enable businesses to better understand their customer base through analytics as well as offer targeted, context-based communications including promotions and remote assistance. This IDC white paper explores the burgeoning LBS market, highlighting custom research conducted by IDC in March and April 2014; surveys were fielded to both IT and line-of-business (LOB) decision makers in select verticals and market segments. In this white paper, IDC analyzes the data and explores the attitudes surrounding LBS adoption in the context of broader technology trends.
Tags : cisco, lbs, it technology, wifi, analytics, wireless networks
     Cisco
By: Cisco     Published Date: Dec 21, 2016
Technology’s role in business and society has shifted away from largely driving efficiencies to innovating and creating engaging experiences that attract and retain customers. Innovations and business outcomes are fueled by a perfect storm of technology trends in cloud, analytics, machine learning, IoT and the emerging API Economy. The convergence of these technologies has created new opportunities for enterprises to improve business performance by acquiring customers faster while creating brand loyalty. The role of technology expands the interaction with customers beyond the core of the enterprise – away from 100% dependencies on systems of records – and towards real-time, contextual interactions. Businesses are a digital business or they are evolving to become one. This requires enterprises to re-think how they build software architectures.
Tags : 
     Cisco
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
Tags : 
     Cisco
By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA is a powerful, in-memory computing platform that streamlines business suite applications, analytics, planning, predictive analysis, and sentiment analysis on a single platform, so businesses can operate in real time. The design approach for enterprise-level solutions involving SAP HANA, and the best practices surrounding them, isn’t intrinsically different from the approach to any other enterprise-level solution for technology implementations. This paper is written to address those elements of good solution design and apply them to the SAP landscape, with particular focus on the SAP HANA element.
Tags : sap hana, as a service solution, solutions, cost effective, operational management, accelerate value
     HP Enterprise System
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