it analytics

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TDWI: Operationalizing and Embedding Analytics for Action

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

OReilly: The Evolution of Analytics: Opportunities and Challenges for Machine Learning in Business

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

International Institute for Analytics: Text Analytics: Unlocking the Value of Unstructured Data

Published By: SAS     Published Date: Jun 05, 2017
Find out what text analytics can do for an organization and the top three things people need to know when adopting text analytics. This research brief from the International Institute for Analytics and SAS outlines the challenges of implementing text analytics solutions and explores what makes this technology unique and exciting.  
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SAS

Blue Hill Research: IoT Analytics in Practice

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

IIA: The Internet of Things: Opportunities and Applications Across Industries

Published By: SAS     Published Date: Jun 05, 2017
The Internet of Things is fast becoming a fixture in some industries, and the technologies for transformative business applications are at hand. Yet many organizations have been slow to recognize and act on these new opportunities. This report from the International Institute for Analytics explores the many business opportunities IoT presents, details its associated implementation challenges and describes how organizations can accelerate their progress so they don’t fall behind.
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SAS

The Power of Collaboration: How to Use SAS Visual Analytics with Microsoft Office

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

TDWI Best Practices: Data Lakes, Purposes, Practices, Patterns and Platforms (customized reports)

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

Bringing the Power of SAS to Hadoop

Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
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SAS

TDWI Best Practices: Accelerating the Path to Value with Business Intelligence and Analytics

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

IBM powers predictive sales analytics with the help of Sugar

Published By: SugarCRM     Published Date: Jan 20, 2015
After an initial rollout to more than 45,000 sales users, IBM wanted even greater insights. Thanks to the high usability of Sugar, IBM was able to increase sales data quality - which has gone on to power predictive sales analytics. Learn how IBM and SugarCRM are driving more effective sales teams.
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sales analytics, data quality, sales, high usability, enterprise applications, data management
    
SugarCRM

4 Keys to Personalizing the Web Experience

Published By: IBM     Published Date: Aug 20, 2013
In many ways, today’s web marketers are like blindfolded shopkeepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off. Whether your shop is real, virtual, or a combination of the two, the more complete your customer vision, the greater the value you can provide to them and the greater value they will deliver to your bottom line.
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personalization, real time personalization, web personalization, marketing, web experience, data, analytics, site analytics
    
IBM

Application Performance Management for Dummies

Published By: Riverbed     Published Date: Jan 28, 2014
Application performance management helps deliver the application performance users and the business demand. Effectively monitoring and troubleshooting application performance issues requires a comprehensive solution.
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riverbed, cascade network performance management, application performance management, application performance issues, end-user experience monitoring, it visibility, deep component monitoring, network infrastructure
    
Riverbed

A Beginner’s Guide to App Analytics

Published By: Localytics     Published Date: Jul 18, 2014
In this 23-page eBook, written for people new to app analytics, you'll learn what you need to know to start improving your app.
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app analytics, mobile analytics, app analytics tools, app analytics guide, app monetization, user value, user acquisition, user conversion
    
Localytics

Infographic: The Speed of Transformation in Healthcare IT

Published By: Logicalis     Published Date: Aug 29, 2014
Learn how healthcare providers can keep pace with the changing healthcare IT landscape.
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logicalis, healthcare, healthcare it, hit, storage, patient engagement, mobility, byod
    
Logicalis

4 Keys to Personalizing the Web Experience

Published By: IBM     Published Date: Aug 20, 2013
In many ways, today’s web marketers are like blindfolded shop-keepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off. Whether your shop is real, virtual, or a combination of the two, the more complete your customer vision, the greater the value you can provide to them and the greater value they will deliver to your bottom line.
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personalization, real time personalization, web personalization, marketing, web experience, data, analytics, site analytics
    
IBM

Executive Brief: Leveraging Mobility to Improve Sales

Published By: Oracle     Published Date: Nov 05, 2013
Sales people spend more time out of the office than in. When they are out of the office, they need information at their fingertips. And in today’s more mobile, more collaborative, and more data-rich business world, the needs of corporate sales forces are radically changing. In particular, sales people have always needed access to information about their customer before a meeting and an easy way to update customer information after a meeting. Now, to work more efficiently from the road, they could benefit from and in many cases need additional help in the form of relationship management assistance, collaboration tools, and contextual and relevant business analytics.
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mobility, mobile, collaboration, crm, customer service, sales, enterprise communication, mobile crm
    
Oracle

Definitive Guide to Marketing Metrics and Analytics

Published By: Marketo     Published Date: Aug 16, 2011
Do you know what profits a 10% increase in your marketing budget would generate? Forty-four percent of qualified marketers have no idea. This guide will help you calculate just that, and so much more!
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marketo, marketing metrics, marketing roi, marketing profits, marketing, marketing analytics, marketing revenue
    
Marketo

Campaign Landing Page

Published By: Cisco     Published Date: Jan 05, 2015
The four pillars of computing — cloud, mobility, social, and analytics — are driving new levels of network innovation in datacenter networks. These forces are now buffeting the datacenter along with virtualization and the Internet of Things (IoT), resulting in sweeping changes in traffic patterns that expose the limitations of traditional networks and their operational models. To become a resource rather than a bottleneck to overall datacenter performance, the network must deliver not just exceptional performance and scalability but also unprecedented automation and orchestration that can yield agility, flexibility, and service velocity. This Technology Spotlight examines these key trends and discusses the role that Cisco's Application Centric Infrastructure (ACI) plays in addressing these ongoing challenges for enterprise IT and network managers.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise, it management, enterprise applications
    
Cisco

IDC Report: Optimizing the Data Center Network

Published By: Cisco     Published Date: Jan 05, 2015
The current evolution of computing is prompting enterprise datacenters and their associated networks to adopt new approaches. The four pillars of computing — cloud, mobility, social, and analytics — are now the key trends driving new levels of network innovation that will determine the design and operation of datacenter networks over the next several years.
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cloud computing, infrastructure, marketplace, application, hybrid, enterprise, it management, enterprise applications
    
Cisco

Next Generation Firewall (NGFW) Security Value Map

Published By: Cisco     Published Date: Jan 15, 2015
Empirical data from our individual Product Analysis Reports (PARs) and Comparative Analysis Reports (CARs) is used to create the unique Security Value MapTM (SVM). The SVM provides a quick, clear overview of the relative value of security investment options by mapping security effectiveness and value (TCO per protected Mbps) of tested product configurations.
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comparitive analysis, datacenter, social, analytics, security, data management
    
Cisco

TWTV: Cisco ASA with FirePOWER Services

Published By: Cisco     Published Date: Jan 15, 2015
In today’s dynamic network environment, point-in-time solutions lack the visibility and control you need to implement an effective security policy that will accelerate threat detection and response. And disparate solutions only add to capital and operating costs and administrative complexity.
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operating costs, capital, threat detection, visibility, networks, computing, cloud, innovation
    
Cisco

Requirements When Considering a Next-Generation Firewall

Published By: Cisco     Published Date: Jan 15, 2015
The current evolution of computing is prompting enterprise datacenters and their associated networks to adopt new approaches. The four pillars of computing — cloud, mobility, social, and analytics — are now the key trends driving new levels of network innovation that will determine the design and operation of datacenter networks over the next several years.
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firewall, next generation, networks, computing, cloud, innovation, enterprise, datacenter
    
Cisco

Optimizing the Datacenter Network for Improved Scalability, Orchestration, and Automation

Published By: Cisco     Published Date: Jan 20, 2015
The current evolution of computing is prompting enterprise datacenters and their associated networks to adopt new approaches. The four pillars of computing — cloud, mobility, social, and analytics — are now the key trends driving new levels of network innovation that will determine the design and operation of datacenter networks over the next several years.
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datacenter, optimization, computing, enterprise, scalability, network, orchestration, innovation
    
Cisco

Forrester: Turn Big Data Analysis Inward With IT Analytics

Published By: Riverbed     Published Date: Jul 15, 2014
Your business is complex. Big data promises to manage this complexity to make better decisions. But the technology services that run your business are also complex. Many are too complex to manage easily, fueling more complexity, delays, and downtime. Forrester predicts this will inevitably get worse. To combat this onslaught, you can no longer just accelerate current practices or rely on human intelligence. You need machines to analyze conditions to invoke the appropriate actions. These actions themselves can be automated. To perform adaptive, full-service automation, you need IT analytics, a disruption to your existing monitoring and management strategy.
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big data analysis, it analytics, manage, complex, automation, monitoring, management strategy, networking
    
Riverbed

Free Guide: 10 User Engagement Metrics Everyone Can Use

Published By: Yottaa, Inc.     Published Date: May 09, 2014
Increasing user engagement is a primary goal for any website, but measuring it isn’t easy. "User engagement" means different things to different businesses. This free guide defines 10 critical user engagement metrics every business can use, along with web benchmarks and tips. Find out what each of these metrics indicates about your site’s user experience, and where your site stands among the wider web. All of these metrics can be found within free testing tools you likely use already, like Google Analytics and Websitetest.com. Start measuring your website engagement today - download guide here!
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user engagement, conversion optimization, cro, conversion rate, bounce rate, cart abandonment, traffic, web performance
    
Yottaa, Inc.
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