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Results 101 - 125 of 146Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
Tags : 
ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment, policy rates, customer retention, claims data, transaction data
    
IBM
By: IBM     Published Date: Feb 24, 2015
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : 
big data, ibm, claims operations, customer service
    
IBM
By: IBM     Published Date: May 31, 2017
The promise of the Internet of Things is huge, but how can leaders extract real value from it? Four key areas can provide easy entry points to tap into the IoT, and quickly begin to realize value with IoT technologies. To find out how you can extract value from the IoT, check out this recent IBV study.
Tags : 
iot, internet of things, iot technology, digital transformation
    
IBM
By: IBM     Published Date: Jul 13, 2017
Leaders embracing the ioT are gaining new values, including accelerating innovation, enhancing operations, and improving engagement. Disruptors are utilizing the internet of things and recomposing their businesses by digital transformation. There are many different ways to unlock the potential of the internet of things. The promise of the Internet of Things is huge, but how can leaders extract real value from it? Four key areas can provide easy entry points to tap into the IoT, and quickly begin to realize value with IoT technologies. To find out how you can extract value from the IoT, check out this recent IBV study.
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iot, internet of things, innovation, enhancing operations, digital transformation, iot technologies
    
IBM
By: IBM     Published Date: Oct 18, 2017
The promise of the Internet of Things is huge, but how can leaders extract real value from it? Four key areas can provide easy entry points to tap into the IoT, and quickly begin to realize value with IoT technologies. To find out how you can extract value from the IoT, check out this recent IBV study.
Tags : 
internet, ibm, ibv, internet of things
    
IBM
By: Gleanster     Published Date: Nov 10, 2011
This Gleansight benchmark report is based on the experiences of 387 companies and includes the following sections: Reasons to Implement, Challenges, Value Drivers, Core Technologies and Success Story. It also includes a Vendor Landscape with descriptions, rankings and analysis of 39 solution providers. Social intelligence is being increasingly used today to describe the next rung on the evolutionary ladder of listening to and acting upon consumer conversation on the social web. That rung maps to a number of technology innovations. Chief among them are improved capabilities around analyzing and integrating all sources of voice-of-the-customer data to generate more actionable insights. Social intelligence also speaks to an emerging corporate mindset regarding the strategic importance of social data and the need to better capitalize upon it. This Gleansight benchmark report reveals how Top Performers are achieving success when it comes to the incessant quest to extract customer insights and take actions that ultimately translate into revenue growth, cost reduction, risk reduction and relationship enhancement.
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social intelligence, marketing, social media, gleanster
    
Gleanster
By: SPSS Inc.     Published Date: Mar 31, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
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spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS Inc.
By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
By: IBM     Published Date: May 29, 2015
Learn how innovative communications service providers are extracting value from uncertain data through this whitepaper!
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, telecommunications, business intelligence, data mining
    
IBM
By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
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: Oct 03, 2018
Because terrorists and other criminals are already using technology to carry out their missions, intelligence professionals need to access all available, appropriate information, to extract important elements and process, analyze and disseminate it quickly to keep ahead of potential threats. The scale, complexity and changing nature of intelligence data can make it impossible to stay in front without the aid of technology to collect, process and analyze big data. This paper describes a solution for how this information can be quickly and safely shared with access based on a user's organizational responsibilities and need to know.
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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: Rackspace     Published Date: Mar 25, 2015
Got cloud? If you’re an SMB, you’ve already been there, done that. But are you really extracting maximum value out of your cloud hosted solutions?
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rackspace, smb cloud, small business networks, cloud strategy, blade servers, storage virtualization, it spending, total cost of ownership, cloud computing, data center design and management
    
Rackspace
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.
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ibm, big data, big data solutions, midmarket businesses, analytics, it management, data management
    
IBM
By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume, data generation, data management, storage, acceleration, business intelligence, data warehouse, analytical applications, data mining, data warehousing
    
IBM
By: Cisco     Published Date: Feb 16, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
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technology, infrastructure management, security, network management, network performance, best practices, productivity
    
Cisco
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, monitoring, network architecture, business activity monitoring, business analytics, analytical applications, data warehousing
    
Impetus
By: IBM     Published Date: Jun 09, 2015
Government revenue management agencies are using computer technology to capture and harvest data and extract value from it. This paper explains the importance of being data-droven and outlines a way forward in the journey of getting there.
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ibm, government, data, records, legal, information, benefits
    
IBM
By: Infor     Published Date: Apr 01, 2010
This report identified how top performing organizations leverage and execute multichannel marketing campaigns. The findings demonstrate how Best-in-Class organizations are leveraging a collaborative cross-channel approach to extract maximum value and marketing efforts.
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infor, cross-channel campaign management, multichannel marketing, knowledge management, performance management, metrics, application performance management, sales & marketing software
    
Infor
By: SPSS     Published Date: Jun 30, 2009
This paper briefly defines text analytics, describes various approaches to text analytics, and then focuses on the natural language processing techniques used by text analytics solutions.
Tags : 
spss, text analytics, data management, statistical analysis, natural language processing techniques, computational linguistics, web sites, blogs, wikis, e-mails, instant messaging, predictive analytics, bottom up approach, documents, customer relationship management, crm, voice of the customer, competitive landscape, security threats, understanding text
    
SPSS
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